Copyright: ©Author(s) 2026.
World J Cardiol. Jul 26, 2026; 18(7): 120236
Published online Jul 26, 2026. doi: 10.4330/wjc.120236
Published online Jul 26, 2026. doi: 10.4330/wjc.120236
Table 1 Characteristics of the included studies
| Ref. | Design/setting (country) | Sample size | miRNAs | Source | Sample timing | Cases | Controls | Function of miRNA | Main findings | Diagnostic/prognostic values |
| Cardiomyopathy | ||||||||||
| Klenke et al[15], 2018 | PCS (Germany) | 91 | 1 miRNA (hsa-miR-192-5p) | Serum | During routine heart failure clinic check-ups | Patients diagnosed with HF due to ICM (59.3%) | Patients with HF due to non-ICM (40.7%) | Prognosis (p53-responsive prognostic marker involved in cardiomyocyte apoptosis) | High expression of miR-192 was associated with worse survival in ICM (P = 0.003) | Independent prognostic marker (P = 0.014) for survival in ICM; high expression resulted in a 17-year lower median age at death (67 years vs 84 years) |
| Heart failure | ||||||||||
| Shah et al[16], 2018 | PCS (United States) | 2763 | 3 miRNAs (miR-106b-5p, miR-17-5p, miR-20a-5p) | Plasma | Baseline plasma from the eighth Framingham Offspring Cohort examination | Patients without HF | No controls | Prediction of incident HF | Higher circulating levels of miR-17, miR-20a, and miR-106b were associated with a lower risk of incident HF | Among 2681 participants, 116 developed HF during a median follow-up of 7.7 years. MiR-20a: HR = 0.86, P = 0.047; miR-17: HR = 0.84, P = 0.03; miR-106b: HR = 0.85, P = 0.04 |
| Acute coronary syndrome | ||||||||||
| Shen et al[18], 2021 | Prospective nested case-control study (China) | 1190 | 14 miRNAs (miR-4286 significant for ACS) | Plasma | Baseline blood samples were collected in 2013, with a median follow-up of 1.8 years | Incident ACS cases during follow-up | Matched controls free of CVD and cancer at the time of the case event | Prediction of incident ACS risk | Upregulation of miR-4286 was associated with increased risk of incident ACS | Highest tertile vs lowest tertile: OR = 1.80 (95%CI: 1.28-2.53); per IQR increase: OR = 1.26 (95%CI: 1.07-1.48) |
| Pilbrow et al[17], 2014 | PCS (New Zealand) | 300 | 5 miRNAs (miR-323-3p, miR-652, miR-27b, miR-103, and miR-208a) | Plasma | Baseline (approximately 30 days post-ACS), 4 months, and 12 months post-ACS | Patients with recent ACS | Healthy controls matched according to age and gender, where possible | Diagnosis and prognosis | MiR-323-3p, miR-652, and miR-27b were elevated in ACS patients. