BPG is committed to discovery and dissemination of knowledge
Minireviews Open Access
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. Oct 15, 2025; 16(10): 108254
Published online Oct 15, 2025. doi: 10.4239/wjd.v16.i10.108254
Maternal and neonatal outcomes according to the timing of diagnosis of gestational diabetes: A critical appraisal
John Punnose, Department of Endocrinology and Metabolism, St. Stephen’s Hospital, Delhi 110054, India
ORCID number: John Punnose (0000-0001-9883-6188).
Author contributions: Punnose J conceptualized the topic, reviewed literature, and prepared the manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: John Punnose, MD, Chief Physician, Dean, Department of Endocrinology and Metabolism, St. Stephen’s Hospital, Tis Hazari, Delhi 110054, India. drpunnose@rediffmail.com
Received: April 9, 2025
Revised: May 11, 2025
Accepted: September 11, 2025
Published online: October 15, 2025
Processing time: 189 Days and 18 Hours

Abstract

Gestational diabetes mellitus (GDM) is the most common metabolic abnormality of pregnancy and is associated with early and late adverse outcomes for both mothers and fetuses. Conventionally, GDM is diagnosed between 24 and 28 gestational weeks (GW) (late-onset GDM). With the increasing prevalence of prediabetes among women of reproductive age, GDM is increasingly being diagnosed before 24 GW in high-risk populations (early-onset GDM). Compared with late-onset GDM pregnancies, early-onset GDM pregnancies are at greater risk for neonatal adverse events, such as perinatal mortality, neonatal hypoglycemia, neonatal respiratory distress syndrome, and macrosomia. The TOBOGM study revealed that the initiation of treatment before 20 GW can modestly reduce composite neonatal outcomes, mainly due to a reduction in the rate of neonatal respiratory distress syndrome. The benefit was greater when treatment was initiated before 14 GW. The probable mechanisms for early-onset hyperglycemia-induced neonatal adverse events are decidual and placental defects, interference with fetal lung development, and fetal glucose steal. There is no international consensus on the GDM screening strategy in early pregnancy, and its cost-effectiveness is questioned by several professional bodies. Further prospective randomized controlled studies are strongly recommended to alleviate confusion in clinical practice regarding the management of mild hyperglycemia in early pregnancy.

Key Words: Maternal hyperglycemia; Adverse events; Gestational diabetes; Screening period; Diagnostic criteria; Prediabetes; Pregnancy outcomes; Neonatal outcomes

Core Tip: Gestational diabetes mellitus (GDM) is the most common metabolic abnormality of pregnancy and is associated with early and late adverse outcomes for both mothers and fetuses. Hyperglycemia that satisfies the GDM diagnostic criteria is increasingly being identified in early pregnancy [early-onset GDM (E-GDM)]. Despite treatment, adverse pregnancy events are more common in E-GDM than in late-onset GDM. The TOBOGM study revealed a significant reduction in adverse neonatal events, especially neonatal respiratory distress syndrome, when GDM treatment was initiated in early pregnancy and reported the cost-effectiveness of this strategy. More prospective randomized controlled trials are needed to develop an internationally accepted criterion for E-GDM diagnosis.



INTRODUCTION

Gestational diabetes mellitus (GDM) is the most common metabolic disorder of pregnancy, affecting several million women worldwide[1], and its prevalence varies widely depending on the population studied and the diagnostic strategy employed. The global GDM prevalence is estimated to be 14% by the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. The standardized (according to the IADPSG criteria) GDM prevalence in North America and the Caribbean, Europe, South and Central America, Africa, the Western Pacific, Southeast Asia, the Middle East and North Africa are 7.1%, 7.8%, 10.4%, 14.2%, 14.7%, 20.8% and 27.6%, respectively[2]. GDM is linked to several immediate pregnancy-related maternal and fetal adverse events, such as cesarean delivery, preterm delivery, gestational hypertension, large for gestational age (LGA) babies, macrosomia, birth trauma, neonatal hypoglycemia and polycythemia, neonatal jaundice, respiratory distress syndrome, and neonatal intensive care unit (NICU) admission[1]. Furthermore, GDM places mothers and infants at high risk for several long-term metabolic morbidities, such as obesity, metabolic syndrome, type 2 diabetes mellitus, and cardiovascular morbidity[1,3,4].

Many aspects of GDM, such as its definition, diagnostic criteria, and timing of screening during pregnancy, remain without an international consensus. However, the oral glucose tolerance test (OGTT) is regarded as the gold standard for diagnosing GDM, despite its cumbersome nature and low reproducibility. Currently, there is no universal agreement on the timing of the OGTT, glucose load, glucose threshold values, or number of abnormal values required for GDM diagnosis. Most professional bodies recommend screening for undiagnosed “overt diabetes mellitus” at the first antenatal visit, employing the same criteria used for the nonpregnant population[5,6]. However, there is ongoing controversy on the clinical relevance of mild “hyperglycemia” (below the threshold for diabetes mellitus diagnosis) detected in early pregnancy. With the increasing prevalence of prediabetes among women of reproductive age in several countries, a significant number of pregnant women are identified as having “intermediate hyperglycemia” of undetermined significance at their first antenatal visit[7]. Conflicting recommendations from preeminent organizations have caused significant confusion in obstetric practice regarding GDM diagnosis outside the standard screening period of 24-28 gestational weeks (GW) used in many developing countries[7].

There is evidence to suggest the failure of current GDM screening and management strategies to reduce the short-term and long-term adverse events associated with GDM in women and their offspring to levels comparable to those of non-GDM pregnancies. Ye et al[8] conducted a meta-analysis of 156 studies involving 7506061 pregnant women from both developed and developing countries (after 1990, using different diagnostic criteria) and reported that, despite treatment, GDM pregnancy outcomes are suboptimal. In studies with no insulin use, when adjusted for confounders, pregnancies with GDM had increased odds of cesarean section [odds ratio (OR) = 1.16, 95% confidence interval (CI): 1.03-1.32], preterm delivery (OR = 1.51, 95%CI: 1.26-1.80), a low one-minute Apgar score (OR = 1.43, 95%CI: 1.01-2.03), macrosomia (OR = 1.70, 95%CI: 1.23-2.36), and infants born LGA (OR = 1.57, 95%CI: 1.25-1.97). In studies with insulin use, when adjusted for confounders, the odds of having an infant LGA (OR = 1.61, 95%CI: 1.09-2.37), respiratory distress syndrome (OR = 1.57, 95%CI: 1.19-2.08), neonatal jaundice (OR = 1.28, 95%CI: 1.02-1.62), or requiring admission to the NICU (OR = 2.29, 95%CI: 1.59-3.31) were greater in pregnancies with GDM than in those without. Another meta-analysis by García-Patterson et al[9] evaluated the impact of GDM treatment on medium- and long-term outcomes after pregnancy. The analysis included five studies (1140 women, 767 offspring) with follow-ups ranging from 4 to 16 years after delivery. GDM treatment did not reduce the risk of maternal diabetes [relative risk (RR) = 1.00; 95%CI: 0.82-1.23] or metabolic syndrome (RR = 0.93; 95%CI: 0.71-1.22). Additionally, treating GDM did not change the offspring’s risk for impaired fasting glucose (OR = 0.79; 95%CI: 0.39-1.69) or body mass index (BMI) ≥ 85th centile (RR = 0.91; 95%CI: 0.74-1.12). A retrospective cohort study from a tertiary center in Sydney, Australia[10], reported that pregnancies with GDM had higher rates of several adverse outcomes. Interestingly, compared with non-GDM pregnancies, only women with GDM who attended nondedicated clinics experienced increased adverse outcomes; higher odds of hypertensive disorders of pregnancy [adjusted OR (aOR) = 1.6, 95%CI: 1.2-2.0], preterm birth (aOR = 1.7, 95%CI: 1.4-2.0), and obstetric anal sphincter injuries (aOR = 1.4, 95%CI: 1.0-2.0). These findings suggest that specialized treatment of GDM in a dedicated multidisciplinary clinic can reduce many adverse events. However, increased odds of admission to the NICU/special care nursery were observed in both the nonspecialized clinics (aOR = 1.5, 95%CI: 1.3-1.8) and the specialized GDM clinics (aOR = 1.7, 95%CI: 1.3-2.2).

The above studies suggest the need to critically evaluate and modify our current strategies for GDM screening, diagnosis, and management with the ultimate aim of reducing adverse pregnancy outcomes to levels comparable to those of non-GDM pregnancies. The potential areas of improvement include: (1) Early identification of hyperglycemia during pregnancy and timely interventions; (2) Defining trimester- and ethnicity-specific screening and management strategies; and (3) Developing dedicated GDM care centers, especially among high-risk populations.

The main objective of this minireview is to explore the current knowledge regarding the impact of maternal hyperglycemia at different stages of pregnancy on the development of maternal and neonatal adverse events, with a special focus on hyperglycemia in early pregnancy. Additionally, the mechanisms of hyperglycemia-induced adverse pregnancy events and the benefits and cost-effectiveness of GDM treatment in early pregnancy are discussed. Furthermore, the scope of this minireview includes a brief update on the current recommendations on GDM screening strategies and the diagnostic criteria.

GDM SCREENING TIMING: CURRENT PRACTICES AND CONTROVERSIES

Several preeminent professional bodies have proposed GDM screening between 24 and 28 GW (Table 1)[1,5,11-21]. The selection of this time window is guided by the assumption that placental hormones are elevated enough by 24 GW to produce adequate insulin resistance to accurately diagnose women with GDM. Furthermore, identifying GDM pregnancies before 29 GW provides adequate time for therapeutic interventions to prevent maternal and neonatal complications. The Hyperglycemia and Adverse Pregnancy Outcomes (HAPO) study provides strong evidence that maternal hyperglycemia between 24 and 32 GW is linked to adverse pregnancy outcomes, and controlling “mild hyperglycemia” has been shown to reduce these adverse events in various randomized controlled trials[22,23]. However, limiting the harmful effects of mild maternal hyperglycemia to only the gestational period after 24 GW raises several concerns: (1) The general concept is that the physiological decline in insulin sensitivity in the second half of pregnancy is caused by rising placental hormones, which leads to maternal hyperglycemia after 24 GW. However, pathological insulin resistance due to obesity and a prediabetic state unrelated to placental hormones can result in mild hyperglycemia in early pregnancy. With the increasing prevalence of prediabetes among women of reproductive age in many countries, a significant proportion of pregnant women have insulin resistance in the periconceptual period itself[24]; (2) Postponing GDM screening to 24 GW suggests that milder dysglycemia in early pregnancy has less clinical significance and that all maternal and fetal complications are associated with glucose intolerance occurring after 24 GW; and (3) Dysglycemia in early pregnancy is considered significant only if it persists after 24 GW; the reason cited by the IADPSG is to withdraw permission to use their criteria for GDM diagnosis before 24 GW[15].

Table 1 Commonly used gestational diabetes mellitus diagnostic criteria.
Ref.1
Diagnostic approach
Standard screening period
GDM diagnosis: PG threshold values in mmol/L, at or above
GDM diagnosis: Criteria before 24 GW
Comments and controversies
O’Sullivan and Mahan[25], 1964Two step screening, 50 g OCT, if positive, 100 g OGTTNot specified by the authorsFPG 5, 1-hour PG 9.2, 2-hour PG 6.9, 3-hour PG 7, 2 abnormal valuesNot specified by the authorsThe first validated test for GDM diagnosis based mainly on future development of type 2 diabetes. No specific data of E-GDM. Controversy on sensitivity of OCT2. 100 g glucose produces gastric discomfort
NDDG, 1979Two step screening; 50 g OCT, if positive, 100 g OGTTNot specified by the NDDGFPG 5.9, 1-hour PG 10.6, 2-hour PG 9.2, 3-hour PG 8.1, 2 abnormal valuesNot specified by NDDG14% change in glucose threshold values, considering the changes in laboratory standards from whole blood to plasma or serum glucose values. Controversy on sensitivity of OCT2. 100 g glucose produces gastric discomfort
Carpenter and Coustan[12], 1982Two step screening, 50 g OCT, if positive, 100 g OGTTNot specified by the authorsFPG 5.3, 1-hour 10, 2-hour 8.6, 3-hour 7.8, 2 abnormal valuesNot specified by authorsModification for plasma glucose estimation by glucose oxidase technique.
Controversy on sensitivity of OCT2. 100 g glucose produces gastric discomfort. Many organizations recommend C & C criteria for E-GDM screening
IADPSG, 2010, modified 2016One step, 75 g OGTT24-28 GWFPG 5.1, 1-hour PG 10, 2-hour 8.5, one abnormal valueRecommendation of FPG ≥ 5.1 mmol/L in 2010, withdrawn in 2016Derived from the strong pregnancy outcome data of HAPO study. Concerns about marked increase in GDM prevalence and the cost effectiveness of these criteria. Many countries use these criteria for early pregnancy
WHO, 2013One step, 75 g OGTT24-28 GWFPG 5.1, 1-hour PG 10, 2-hour 8.5, one abnormal valueRecommends same criteria as of 24-28 GW for high-risk womenIn 2013, the WHO changed the 1999 criteria, accepting the IADPSG criteria
ADA, 2025One step, IADPSG, or 2 step C & C criteria24-28 GWEither IADPSG or C & C criteria for diagnosisFor high-risk women: FPG 6.1-6.9 mmol/L, HbA1c 41-47 mmol/molApproves both IADPSG and C & C criteria, causing confusion among obstetricians/diabetologists. There are major differences in GDM prevalence by these criteria. Does not recommend IADPSG or C & C criteria for use in early pregnancy
ACOG, 2018Two step screening, 50 g OCT, if positive, 100 g OGTT24-28 GWEither C & C criteria or alternative NDDG: FPG 5.8, 1-hour 10.6, 2-hour 9, 2 abnormal valuesFor high-risk women: Same criteria as for 24-28 GWAll concerns of C & C and NDDG criteria
NICE, 2020One step screening, screening only for high-risk women, one step 75 g OGTT24-28 GWFPG 5.6, 2-hour PG 7.8, one abnormal valueRecommend 75 g OGTT at booking for women with GDM history: Same diagnostic criteria as for 24-28 GWMainly used in United Kingdom. Concerns about racial differences in GDM diagnosis by these criteria. Permitted for use in early pregnancy for women with history of GDM only (not for other risks)
CDA, 2018Two step screening, 50 g OCT, if positive, 75 g OGTT. Alternatively, one step IADPSG criteria24-48 GWIf 1-hour OCT 111 or 75 g OGTT: FPG 5.3, 1-hour PG 10.6, 2-hour PG 9, one abnormal valueHigh risk women: Same criteria as for 24-28 GW at any stage in pregnancyIssues related with sensitivity of screening OCT as with ACOG criteria
Govt of India Guideline, 2018One step, non-fasting 75 g OGTTIf negative for GDM at booking, rescreen at 24-28 GW2-hour PG 7.8Universal screening: 75 g OGTT at bookingOnly diagnostic OGTT in non-fasting state. May be of relevance in rural setting. Concerns about the validity of this test
ADIPS, 2013One step, 75 g OGTT24-28 GWFPG 5.1, 1-hour PG 10, 2-hour 8.5, one abnormal valueFor high-risk women 75 g OGTT at first opportunity after conception. Same criteria as for 24-28 GWCriteria same as in IADPSG, but permits its use in early pregnancy

Taking these concerns into consideration, many preeminent professional organizations, such as the World Health Organization (WHO) and the Australasian Diabetes in Pregnancy (DIP) Society, permit screening for GDM in early pregnancy among high-risk populations[16,21]. However, the recommendations of professional bodies, such as IADPSG (2016 revision after initial permission in 2010), against GDM diagnosis before 24 GW raised several management issues, especially in developing countries with a high GDM prevalence[15].

GDM DIAGNOSTIC CRITERIA CHALLENGES

Several guidelines and criteria are used for GDM screening in different regions, among which the two-step criteria suggested by Carpenter and Coustan (C & C criteria) and the one-step criteria of the IADPSG have wide acceptance[12,14] (Table 1). The first criteria for diagnosing GDM was proposed by O’Sullivan and Mahan in 1964[25]. These criteria were later validated in 1980 by ensuring their predictability for long-term glucose intolerance (22.6% at 8 years, 60% at 16 years of follow-up) and increased perinatal mortality[11]. O’Sullivan’s criteria were derived from OGTTs performed among 752 pregnant women in the obstetric department of Boston City Hospital between December 1956 and April 1957. These OGTTs represented different periods of gestation: 10-14, 15-28, and ≥ 29 GW in 30, 359, and 363 women, respectively. Therefore, glucose threshold values for GDM diagnosis were derived from the pooled blood sugar values of different trimesters (not the 24-28 GW period alone). In 1979, the National Diabetes Data Group introduced new GDM criteria by increasing O’Sullivan’s threshold values by 14% (considering the changes in laboratory standards from whole blood to plasma or serum glucose values)[13]. In 1982, Carpenter and Coustan[12] converted these threshold values for blood sugar (estimated by the Somogyi-Nelson method) to plasma glucose values (enzymatic method using glucose oxidase) to develop the popular C & C criteria. The American College of Obstetricians and Gynecologists and the American Diabetes Association support the C & C criteria for GDM diagnoses between 24 and 28 weeks, with permission for its use before 24 weeks for high-risk obstetric populations[5,17].

The IADPSG criteria (accepted by the WHO in 2013) are based on the seminal HAPO study, which included 25505 women of different races and ethnicities[14,26]. The IADPSG (2010) proposed fasting, 1-hour, and 2-hour post load plasma glucose threshold values on a 75 g OGTT on the basis of the strong association of these plasma glucose values between 24 and 32 GW and adverse pregnancy outcomes in the HAPO study. Therefore, the IADPSG criteria are the best-validated test for GDM diagnosis between 24 and 28 GW. When the criteria were introduced in 2010, a fasting plasma glucose (FPG) value ≥ 92 mg/dL was considered a diagnostic test of GDM at any stage of pregnancy. In 2016, the IADPSG retracted the recommendation to use FPG for GDM diagnoses before 24 GW[15]. This change in recommendation was based on the poor predictability of FPG in early pregnancy for GDM development after 24 GW. However, owing to a lack of alternative tests, many centers in both developed and developing countries continue to use the IADPSG criteria for GDM diagnosis before 24 GW[7,27,28].

Many regionally adopted criteria, such as the Australasian DIP Society, the National Institute for Health and Care Excellence (NICE) guidelines, the Ministry of Health; Government of India guidelines, and the Canadian Diabetes Association guidelines, are modifications of other internationally accepted criteria[19,20,21]. However, these modifications do not have the strength of being validated by pregnancy outcome data. Table 1 summarizes the details of various professional bodies recommendations for the GDM screening protocol (one or two steps), OGTT procedure (glucose load, timing of blood sampling, diagnostic blood/plasma glucose values), validity of the criteria for early pregnancy, and controversies. To date, there is no international consensus on the use of any of these criteria, even for GDM screening in the 24-28 GW period.

PREGNANCY OUTCOMES BY GDM DIAGNOSIS TIMING
HAPO study observations

The HAPO study data were reanalyzed in 2012 by Lowe et al[29] to assess the efficacy of glycated hemoglobin A1c (HbA1c) as an alternative to OGTT for GDM diagnosis. Although the study concluded that HbA1c is not a useful alternative to OGTT in this regard, the analysis yielded interesting findings. The plasma glucose levels measured during the 24-32 GW period were significantly and strongly associated with the neonate’s birth weight, sum of skin folds, and a percentage of body fat > the 90th percentile. In contrast, after adjustment for the composite glucose measure, the HbA1c level during the 24-32 GW period was not significantly associated with any of the above neonatal anthropometric outcomes. However, this difference between HbA1c and plasma glucose values was not observed for primary cesarean delivery, preterm delivery, clinical neonatal hypoglycemia, or preeclampsia. This analysis is relevant, as HbA1c reflects average glycemia over the preceding three months, and the adjustment for the composite glucose measure eliminated the impact of recent maternal glycemia. Hence, it is speculated that the risks for these outcomes are influenced by glycemia earlier in pregnancy, whereas the anthropometric outcomes are more strongly associated with glycemia later in pregnancy. This observation is of clinical relevance, as the data are derived from a closely monitored multiethnic HAPO cohort with no therapeutic interventions to lower glucose at any stage of pregnancy.

Comparison of adverse pregnancy outcomes between early-onset GDM and late-onset GDM pregnancies

In 2017, a systematic review and meta-analysis on screening and treatment of early-onset GDM (E-GDM) was performed by Immanuel and Simmons[30]. Upon screening 1495 articles, only 13 cohort studies (15270 GDM women) reported long-term data on pregnancy outcomes. The authors compared the treatment response of GDM pregnancies diagnosed before 24 GW (E-GDM) with that of those diagnosed with GDM after 24 GW [late-onset GDM (L-GDM)]. All studies used OGTTs for GDM diagnosis except one, which used HbA1c. In the meta-analysis, E-GDM pregnancies had a significantly greater likelihood of perinatal mortality (RR = 3.58, 95%CI: 1.91-6.71), neonatal hypoglycemia (RR = 1.61; 95%CI: 1.02-2.55), and insulin use (RR = 1.71; 95%CI: 1.45-2.03) than L-GDM pregnancies did. In a subgroup analysis, E-GDM in developed countries was associated with a significantly greater likelihood of NICU admission (RR = 1.12; 95%CI: 1.04-1.22). There was no significant difference between E-GDM and L-GDM in terms of mean birth weight or small or LGA babies.

From this exhaustive review and meta-analysis by Immanuel and Simmons[30] in 2017 to date, we identified six studies (with proper follow-up and statistical analysis data) that compared the adverse pregnancy outcomes of GDM diagnosed in early and late pregnancy[28,31-35]. Table 2 summarizes the details of their design, diagnostic criteria, adverse outcomes, statistical methodologies, and confounding factors. Four of these studies were comparative assessments between treatment for GDM in early and late pregnancy, whereas two compared adverse outcomes with those of non-GDM pregnancies. Most of these studies were retrospective in design (except the Tirado-Aguilar et al’s study[35]) and were limited by their study design, GDM diagnostic criteria, and differences in the selection of GW to define E-GDM. In four studies, GDM diagnosis was based on the IADPSG criteria, and two studies used a two-step screening strategy based on the C & C criteria or National Diabetes Data Group introduced new GDM criteria. Most of these studies used risk-based E-GDM screening strategies. The GDM risk factors for the women in these studies at the time of diagnosis are shown in Table 3.

Table 2 Design of studies comparing of adverse pregnancy outcomes between women having early gestational diabetes and late-onset gestational diabetes.
Ref.Study timeCountryStudy designGDM diagnostic criteriaAdverse outcomes assessed in the study, statical methodology, confounding factors
Feghali et al[31]January 2009 to October 2012United StatesRetrospective study; PGDM excluded; E-GDM < 24 GW, n = 167; L-GDM ≥ 24 GW, n = 1202; routine GDM care to allTwo step screening using; C & C criteria for both E-GDM and L-GDM; risk-based E-GDM screeningMacrosomia, preterm delivery, gestational hypertension, neonatal morbidity, conditional logistic regression analysis, reference L-GDM, confounding factors; maternal age, maternal race, education, private insurance, nulliparity, prepregnancy BMI, tobacco use, GDM history, 50 g glucose challenge test value, reference L-GDM
Shub et al[32]January 2005 to January 2016AustraliaRetrospective study; PGDM exclusion: Not mentioned; E-GDM < 20 GW, n = 170; L-GDM ≥ 20 GW, n = 171; no GDM, n = 547; routine GDM care to allOne step screening; same criteria for E-GDM and L-GDM; till 2013: FPG ≥ 5.5 mmol/L, or 2-hour PG ≥ 8 mmol/L. From 2014: IADPSG criteria, risk-based E-GDM screeningComposite obstetric outcome (caesarian, macrosomia, LGA, perineal tear, shoulder dystocia), composite neonatal outcomes (Apgar < 7 at 5 minutes, NICU admission, neonatal hypoglycemia, major birth defect). Multivariate logistic regression, reference “no GDM”. Confounding factors; maternal age, BMI, parity and region of birth
Punnose et al[33]January 2011 to September 2017IndiaRetrospective study; PGDM excluded; E-GDM < 24 GW, n = 255 (< 14 GW, n = 125, 14-23 GW, n = 130); L-GDM ≥ 24 GW, n = 467; routine GDM care to allOne step screening by IADPG criteria for both E-GDM and L-GDM; risk-based E-GDM screeningPremature birth, caesarian delivery, LGA babies, NICU admission, gestational hypertension, induction of labor, macrosomia, Apgar < 7 at 1 or 5 minutes. Multivariate regression analysis, reference “no-GDM”. Confounding factors; age, gravida, gestational age at delivery (except for premature delivery and LGA babies), hemoglobin, socioeconomic level, education, hypertension in pregnancy (except for gestational hypertension), BMI
Yefet et al[34]August 2005 to January 2018IsraelRetrospective study; PGDM excluded; study groups, GDM < 14 GW (T1), n = 117, GDM 14-23 GW (T2), n = 116, GDM ≥ 24 GW (T3), n = 2334. Also grouped as E-GDM < 24 GW, n = 233, L-GDM ≥ 24 GW, n = 2334; routine GDM care to allTwo step screening; C & C criteria or NDDG criteria for E-GDM and L-GDM. Risk based E-GDM screeningComposite neonatal outcomes (LGA babies, neonatal hypoglycemia, neonatal hyperbilirubinaemia. Other outcomes: Preterm birth, shoulder dystocia, birth trauma, foetal malformations. Multivariable logistic regression analysis, reference L-GDM. Confounding factors: Type of GDM control (A1 with diet alone, A2 with medications, age, BMI, parity, delivery week
Tirado-Aguilar et al[35]January 2022 to May 2023MexicoProspective study; PGDM excluded; E-GDM < 24 GW, n = 173; L-GDM 24-28 GW, n = 196; routine GDM careOne step screening, IADPSG for both E-GDM and L-GDM groups. Universal OGTT at first prenatal visit, if negative repeat screening 24-28 GWGestational hypertension, neonatal hypoglycemia, respiratory distress syndrome, neonatal asphyxia, neonatal hyperbilirubinaemia, mechanical ventilation, neonatal death. Logistic regression model analysis, reference L-GDM. Confounding factors; maternal age, pregestational BMI
Regnault et al[28]2018 French National Health DataFranceRetrospective study; PGDM excluded from GDM; 84705 women with hyperglycemia in pregnancy. GDM < 22 GW, n = 31134; GDM 22-30 GW, n = 44412; GDM > 30 GW, n = 8789; no GDM treatment detailsBefore 24 GW: FPG ≥ 5.1 mmol/L. > 24 GW: IADPSG criteriaMaternal outcomes: Caesarian, pre-eclampsia, ante and post-partum hemorrhage. Neonatal outcomes: Perinatal death, congenital malformations, LGA, Erb’s palsy and calvicular fracture, foetal distress, NICU admission, neonatal hypoglycemia preterm delivery. Multilevel Poisson regression analysis, reference l-GDM. Confounding factors; maternal age, socioeconomic status, and gestational age of delivery except for preterm delivery
Table 3 Comparative assessment of gestational diabetes mellitus risk factors and maternal glycemia at diagnosis, among early gestational diabetes and late gestational diabetes women, mean ± SD/mean (interquartile range)/n (%).
Ref.
Number of GDM women (n)
Age, years
BMI, kg/m2
Nulliparity
History of GDM
Family history of diabetes
Race
FPG, mmol/L
1-hour PG, mmol/L
2-hour PG, mmol/L
Feghali et al[31]E-GDM, 160; L-GDM, 120232.4 ± 5.2, 31.2 ± 5.5, P = 0.00735.4 ± 8.5, 29.4 ± 7.5, P = 0.00162 (37.1), 619 (51.5), P = 0.00154 (32.9), 113 (9.5), P < 0.001White 725%, White 76%, P = 0.15.51 ± 0.96, 5.06 ± 0.83, P < 0.000111.17 ± 1.71, 10.84 ± 1.46, P = 0.049.99 ± 2.23, 9.84 ± 1.47, P = 0.5
Shub et al[32]E-GDM, 170, L-GDM, 17133 (30-36), 32 (30-35), P < 0.00129 (25-35), 27 (23-35), P = 0.1539 (22.9), 43 (25.1), P = 0.015.01 ± 5.02, 4.63 ± 0.37, P < 0.0019.82 ± 1.82, 8.18 ± 1.48, P < 0.0018.41 ± 1.36, 6.41 ± 1.02, P < 0.001
Punnose et al[33]E-GDM, 255 L-GDM, 46729.42 ± 4.01, 28.35 ± 3.62, P < 0.00126.4 ± 4.45, 25.37 ± 4.19, P = 0.021111 (43.53), 234 (50.11), P = 0.273107 (41.96), 178 (38.12), P = 0.111103 (40.39), 110 (23.55), P < 0.001255 (100), 461 (100), all Asian Indians5.26 ± 0.46, 5.19 ± 0.43, P = 0.0899.08 ± 1.72, 9.36 ± 1.60, P = 0.0237.55 ± 1.43, 7.47 ± 1.37, P = 0.675
Yefet et al[34]E-GDM, 243, L-GDM, 233433.3 ± 5.3, 32.1 ± 5.5, P = 0.00230.5 ± 6.2, 27.5 ± 8.7, P < 0.00130 (12), 642 (28), P = 0.001
Tirado-Aguilar et al[35]E-GDM, 173, L-GDM, 19632 (28-37), 32 (27-37), P = 0.6578.5 (25.1-32.4), 27.6 (24.2-31.6), P = 0.0675.17 (4.8-5.4), 4.97 (4.6-5.3), P = 0.0108.94 (7.8-9.8), 9.27 (7.8-10), P = 0.1737.06 (6-8.1), 7.39 (6.3-8.6), P = 0.016
Regnault et al[28]E-GDM, 31134; L-GDM, 4441232.3 ± 5.3, 32.3 ± 5.3

Table 4 illustrates the comparative adverse pregnancy outcomes of these cohort studies. Similar to the meta-analysis by Immanuel and Simmons[30], the present series predominantly revealed higher aORs for adverse neonatal outcomes among pregnancies with E-GDM. Four studies reported data on neonatal hypoglycemia, and three reported that the aORs for this event were greater in the E-GDM group than in the L-GDM group: RR = 18.57, 95%CI: 2.69-21.21; RR = 3.5, 95%CI: 2-6.1; and RR = 4.2, 95%CI: 2.01-9 (compared with the non-GDM group but with higher aORs in the E-GDM group than in the L-GDM group). Similarly, compared with L-GDM, E-GDM pregnancies(< 14 GW) had greater aORs for perinatal mortality (Regnault et al[28]: RR =1.51, 95%CI: 1.19-1.91), shoulder dystocia (Yefet et al[34]: RR = 10.3, 95%CI: 2.4-44.6), respiratory distress (Shub et al[32]: RR = 4.6, 95%CI: 1.91-15.16), Erb’s palsy (Regnault et al[28]: RR = 1.55, 95%CI: 1.22-1.99), and preterm labor (Punnose et al[33]: RR = 2.3, 95%CI: 1.45-3.64). An interesting observation in the study by Punnose et al[33] was a 19% increase in aOR for premature delivery for every 4 weeks decrease of gestational age from 28 GW[33]. An increase in aOR for LGA babies/macrosomia was observed in three studies. Regnault et al[28]: RR = 1.10, 95%CI: 1.08-1.75, Feghali et al[31]: RR = 2.00, 95%CI: 1-4.1, and Punnose et al[33]: RR = 1.61, 95%CI: 1.10-2.67 in the < 14 GW group but not in the 14-23 GW group. The Renault study has limitations due to its failure to include maternal prepregnancy BMI as a confounding factor in the analysis of LGA babies[28]. Immanuel and Simmons[30] did not attempt to assess the impact of GDM diagnostic criteria on adverse pregnancy outcomes. The GDM diagnoses in four studies included in the present analysis were based on the IADPSG criteria, whereas two studies used tighter C & C criteria. The heterogeneity of the study design and lack of uniformity in the assessment of adverse events in studies using different criteria are major limitations to making a comparative assessment of the impact of different diagnostic criteria on adverse events.

Table 4 Adverse pregnancy outcomes among treated early gestational diabetes women in comparison with late-onset gestational diabetes or non-gestational diabetes mellitus women.
Outcome
Immanuel and Simmons[30], Ref: L-GDM, E-GDM, RR (95%CI)
Feghali et al[31], Ref: L-GDM, E-GDM, aOR (95%CI)
Tirado-Aguilar et al[35], Ref: L-GDM, E-GDM, aOR (95%CI)
Regnault et al[28], Ref: L-GDM, E-GDM, aPR (95%CI)
Yefet et al[34], Ref: L-GDM, E-GDM, aOR (95%CI)
Punnose et al[33]
Shub et al[32]
Ref: No GDM, L-GDM, aOR (95%CI)
Ref: No GDM, E-GDM, aOR (95%CI)
Ref: No GDM, L-GDM, aOR (95%CI)
Ref: No GDM, E-GDM, aOR (95%CI)
LGA babies1.07 (0.86-1.35)1.101 (1.06-1.14)NS1.371 (1.08-1.75)2.021 (1.51-2.71)0.6 (0.40-1.02)0.8 (0.49-1.23)
Perinatal mortality3.581 (1.91-6.7)0.29 (0.18-2.78)1.511 (1.19-1.91)
Neonatal hypoglycemia1.611 (1.02-2.55)18.571 (2.69-21.2)1.08 (0.96-1.22)3.51 (2-6.1)3.31 (1.5-7.06)4.21 (2.01-9.00)
NICU admission1.16 (0.9-1.49)1.04 (0.98-1.12)1.591 (1.22-2.07)1.891 (1.37-2.62)1.4 (0.85-2.29)1.6 (0.95-2.63)
Small for gestational age1.27 (0.92-1.75)
Macrosomia1.05 (0.77-1.41)21 (1-4.2)
Gestational hypertension or preeclampsia1.34 (0.98-1.82)1 (0.5-1.8)0.71 (0.18-2.78)0.96 (0.88-1.05)0.74 (0.43-1.27)0.82 (0.43-1.56)0.52 (0.22-1.25)0.48 (0.2-1.31)
Preterm1.16 (0.84-1.61)1.6 (0.9-2.9)1.01 (0.95-1.07)NS2.041 (1.54-2.69)3.141 (2.28-4.33)
Caesarian1.09 (0.94-1.26)1.03 (1-1.05)1.02 (0.83-1.26)1.381 (1.05-1.81)
Shoulder dystocia1.76 (0.96-3.24)10.31 (2.4-44.6)
Hyperbilirubinemia1.16 (0.91-1.48)1.14 (0.68-2.24)1.3 (0.9-1.8)
Respiratory distress1 (0.76-1.32)4.761 (1.91-15.16)
Erb’s palsy and clavicular fracture1.551 (1.22-1.99)
Apgar at 5-minute < 7/neonatal asphyxia3.29 (0.61-17.9)1.54 (0.59-2.51)1.59 (0.86-1.08)0.6 (0.17-2.30)0.37 (0.08-1.80)
Induction of labor1.451 (1.17-1.8)1.25 (0.94-1.65)2.481 (1.61-3.84)2.461 (1.55-3.93)
Neonatal composite1 (0.6-1.7)1.4 (0.9-2.231.81 (1.15-2.92)
Obstetric composite0.78 (0.53-1.12)1.16 (0.79-1.71)
OthersNS. For still birth, enterocolitis, mechanical ventilation, ventricular hemorrhageNS. For ante or post-partum hemorrhage, congenital malformations NS. For birth trauma, fetal malformationsComparable perineal tear, major birth defectsComparable perineal tear, major birth defects

The relative effect and the absolute risk difference for E-GDM treatment compared with L-GDM treatment for different adverse events are shown in Table 5. Immanuel and Simmons[30] reported absolute risk differences of 8.2%and 0.6% for neonatal hypoglycemia and perinatal mortality, respectively. Significant absolute risk differences were observed for neonatal hypoglycemia in two studies (Tirado-Aguilar et al[35] 10.6% and Yefet et al[34] 6.8%), respiratory distress in one study (Tirado-Aguilar et al[35] 9.8%), shoulder dystocia in one study (Yefet et al[34] 2.8%), and macrosomia in one study (Feghali et al[31], 7.9%). However, the risk difference for perinatal mortality in the present analysis was not significant.

Table 5 The relative effect and anticipate absolute effects on adverse events: Comparison between treated early gestational diabetes and late-onset gestational diabetes women.
Outcome
Immanuel and Simmons[30]
Feghali et al[31]
Tirado-Aguilar et al[35]
Regnault et al[28]
Yefet et al[34]
Relative effect, relative risk (95%CI)
Anticipated absolute effect, risk with L-GDM treated per 1000 women
Anticipated absolute effect, risk difference with E-GDM treated per 1000 women
Relative effect, aOR (95%CI)
Anticipated absolute effect, risk with L-GDM treated per 1000
Anticipated absolute effect, risk difference with E-GDM treated per 1000
Relative effect, aOR (95%CI)
Anticipated absolute effect, risk with L-GDM treated per 1000
Anticipated absolute effect, risk difference with E-GDM treated per 1000
Relative effect; adjusted prevalence ratio (95%CI)
Anticipated absolute effect, risk with L-GDM treated per 1000
Anticipated absolute effect, risk difference with E-GDM treated per 1000
Relative effect, aOR (95%CI)
Anticipated absolute effect, risk with L-GDM treated per 1000
Anticipated absolute effect, risk difference with E-GDM treated per 1000
Large for gestational age babies 1.07 (0.86-1.35)18713 more (26 fewer to 66 more)1.10 (1.06-1.14)17017 more (11 more to 24 more)
Perinatal mortality3.58 (1.91-6.71)26 more (2 more to 14 more)0.29 (0.18-2.78)108 fewer (9 fewer to 18 more)1.51 (1.19-1.91)21, 0 fewer to 2 more
Neonatal hypoglycemia1.61 (1.02-2.55)13482 more (3 more to 207 more)18.57 (2.69-21.2)6106 (11 more 122 more)1.08 (0.96-1.22)202 (2 fewer to 5 more)3.5 (2-6.1)2768 more (27 more to 138 more)
Caesarian delivery1.09 (0.94-1.26)31328 more (19 fewer to 81 more)1.03 (1-1.05)2508 more (0 fewer 13 more)
Shoulder dystocia1.76 (0.96-3.24)1612 more (19 fewer to 36 more)10.3 (2.4-44.6)328 more (5 more to 131 more)
Respiratory distress1 (0.76-1.32)380 fewer to 12 more4.76 (1.91-15.16)2698 (24 more to 369 more)
Macrosomia1.05 (0.77-1.41)1085 more (25 fewer to 55 more)2 (1-4.2)7979 more, 0 fewer to 253 more
Erb’s plasy1.55 (1.22-1.9921 more, 0 fewer to 2 more
Maternal glycemia before 24 GW and adverse events

A large retrospective cohort study among 12918 high-risk women in Hong Kong, China, reported a continuous increase in adverse pregnancy outcomes with increasing FPG and 2-hour plasma glucose (PG) levels before 24 GW[27]. The increased risk of developing any pregnancy complications started with an FPG of 4.5-4.7 mmol/L and a 2-hour PG of 6.2-6.9 mmol/L. Every increase of 1 mmol/L in FPG or 2-hour PG level increased the risk of developing any complications (aOR 1.614 for FPG and 1.131 for 2-hour PG), preeclampsia (aOR 1.472 for FPG and 1.143 for 2-hour PG), maternal insulin use (aOR 12.821 for FPG and 2.366 for 2-hour PG), primary cesarean section (aOR 1.274 for FPG and 1.099 for 2-hour PG), shoulder dystocia (aOR 1.941 for FPG and 1.282 for 2-hour PG), macrosomia (aOR 2.203 for FPG and 1.072 for 2-hour PG), and LGA babies (aOR 2.157 for FPG and 1.074 for 2-hour PG). The results of this study suggest that glycemic levels during early pregnancy (< 24 GW) among high-risk women are positively associated with adverse pregnancy events, even at levels below the current recommended diagnostic criteria for GDM.

Maternal glycemia in the first trimester (< 14 GW) and adverse pregnancy outcomes

Evaluating the importance of mild maternal hyperglycemia, which does not satisfy an overt diabetes diagnosis in early pregnancy, is vital for many population groups where prediabetes is common. This is often unmasked during the routine screening for overt diabetes by FPG and HbA1c estimation at booking. Several studies have investigated the association of mild hyperglycemia in the first trimester with adverse pregnancy outcomes.

Riskin-Mashiah et al[36] undertook a study of FPG in the first trimester in 6129 women at a median of 9.5 GW. FPG levels were analyzed in seven categories, as in the HAPO study. The frequency of LGA neonates/macrosomia increased from 7.9% in the lowest (< 4.17 mmol/L) to 19.4% in the highest (5.56-5.83 mmol/L) FPG category (aOR = 2.82; 95%CI: 1.67-4.76). Primary cesarean delivery increased from 12.7 to 20.0% in these categories; the aOR was 1.94, 95%CI: 1.11-3.41. There was no significant association between the fasting glucose category and either preterm delivery (< 37 GW) or NICU admission. Even after women who developed GDM later in pregnancy were excluded, the association between FPG in the first trimester and adverse pregnancy outcomes remained almost unchanged (aOR = 1.5, 95%CI: 1.18-1.95). The fact that FPG in the first trimester per se can be associated with adverse events (even without the development of L-GDM) signifies the importance of screening for maternal hyperglycemia in the first trimester. We reported a similar association of HbA1c in the first trimester with adverse pregnancy events among non-GDM women. In a survey of 1618 Asian Indian pregnant women who did not develop GDM later, having an HbA1c level between 37 and 46 mmol/mol (5.5%-6.4%) in the first trimester was linked to a greater chance of preterm birth (aOR = 2.10, 95%CI: 1.11-3.98)[37]. Additionally, for every five mmol/mol (0.5%) increase in HbA1c during the first trimester, there was a greater risk of primary cesarean delivery (aOR = 1.27; 95%CI: 1.06-1.52).

Even for those women who develop GDM in late pregnancy, a prediabetic state in the first trimester can be an additional risk factor for adverse events. Wilkie et al[38] retrospectively assessed 956 women with a GDM diagnosis after 24 GW. In this cohort, 696 women had prediabetes (by FPG, HbA1c, or OGTT) in the first trimester, whereas 260 women screened negative for prediabetes. Compared with women who screened negative for prediabetes, infants born to GDM mothers who screened positive for prediabetes in the first trimester were more likely to have NICU admission compared to those women who screened negative for prediabetes (aOR = 8.5; 95%CI: 1.5-49.9). Similarly, in a study among 686 GDM women in our center, an HbA1c of 37-46 mmol/mol (5.5%-6.4%) in the first trimester was associated with higher odds of preterm birth (OR = 1.86; 95%CI: 1.10-3.14) than an HbA1c < 37 mmol/mol[39]. These studies further reinforce the relevance of mild maternal hyperglycemia in the first trimester, regardless of subsequent GDM development.

In a Spanish multiethnic cohort of 1228 women in their first trimester, Mañé et al[40] (2019) reported that women with an HbA1c ≥ 5.8% (39.9 mmol/mol) had an increased risk of macrosomia (aOR = 2.69; 95%CI: 1.16-6.24). An HbA1c ≥ 5.9% (41 mmol/mol) was independently associated with a threefold increased risk of preeclampsia (95%CI: 1.03-9.9), and an HbA1c ≥ 6% (42.1 mmol/L) was associated with a fourfold increased risk of LGA babies (95%CI: 1.49-11.07)[36]. There was no association between preterm birth and HbA1c[40]. Hence, in many retrospective cohort studies, there is a suggestion for greater adverse neonatal outcomes among women with isolated mild hyperglycemia in the first trimester. This finding is relevant to many countries with a high prevalence of prediabetes among women of reproductive age[24]. These women might have developed the risk for adverse pregnancy events even before the pregnancy was diagnosed.

GDM diagnosis during different gestational periods within 24-32 weeks of gestation and adverse pregnancy outcomes

The HAPO study revealed a continuous association between maternal glycemia between 24 and 32 GW and adverse pregnancy outcomes[26]. However, the IADPSG and other organizations recommend GDM screening in pregnancy between 24-28 GW[14,17]. Will the delay in the initiation of GDM treatment until 32 GW affect adverse pregnancy outcomes? In a secondary analysis of the Maternal-Fetal Medicine Units Network randomized GDM treatment trial, Palatnik et al[41] examined the associations between gestational age at the start of GDM treatment and adverse pregnancy outcomes. The GDM diagnosis in this study was based on the two-stage modified C & C criteria (only women with FPG < 95 mg were included). The pregnancy outcomes of interest were compared between treated and untreated women in each GW category (stratified as 24-26, 27, 28, 29, and 30-31 GW). Within the above GW categories, earlier initiation of treatment was not associated with any differences in the following perinatal outcomes: Perinatal mortality, hypoglycemia, hyperbilirubinemia, neonatal hyperinsulinemia, birth trauma, LGA, cesarean delivery, or NICU admission. The findings of this study justify a few weeks of delay in the initiation of GDM treatment after the diagnostic OGTT results, a common practical difficulty in obstetric practice. However, this study has the limitation of excluding many GDM women with high FPG values (between 95-125 mg/dL). These findings need to be confirmed by a study including all GDM pregnancies satisfying the C & C criteria, as well as GDM diagnoses according to the more liberal IADPSG criteria.

THERAPEUTIC INTERVENTIONS IN EARLY PREGNANCY AND ADVERSE PREGNANCY OUTCOMES

Hillier et al[42] retrospectively assessed the impact of GDM screening in the first trimester among 40206 pregnant women (without pregestational diabetes; 9156 were obese) and GDM management on maternal and perinatal outcomes from 2009-2013 in Oregon and Southwest Washington, United States. The results were compared with the pregnancy outcomes in the same region during the three years of the preintervention period (2006-2009). After the intervention, the adjusted risk for LGA (aOR = 0.89, 95%CI: 0.82-0.96) and cesarean delivery (aOR = 0.78, 95%CI: 0.65-0.94) was lower than that before the intervention. These findings support the clinical recommendation of GDM screening in early pregnancy for patients with obesity.

The Booking GDM (TOBOGM) trial (2023) was a multicenter randomized controlled trial performed in 17 hospitals in Australia, Austria, Sweden, and India[43]. A total of 793 women who were diagnosed with GDM (IADPSG criteria) before 20 GW (at a mean gestational age of 15.6 ± 2.5 years) were assigned to either the immediate treatment group (n = 406) or the control group (n = 396) (who received no GDM treatment during pregnancy). Composite adverse neonatal outcomes occurred in 24.9% of the immediate treatment group, whereas they occurred in 30.5% of the control group. Adjusted risk difference, -5.6 percentage points; 95%CI: -10.1 to -1.2, P = 0.02. The RR reduction was 0.82 (95%CI: 0.68-0.98). The number of women who needed to be treated to prevent one such event was 18.

The median number of bed days in the NICU was also lower in the intervention group; the RR was 0.60 (95%CI: 0.41-0.89). A component analysis of the composite neonatal outcome group revealed that the risk reduction was due to a reduction in neonatal respiratory distress; the RR was 0.57 (95%CI: 0.41-0.79). The maximum benefit in terms of composite neonatal outcome reduction was obtained when the treatment was initiated before 14 GW (RR = -8.9, 95%CI: -15.1 to 2.6). There were no benefits of treatment associated with other adverse pregnancy outcomes, such as pregnancy-related hypertension, cesarean delivery, induction of labor, neonatal lean body mass, or large or small for gestational age babies.

The TOBOGM study is the first randomized controlled study to reveal a benefit in terms of major complications such as neonatal respiratory distress by early initiation of treatment among GDM (IADPSG criteria) pregnancies diagnosed before 20 weeks of gestation. The observation of greater benefit among the subgroup of women who initiated treatment before 14 GW is of paramount importance for many high-risk ethnic groups. The post-hoc analysis of the TOBOGM study data revealed several interesting findings, suggesting that we are “one step closer to a definition of E-GDM”[44]. Furthermore, the reduction in adverse neonatal outcomes observed in the TOBOGM trial makes E-GDM treatment more cost-effective than conventional care[45].

LIMITATIONS OF THE COMPARATIVE ASSESSMENT OF STUDIES ASSESSING THE IMPACT OF GDM TIMING ON ADVERSE PREGNANCY OUTCOMES

The main limitation of the comparative assessment of L-GDM and E-GDM in this minireview is the marked heterogeneity of the design of the various studies, a difficulty noted by Immanuel and Simmons[30] as well in their meta-analysis. The mix of studies used for this minireview lacked uniformity in the definition of E-GDM (< 20, < 22, < 24 GW) and in the GDM diagnostic criteria (IADPSG 4 studies, C & C criteria 2 studies). Even for comparisons between the E-GDM and L-GDM groups in a given study, different diagnostic criteria were used in different study periods (Shub et al[32], Regnault et al[28]). Most of these studies were retrospective, and GDM screening was mostly risk-based, except in one study (Tirado-Aguilar et al[35]). Although multivariate regression analysis was available for all studies, there are inadequacies in the use of confounding factors across different studies. The methodology was strikingly defective in the Regnault et al’s study[28], where GDM screening was risk-based (BMI > 25 kg/m2, family history of diabetes, history of macrosomic infants, and age > 35 years); only maternal age was used as a confounding factor[28]. Except for the TOBOGM study, none of these studies assessed the cost benefit of early treatment. The details regarding the mode of care, including dedicated clinics and standard care, are not available in any of these studies. For treated women with GDM, the details of glycemic control and gestational weight gain are not uniformly available. The lack of uniformity of the available data and missing essential data in the present study series are major limitations for assessing the impact of various diagnostic criteria, glucose load, confounding factors, and modes of care on adverse pregnancy outcomes. This analysis is not available in the meta-analysis by Immanuel and Simmons[30] either. TOBOGM is the only study in early pregnancy where the cost-effectiveness of early therapeutic intervention was assessed, and the results are favorable[45].

A literature search failed to yield any studies comparing the impact of different diagnostic criteria used selectively for E-GDM diagnosis on adverse pregnancy outcomes. A recent meta-analysis involving 30 studies (642355 participants; GDM and non-GDM controls, with no distinction of E-GDM or L-GDM) comparing the different criteria for GDM diagnosis suggested “no significant difference in risk between lower and higher blood glucose cut-offs used in GDM diagnosis”[46]. There was no difference between the IADPSG and non-IADPSG criteria for the effect of GDM on adverse maternal and fetal outcomes.

MECHANISMS OF MATERNAL HYPERGLYCEMIA-INDUCED ADVERSE PREGNANCY EVENTS

Two recent reviews on GDM by Hivert et al[3] and Wicklow and Retnakaran[47] provide a detailed analysis of probable pathogenic mechanisms for adverse pregnancy events in GDM from preconception, during pregnancy, and beyond. The physiology of fetal development and the mechanisms of hyperglycemia-induced derangements in different stages of development are summarized in Table 6. The widely held concept is that GDM affects the fetus only in late pregnancy, influencing several metabolic and anthropometric developments, fetal adiposity, macrosomia, LGA, and neonatal hypoglycemia. However, fetal development is more complex in early pregnancy and can be significantly influenced by the in utero metabolic milieu of that period. The strongest evidence in this regard is the effect of maternal hyperglycemia in uncontrolled pregestational diabetes on organogenesis[48]. Although it is much less common than pregestational diabetes is, E-GDM might also influence organ development, an effect that can be ameliorated by early initiation of GDM treatment (TOBOGM study)[43].

Table 6 Hyperglycemia in early pregnancy and fetal damage: Proposed mechanisms.
Gestational period in weeks
Foetal physiology
Maternal hyperglycemia effects
0-14 GWImplantation; early embryo organogenesis; decidual histotropic function; early placental development; spiral artery plugging. Low oxygen environment and anaerobic metabolism of glucose (glycolysis) and protection of embryo from oxygen-free radical-mediated damageMothers with pregestational prediabetes. Have several metabolic abnormalities: Mild dysglycemia and hyperinsulinemia, changes in HDL-C and triglycerides, C-reactive protein, tissue plasminogen activator antigen, adipokines, and insulin-like growth factor binding protein 2. Needs to explore the influence of these parameters on fetal physiology in the perinatal period and the benefits of preventive strategies
GDM diagnosed in the first trimester. Probable hyperglycemia-induced organogenesis, implantation and decidual dysfunctions, and placentation defects. Greater pro-oxidant and pro-inflammatory intrauterine milieu induced by hyperglycemia disturb the anaerobic environment, leading to fetal changes and miscarriage
14 GW onwardsExtravillous cytotrophoblast cells invade and remodel decidual cells to enable the entry of fully oxygenated maternal blood to reach the intervillous space and fetoplacental unit. Hematotropic nutrition and fetal growth and development. Placental-derived signals like hormones and extracellular vesicles induce adaptive responses in maternal physiology to support the fetoplacental unit. The mother-placenta interplay persists throughout pregnancyHyperglycemia and hyperinsulinemia-induced changes in spiral artery remodeling can interfere with oxygen and nutrient supply to the fetus. This will alter fetal growth dynamics throughout gestation. Hyperglycemia can induce epigenetic alterations affecting the signaling pathway. Insulin is detected in fetal circulation by 12 weeks, and maternal hyperglycemia can trigger a “fetal glucose steal phenomenon” to produce LGA babies. Fetal hyperinsulinemia at 17 GW is associated with insulin resistance and high free fatty acids in the offspring at age 5. This observation suggests that maternal hyperglycemia prior to 24 GW may trigger fetal programming for metabolic outcomes in the offspring. This is presumed to be due to epigenetic factors like DNA methylation, histone post-translational modifications, and non-coding RNAs

The main benefit of early intervention in the E-GDM group in the TOBOGM study was on the neonatal composite outcome, especially neonatal respiratory distress. Our analysis and Immanuel and Simmons’s meta-analysis also revealed that pregnancies in the E-GDM group were more prone to adverse neonatal outcomes[30]. The exact mechanisms linking hyperglycemia in early pregnancy with adverse neonatal outcomes are not clearly defined. The widely accepted reason for neonatal respiratory distress in GDM is fetal hyperglycemia/hyperinsulinemia-induced lung surfactant deficiency and atelectasis, which are more prevalent in preterm delivery[49]. Decidual and placentation defects in early pregnancy, as occur in E-GDM (Table 6), can trigger preterm delivery and neonatal respiratory distress[50]. GDM might affect fetal lung development and maturation because of: (1) The potential impact of early hyperglycemia on the canalicular phase of lung development; (2) Trophoblast-derived exosomes obstructing the fetal lung terminal airway branching process; and (3) Delaying the switching of fetal lung fluid physiology from chloride-driven fluid secretion to sodium-driven fluid absorption[3].

The role of the fetus in determining pregnancy outcomes is increasingly recognized. One such mechanism for increased fetal adiposity (macrosomia) before 24 GW is fetal glucose steal, which is established early in pregnancy[3,51]. Maternal hyperglycemia triggers the development of fetal hyperinsulinemia. Once fetal hyperinsulinism is established, it drives fetal glucose disposal, increasing the downward glucose gradient from the mother to the fetus and creating fetal glucose steal. Fetal hyperinsulinism favors persistently high glucose flux even at times when maternal glucose is normal. An exaggerated glucose steal by a hyperinsulinemic fetus could attenuate maternal glucose levels during OGTT, providing some mothers with fetuses with characteristics of diabetic fetopathy and “normal” maternal glucose tolerance. Fetal glucose steal can lead to the development of fetal obesity before 24 GW, which can be ameliorated by proper glycemic control in early pregnancy[51].

Several protein markers (adipokines and placental-derived biomarkers), nucleic acids (cell-free DNA and RNA), and metabolic biomarkers are under evaluation as predictive biomarkers for GDM diagnosis, management, and pregnancy outcomes. A detailed discussion of these biomarkers is available in a recent scoping review by Rathnayake et al[52]. Similarly, several epigenetic changes, such as DNA methylation, histone modifications, and microRNA gene silencing, have been identified in GDM patients, and they are increasingly being found to be associated with GDM pathophysiology and nutrigenetics[53]. Additionally, the intergenerational risk of increased excess adiposity and dysglycemia in the products of GDM pregnancies may be attributed to shared genetics, a shared family environment, and fetal programming as a result of the intrauterine metabolic environment[3].

RELATIONSHIP BETWEEN EARLY GDM AND PRE-EXISTING DIABETES MELLITUS

Apart from being a predisposing factor for adverse pregnancy events, maternal “hyperglycemia” in early pregnancy is being evaluated as a marker of preexisting maternal dysglycemia. In earlier sections of this minireview, the possibility of early GDM as a continuum of a preexisting pregestational prediabetic state was discussed. There is emerging evidence to link early GDM with a preexisting diabetic state as well[54,55]. Furthermore, those women who have hyperglycemia earlier in pregnancy are at higher risk of adverse perinatal outcomes compared to those who develop GDM later in pregnancy. In a retrospective analysis, Sweeting et al[56] observed that the adverse pregnancy events among women having GDM in the first trimester (after exclusion of preexisting diabetes) were comparable to those observed among pregnant women with preexisting diabetes. Another large population-based cohort study in Ontario, Canada, observed increased perinatal mortality among women having undiagnosed type 2 diabetes in pregnancy[57].

Currently, several professional bodies recommend screening at the first antenatal visit for undiagnosed preexisting diabetes or diabetes in pregnancy (DIP)[5,14,16,19,20]. The proposed diagnostic criteria for DIP include FPG ≥ 126 mg/dL, 2-hour PG ≥ 200 mg/dL, or HbA1c ≥ 6.5% (any one of the three). In a large prospective cohort study from New Zealand, Hughes et al[55] reported that HbA1c ≥ 5.9% (41 mmol/mol) before 20 GW could identify all cases of DIP and a group of women at 2-4-fold risk of adverse pregnancy events. In a retrospective analysis of 69417 pregnancies in Israel, Yefet et al[54] suggested HbA1c ≥ 5.8% in early pregnancy (before 24 GW) as an accurate independent marker for undiagnosed type 2 diabetes [area under curve 91% (95%CI: 81%-100%), 89% sensitivity, 86% specificity][54]. In this study, no independent association for FPG and 2-hour PG values with DIP, nor diagnostic threshold values, could be identified. These studies suggest that even at HbA1c values lower than the threshold value of 6.5% for DIP diagnosis, women having GDM in early pregnancy are at higher risk for adverse pregnancy events.

It is challenging to distinguish undiagnosed preexisting diabetes from GDM in early pregnancy. There are practical limitations to conducting pre-conception testing for assessing the glycemic status of all women planning for pregnancy. A definite distinction between preexisting diabetes and GDM can be made only in the postpartum period. Furthermore, no validated risk prediction models exist for pre-existing diabetes in early pregnancy. The current diagnostic criteria for DIP are derived from the PG and HbA1c threshold values for diagnosing diabetes among the non-obstetric population. However, the metabolic, hormonal, and hematological changes in pregnancy can induce physiological fluctuations in fasting PG, 2-hour PG, and HbA1c levels in different stages of pregnancy: Decline of PG levels in the first trimester[58] and decline of HbA1c values in the second trimester[59]. Hence, there is a strong need for further research to identify reliable markers for preexisting diabetes among early GDM women.

KNOWLEDGE GAPS AND FUTURE DIRECTIONS

There are major knowledge gaps in our understanding of E-GDM, especially in the context of increasing obesity and prediabetes prevalences among women of reproductive age. The global prevalence of prediabetes among women of reproductive age is 12%, suggesting that a significant number of pregnant women have E-GDM at the time of conception itself[60]. Hyperglycemia at this stage can impact implantation, decidualization, placental development, and organogenesis. There is a strong need for further basic science research to delineate the biochemical, cytological, immunological, and epigenetic effects of hyperglycemia on early fetal development. The results of the TOBOGM study suggest greater benefits for preventing neonatal respiratory distress syndrome with the initiation of treatment before 14 weeks. Similar randomized controlled trials to assess the benefits of treating mild hyperglycemia in the periconceptual period itself are relevant for improving pregnancy outcomes in high-risk populations. This concept was further strengthened by a United States study linking preconception glycemia to preterm birth[61].

The lack of international consensus to define GDM before 24 GW causes major confusion in clinical practice. As shown in Table 1, many professional bodies, such as American College of Obstetricians and Gynecologists, the WHO, and Canadian Diabetes Association, permit screening for E-GDM with the same criteria used for GDM diagnosis > 24 GW. Currently, the IADPSG has no recommendation for E-GDM diagnosis, whereas the NICE permits E-GDM diagnosis only for women with a GDM history. This NICE recommendation ignores the fact that many primigravida women in high-risk ethnic groups are at high risk of developing E-GDM. The United States Preventive Services Task Force statement that “current evidence is insufficient to assess the balance of benefits and harms of GDM screening before 24 GW” adds to the already existing clinical confusion on E-GDM screening among these high-risk women[62]. More research and an international consensus are urgently needed to develop pregnancy outcome-based E-GDM diagnostic criteria. Following the TOBOGM study, the first IADPSG summit was held in November 2022 in Sydney, Australia[63]. Most delegates agreed on the use of a one-step 75 g OGTT test for E-GDM, preferring the Canadian Diabetes Association criteria over the IADPSG criteria. The TOBOGM Summit highlighted the need to consider resources, costs, and consumer views when applying TOBOGM findings to E-GDM treatment. The relevance of health economic analysis in different populations was stressed at this summit. There is an urgent need for prospective randomized controlled studies to assess the benefits and risks of E-GDM screening and management. A HAPO-like study (without any therapeutic interventions) in different stages of early pregnancy (considering the first and early second trimesters separately) may be valuable for resolving the ongoing controversy. Furthermore, an international consensus on GDM diagnosis will ensure uniformity in clinical care and future research.

There is little guidance from any professional organization regarding a specific gestation period for defining E-GDM. Researchers use different gestational periods ranging from < 20 to < 24 GW as the criteria for categorization into E-GDM and L-GDM groups (Table 2). As the TOBOGM study defined E-GDM as < 20 GW, this time is used in discussions on the benefits of early intervention use. To maintain uniformity in research, it is valuable to have an international consensus on the definition of E-GDM. There are many gaps in our knowledge regarding the pathophysiology of GDM. GDM is considered a heterogeneous condition and may be triggered by factors before pregnancy, can have deleterious effects in all stages of pregnancy, and can impart metabolic and cardiovascular risks to both mothers and offspring throughout their lives. Most of the suggested mechanisms of fetal damage in early pregnancy are speculative and need to be confirmed by further research.

CONCLUSION

This minireview explored the current knowledge of adverse pregnancy outcomes in relation to hyperglycemia at different stages of pregnancy. Many studies (mostly retrospective) have revealed that despite treatment, GDM diagnosed in early pregnancy is associated with a greater risk of adverse neonatal events than GDM diagnosed after 24 GW. The recently published TOBOGM study revealed a modest but significant reduction in neonatal respiratory distress among E-GDM pregnancies having treatment before 20 GW. We strongly recommend further prospective studies to unravel several mysteries related to mild hyperglycemia in different stages of pregnancy. The results will help in designing trimester-specific screening and preventive strategies for GDM.

Footnotes

Provenance and peer review: Invited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Endocrinology and metabolism

Country of origin: India

Peer-review report’s classification

Scientific Quality: Grade B, Grade B, Grade B, Grade C, Grade C

Novelty: Grade C, Grade C, Grade C

Creativity or Innovation: Grade B, Grade C, Grade C

Scientific Significance: Grade B, Grade C, Grade D

P-Reviewer: Aktas G, MD, PhD, Chief Physician, Professor, Türkiye; Cai K, MD, PhD, Researcher, China; Cai L, MD, PhD, Professor, United States; Hwu CM, MD, Professor, Taiwan; Tian N, PhD, Chief Physician, China S-Editor: Wu S L-Editor: A P-Editor: Zheng XM

References
1.  Sweeting A, Hannah W, Backman H, Catalano P, Feghali M, Herman WH, Hivert MF, Immanuel J, Meek C, Oppermann ML, Nolan CJ, Ram U, Schmidt MI, Simmons D, Chivese T, Benhalima K. Epidemiology and management of gestational diabetes. Lancet. 2024;404:175-192.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 77]  [Cited by in RCA: 118]  [Article Influence: 118.0]  [Reference Citation Analysis (0)]
2.  Wang H, Li N, Chivese T, Werfalli M, Sun H, Yuen L, Hoegfeldt CA, Elise Powe C, Immanuel J, Karuranga S, Divakar H, Levitt N, Li C, Simmons D, Yang X; IDF Diabetes Atlas Committee Hyperglycaemia in Pregnancy Special Interest Group. IDF Diabetes Atlas: Estimation of Global and Regional Gestational Diabetes Mellitus Prevalence for 2021 by International Association of Diabetes in Pregnancy Study Group's Criteria. Diabetes Res Clin Pract. 2022;183:109050.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 87]  [Cited by in RCA: 588]  [Article Influence: 196.0]  [Reference Citation Analysis (0)]
3.  Hivert MF, Backman H, Benhalima K, Catalano P, Desoye G, Immanuel J, McKinlay CJD, Meek CL, Nolan CJ, Ram U, Sweeting A, Simmons D, Jawerbaum A. Pathophysiology from preconception, during pregnancy, and beyond. Lancet. 2024;404:158-174.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 34]  [Cited by in RCA: 50]  [Article Influence: 50.0]  [Reference Citation Analysis (0)]
4.  McIntyre HD, Kampmann U, Dalsgaard Clausen T, Laurie J, Ma RCW. Gestational Diabetes: An Update 60 Years After O'Sullivan and Mahan. J Clin Endocrinol Metab. 2024;110:e19-e31.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
5.  American Diabetes Association Professional Practice Committee. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2025. Diabetes Care. 2025;48:S27-S49.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 181]  [Reference Citation Analysis (0)]
6.  Sweeting A, Wong J, Murphy HR, Ross GP. A Clinical Update on Gestational Diabetes Mellitus. Endocr Rev. 2022;43:763-793.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 246]  [Cited by in RCA: 439]  [Article Influence: 146.3]  [Reference Citation Analysis (1)]
7.  Punnose J, Sukhija K, Rijhwani RM. Intermediate hyperglycemia in early pregnancy: A South Asian perspective. World J Diabetes. 2023;14:573-584.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in CrossRef: 3]  [Cited by in RCA: 5]  [Article Influence: 2.5]  [Reference Citation Analysis (0)]
8.  Ye W, Luo C, Huang J, Li C, Liu Z, Liu F. Gestational diabetes mellitus and adverse pregnancy outcomes: systematic review and meta-analysis. BMJ. 2022;377:e067946.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 28]  [Cited by in RCA: 409]  [Article Influence: 136.3]  [Reference Citation Analysis (0)]
9.  García-Patterson A, Balsells M, Solà I, Gich I, Corcoy R. Impact of gestational diabetes mellitus treatment on medium/long-term outcomes after pregnancy: A systematic review and meta-analysis. Diabet Med. 2023;40:e14998.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 10]  [Reference Citation Analysis (0)]
10.  Harrison J, Melov S, Kirby AC, Athayde N, Boghossian A, Cheung W, Inglis E, Maravar K, Padmanabhan S, Luig M, Hook M, Pasupathy D. Pregnancy outcomes in women with gestational diabetes mellitus by models of care: a retrospective cohort study. BMJ Open. 2022;12:e065063.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 1]  [Cited by in RCA: 5]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
11.  O'Sullivan JB. Establishing criteria for gestational diabetes. Diabetes Care. 1980;3:437-439.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 48]  [Cited by in RCA: 41]  [Article Influence: 0.9]  [Reference Citation Analysis (0)]
12.  Carpenter MW, Coustan DR. Criteria for screening tests for gestational diabetes. Am J Obstet Gynecol. 1982;144:768-773.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1292]  [Cited by in RCA: 1346]  [Article Influence: 31.3]  [Reference Citation Analysis (0)]
13.  Classification and diagnosis of diabetes mellitus and other categories of glucose intolerance. National Diabetes Data Group. Diabetes. 1979;28:1039-1057.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4004]  [Cited by in RCA: 3883]  [Article Influence: 84.4]  [Reference Citation Analysis (1)]
14.  International Association of Diabetes and Pregnancy Study Groups Consensus Panel; Metzger BE, Gabbe SG, Persson B, Buchanan TA, Catalano PA, Damm P, Dyer AR, Leiva Ad, Hod M, Kitzmiler JL, Lowe LP, McIntyre HD, Oats JJ, Omori Y, Schmidt MI. International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care. 2010;33:676-682.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2777]  [Cited by in RCA: 3223]  [Article Influence: 214.9]  [Reference Citation Analysis (1)]
15.  McIntyre HD, Sacks DA, Barbour LA, Feig DS, Catalano PM, Damm P, McElduff A. Issues With the Diagnosis and Classification of Hyperglycemia in Early Pregnancy. Diabetes Care. 2016;39:53-54.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 103]  [Cited by in RCA: 137]  [Article Influence: 15.2]  [Reference Citation Analysis (0)]
16.  Diagnostic criteria and classification of hyperglycaemia first detected in pregnancy: a World Health Organization Guideline. Diabetes Res Clin Pract. 2014;103:341-363.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 407]  [Cited by in RCA: 581]  [Article Influence: 52.8]  [Reference Citation Analysis (0)]
17.  ACOG Practice Bulletin No. 190: Gestational Diabetes Mellitus. Obstet Gynecol. 2018;131:e49-e64.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 641]  [Cited by in RCA: 1181]  [Article Influence: 168.7]  [Reference Citation Analysis (0)]
18.  National Institute for Health and Care Excellence  Diabetes in pregnancy: management from preconception to the postnatal period. Feb 25 2015. [cited 5 April 2025]. Available from: https://www.nice.org.uk/guidance/ng3/resources/diabetes-in-pregnancy-management-from-preconception-to-the-postnatal-period-pdf-51038446021.  [PubMed]  [DOI]
19.  Diabetes Canada Clinical Practice Guidelines Expert Committee; Feig DS, Berger H, Donovan L, Godbout A, Kader T, Keely E, Sanghera R. Diabetes and Pregnancy. Can J Diabetes. 2018;42 Suppl 1:S255-S282.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 133]  [Cited by in RCA: 223]  [Article Influence: 31.9]  [Reference Citation Analysis (0)]
20.  Maternal Health Division, Ministry of Health and Family Welfare, Government of India.   Diagnosis & Management of Gestational Diabetes Mellitus Technical Guidelines. Feb 2018. [cited 5 April 2025]. Available from: https://platform.who.int/docs/default-source/mca-documents/policy-documents/operational-guidance/IND-MN-21-02-OPERATIONAL-GUIDANCE-2018-eng-Gestational-Diabetes-Mellitus.pdf.  [PubMed]  [DOI]
21.  Nankervis A, McIntyre HD, Moses R, Ross GP, Callaway L, Porter C, Jeffries W, Boorman C, De Vries B, McElduff A.   ADIPS Consensus Guidelines for the Testing and Diagnosis of Gestational Diabetes Mellitus in Australia. [cited 5 April 2025]. Available from: https://www.adips.org/downloads/ADIPSConsensusGuidelinesGDM-03.05.13VersionACCEPTEDFINAL.pdf.  [PubMed]  [DOI]
22.  Landon MB, Spong CY, Thom E, Carpenter MW, Ramin SM, Casey B, Wapner RJ, Varner MW, Rouse DJ, Thorp JM Jr, Sciscione A, Catalano P, Harper M, Saade G, Lain KY, Sorokin Y, Peaceman AM, Tolosa JE, Anderson GB; Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. A multicenter, randomized trial of treatment for mild gestational diabetes. N Engl J Med. 2009;361:1339-1348.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1568]  [Cited by in RCA: 1495]  [Article Influence: 93.4]  [Reference Citation Analysis (0)]
23.  Crowther CA, Hiller JE, Moss JR, McPhee AJ, Jeffries WS, Robinson JS; Australian Carbohydrate Intolerance Study in Pregnant Women (ACHOIS) Trial Group. Effect of treatment of gestational diabetes mellitus on pregnancy outcomes. N Engl J Med. 2005;352:2477-2486.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2150]  [Cited by in RCA: 2136]  [Article Influence: 106.8]  [Reference Citation Analysis (0)]
24.  Anjana RM, Deepa M, Pradeepa R, Mahanta J, Narain K, Das HK, Adhikari P, Rao PV, Saboo B, Kumar A, Bhansali A, John M, Luaia R, Reang T, Ningombam S, Jampa L, Budnah RO, Elangovan N, Subashini R, Venkatesan U, Unnikrishnan R, Das AK, Madhu SV, Ali MK, Pandey A, Dhaliwal RS, Kaur T, Swaminathan S, Mohan V; ICMR–INDIAB Collaborative Study Group. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR-INDIAB population-based cross-sectional study. Lancet Diabetes Endocrinol. 2017;5:585-596.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 397]  [Cited by in RCA: 475]  [Article Influence: 59.4]  [Reference Citation Analysis (0)]
25.  O'Sullivan JB, Mahan CM. Criteria for the Oral Glucose Tolerance Test in Pregnancy. Diabetes. 1964;13:278-285.  [PubMed]  [DOI]
26.  HAPO Study Cooperative Research Group; Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, Coustan DR, Hadden DR, McCance DR, Hod M, McIntyre HD, Oats JJ, Persson B, Rogers MS, Sacks DA. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med. 2008;358:1991-2002.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 3783]  [Cited by in RCA: 3728]  [Article Influence: 219.3]  [Reference Citation Analysis (0)]
27.  Cheung KW, Au TS, Chan TO, So PL, Wong FC, Seto MTY. Early pregnancy hyperglycaemia among pregnant women with risk factors for gestational diabetes increases the risk of pregnancy complications. Sci Rep. 2024;14:25157.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
28.  Regnault N, Lebreton E, Tang L, Fosse-Edorh S, Barry Y, Olié V, Billionnet C, Weill A, Vambergue A, Cosson E. Maternal and neonatal outcomes according to the timing of diagnosis of hyperglycaemia in pregnancy: a nationwide cross-sectional study of 695,912 deliveries in France in 2018. Diabetologia. 2024;67:516-527.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 9]  [Reference Citation Analysis (0)]
29.  Lowe LP, Metzger BE, Dyer AR, Lowe J, McCance DR, Lappin TR, Trimble ER, Coustan DR, Hadden DR, Hod M, Oats JJ, Persson B; HAPO Study Cooperative Research Group. Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study: associations of maternal A1C and glucose with pregnancy outcomes. Diabetes Care. 2012;35:574-580.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 179]  [Cited by in RCA: 209]  [Article Influence: 16.1]  [Reference Citation Analysis (0)]
30.  Immanuel J, Simmons D. Screening and Treatment for Early-Onset Gestational Diabetes Mellitus: a Systematic Review and Meta-analysis. Curr Diab Rep. 2017;17:115.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 102]  [Cited by in RCA: 158]  [Article Influence: 19.8]  [Reference Citation Analysis (0)]
31.  Feghali MN, Abebe KZ, Comer DM, Caritis S, Catov JM, Scifres CM. Pregnancy outcomes in women with an early diagnosis of gestational diabetes mellitus. Diabetes Res Clin Pract. 2018;138:177-186.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 25]  [Cited by in RCA: 35]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
32.  Shub A, Chee T, Templeton A, Boyce D, McNamara C, Houlihan C, Churilov L, McCarthy EA. Timing of diagnosis of gestational diabetes and pregnancy outcomes: A retrospective cohort. Aust N Z J Obstet Gynaecol. 2019;59:96-101.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 12]  [Cited by in RCA: 13]  [Article Influence: 2.2]  [Reference Citation Analysis (0)]
33.  Punnose J, Malhotra RK, Sukhija K, M RR, Choudhary N, Sharma A, Vij P, Bahl P. Gestational diabetes mellitus in early pregnancy amongst Asian Indian women: Evidence for poor pregnancy outcomes despite treatment. Diabet Med. 2023;40:e14993.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 6]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
34.  Yefet E, Jeda E, Yossef A, Massalha M, Tzur A, Nachum Z. Risk for fetal malformations and unfavorable neonatal outcomes in early-onset gestational diabetes mellitus. J Endocrinol Invest. 2024;47:1181-1190.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
35.  Tirado-Aguilar OA, Martinez-Cruz N, Arce-Sanchez L, Borboa-Olivares H, Reyes-Muñoz E, Espino-Y-Sosa S, Villafan-Bernal JR, Martinez-Portilla RJ, Estrada-Gutierrez G, Uribe-Torres R, Tirado Aguilar RD, Lopez-Torres MF, Ramos-Mendoza C, Camacho-Martinez ZA, Aguilar-Jaimes NY, Torres-Torres J. Earlier detection of gestational diabetes impacts on medication requirements, neonatal and maternal outcomes. Diabetes Obes Metab. 2024;26:3110-3118.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
36.  Riskin-Mashiah S, Younes G, Damti A, Auslender R. First-trimester fasting hyperglycemia and adverse pregnancy outcomes. Diabetes Care. 2009;32:1639-1643.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 165]  [Cited by in RCA: 209]  [Article Influence: 13.1]  [Reference Citation Analysis (0)]
37.  Punnose J, Malhotra RK, Sukhija K, Rijhwani RM, Choudhary N, Sharma A, Vij P, Bahl P. Is HbA1c in the first trimester associated with adverse outcomes among pregnant Asian Indian women without gestational diabetes? J Diabetes Complications. 2022;36:108187.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 13]  [Article Influence: 4.3]  [Reference Citation Analysis (0)]
38.  Wilkie G, Delpapa E, Leftwich H. Early Diagnosis of Prediabetes among Pregnant Women that Develop Gestational Diabetes Mellitus and Its Influence on Perinatal Outcomes. Am J Perinatol. 2024;41:343-348.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
39.  Punnose J, Malhotra RK, Sukhija K, Rijhwani RM, Choudhary N, Sharma A. Despite treatment, HbA1c ≥ 37 mmol/mol in the first trimester is associated with premature delivery among South Asian women with gestational diabetes mellitus: a retrospective cohort study. Arch Gynecol Obstet. 2024;310:863-872.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
40.  Mañé L, Flores-Le Roux JA, Gómez N, Chillarón JJ, Llauradó G, Gortazar L, Payà A, Pedro-Botet J, Benaiges D. Association of first-trimester HbA1c levels with adverse pregnancy outcomes in different ethnic groups. Diabetes Res Clin Pract. 2019;150:202-210.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 17]  [Cited by in RCA: 27]  [Article Influence: 4.5]  [Reference Citation Analysis (0)]
41.  Palatnik A, Mele L, Landon MB, Reddy UM, Ramin SM, Carpenter MW, Wapner RJ, Varner MW, Rouse DJ, Thorp JM Jr, Sciscione A, Catalano P, Saade GR, Caritis SN, Sorokin Y; Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. Timing of treatment initiation for mild gestational diabetes mellitus and perinatal outcomes. Am J Obstet Gynecol. 2015;213:560.e1-560.e8.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 17]  [Cited by in RCA: 22]  [Article Influence: 2.2]  [Reference Citation Analysis (0)]
42.  Hillier TA, Pedula KL, Ogasawara KK, Vesco KK, Oshiro C, Van Marter JL. Impact of earlier gestational diabetes screening for pregnant people with obesity on maternal and perinatal outcomes. J Perinat Med. 2022;50:1036-1044.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 9]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
43.  Simmons D, Immanuel J, Hague WM, Teede H, Nolan CJ, Peek MJ, Flack JR, McLean M, Wong V, Hibbert E, Kautzky-Willer A, Harreiter J, Backman H, Gianatti E, Sweeting A, Mohan V, Enticott J, Cheung NW; TOBOGM Research Group. Treatment of Gestational Diabetes Mellitus Diagnosed Early in Pregnancy. N Engl J Med. 2023;388:2132-2144.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 171]  [Cited by in RCA: 174]  [Article Influence: 87.0]  [Reference Citation Analysis (0)]
44.  Powe CE. One Step Closer to a Definition of Early Gestational Diabetes Mellitus: Secondary Analyses From the Treatment of Booking Gestational Diabetes Mellitus (TOBOGM) Randomized Trial. Diabetes Care. 2024;47:2076-2078.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
45.  Haque MM, Tannous WK, Herman WH, Immanuel J, Hague WM, Teede H, Enticott J, Cheung NW, Hibbert E, Nolan CJ, Peek MJ, Wong VW, Flack JR, Mclean M, Sweeting A, Gianatti E, Kautzky-Willer A, Jürgen Harreiter, Mohan V, Backman H, Simmons D; TOBOGM Consortium. Cost-effectiveness of diagnosis and treatment of early gestational diabetes mellitus: economic evaluation of the TOBOGM study, an international multicenter randomized controlled trial. EClinicalMedicine. 2024;71:102610.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 3]  [Cited by in RCA: 18]  [Article Influence: 18.0]  [Reference Citation Analysis (0)]
46.  Mahmoud E, Elsayed AM, Elsayed B, Elsalakawi Y, Gopinath A, Chivese T. Association between gestational diabetes mellitus diagnostic criteria and adverse pregnancy outcomes-a systematic review and meta-analysis of adjusted effect sizes from studies using current diagnostic criteria. BMJ Open. 2024;14:e091258.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
47.  Wicklow B, Retnakaran R. Gestational Diabetes Mellitus and Its Implications across the Life Span. Diabetes Metab J. 2023;47:333-344.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 41]  [Reference Citation Analysis (1)]
48.  Kokhanov A. Congenital Abnormalities in the Infant of a Diabetic Mother. Neoreviews. 2022;23:e319-e327.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
49.  Mortier I, Blanc J, Tosello B, Gire C, Bretelle F, Carcopino X. Is gestational diabetes an independent risk factor of neonatal severe respiratory distress syndrome after 34 weeks of gestation? A prospective study. Arch Gynecol Obstet. 2017;296:1071-1077.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 23]  [Cited by in RCA: 50]  [Article Influence: 6.3]  [Reference Citation Analysis (0)]
50.  Romero R, Dey SK, Fisher SJ. Preterm labor: one syndrome, many causes. Science. 2014;345:760-765.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1262]  [Cited by in RCA: 1412]  [Article Influence: 128.4]  [Reference Citation Analysis (0)]
51.  Desoye G, Nolan CJ. The fetal glucose steal: an underappreciated phenomenon in diabetic pregnancy. Diabetologia. 2016;59:1089-1094.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 114]  [Cited by in RCA: 137]  [Article Influence: 15.2]  [Reference Citation Analysis (0)]
52.  Rathnayake H, Han L, da Silva Costa F, Paganoti C, Dyer B, Kundur A, Singh I, Holland OJ. Advancement in predictive biomarkers for gestational diabetes mellitus diagnosis and related outcomes: a scoping review. BMJ Open. 2024;14:e089937.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
53.  Dalfrà MG, Burlina S, Del Vescovo GG, Lapolla A. Genetics and Epigenetics: New Insight on Gestational Diabetes Mellitus. Front Endocrinol (Lausanne). 2020;11:602477.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 42]  [Cited by in RCA: 92]  [Article Influence: 18.4]  [Reference Citation Analysis (0)]
54.  Yefet E, Jeda E, Tzur A, Nachum Z. Markers for undiagnosed type 2 diabetes mellitus during pregnancy-A population-based retrospective cohort study. J Diabetes. 2020;12:205-214.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 10]  [Cited by in RCA: 19]  [Article Influence: 3.8]  [Reference Citation Analysis (0)]
55.  Hughes RC, Moore MP, Gullam JE, Mohamed K, Rowan J. An early pregnancy HbA1c ≥5.9% (41 mmol/mol) is optimal for detecting diabetes and identifies women at increased risk of adverse pregnancy outcomes. Diabetes Care. 2014;37:2953-2959.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 140]  [Cited by in RCA: 176]  [Article Influence: 16.0]  [Reference Citation Analysis (0)]
56.  Sweeting AN, Ross GP, Hyett J, Molyneaux L, Constantino M, Harding AJ, Wong J. Gestational Diabetes Mellitus in Early Pregnancy: Evidence for Poor Pregnancy Outcomes Despite Treatment. Diabetes Care. 2016;39:75-81.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 139]  [Cited by in RCA: 175]  [Article Influence: 19.4]  [Reference Citation Analysis (0)]
57.  Lee D, Booth GL, Ray JG, Ling V, Feig DS. Undiagnosed type 2 diabetes during pregnancy is associated with increased perinatal mortality: a large population-based cohort study in Ontario, Canada. Diabet Med. 2020;37:1696-1704.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 9]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
58.  Mills JL, Jovanovic L, Knopp R, Aarons J, Conley M, Park E, Lee YJ, Holmes L, Simpson JL, Metzger B. Physiological reduction in fasting plasma glucose concentration in the first trimester of normal pregnancy: the diabetes in early pregnancy study. Metabolism. 1998;47:1140-1144.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 122]  [Cited by in RCA: 119]  [Article Influence: 4.4]  [Reference Citation Analysis (0)]
59.  Deng Y, Cheng D, Liao G, Tan X, Yang J. Trimester-specific reference intervals for hemoglobin A1c in non-diabetic pregnancy in a Chinese population. BMC Pregnancy Childbirth. 2023;23:671.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
60.  Rooney MR, Fang M, Ogurtsova K, Ozkan B, Echouffo-Tcheugui JB, Boyko EJ, Magliano DJ, Selvin E. Global Prevalence of Prediabetes. Diabetes Care. 2023;46:1388-1394.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 307]  [Cited by in RCA: 250]  [Article Influence: 125.0]  [Reference Citation Analysis (0)]
61.  Delker E, Ramos GA, Bandoli G, LaCoursiere DY, Ferran K, Gallo LC, Oren E, Gahagan S, Allison M. Associations Between Preconception Glycemia and Preterm Birth: The Potential Role of Health Care Access and Utilization. J Womens Health (Larchmt). 2023;32:274-282.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 4]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
62.  US Preventive Services Task Force, Davidson KW, Barry MJ, Mangione CM, Cabana M, Caughey AB, Davis EM, Donahue KE, Doubeni CA, Kubik M, Li L, Ogedegbe G, Pbert L, Silverstein M, Stevermer J, Tseng CW, Wong JB. Screening for Gestational Diabetes: US Preventive Services Task Force Recommendation Statement. JAMA. 2021;326:531-538.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 34]  [Cited by in RCA: 81]  [Article Influence: 20.3]  [Reference Citation Analysis (0)]
63.  Sweeting A, MacMillan F, Simmons D; TOBOGM Summit attendees. The first International Association of Diabetes and Pregnancy Study Groups summit on the diagnosis of gestational diabetes in early pregnancy: TOBOGM Summit Report. Aust N Z J Obstet Gynaecol. 2024;64:519-523.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 5]  [Cited by in RCA: 12]  [Article Influence: 12.0]  [Reference Citation Analysis (0)]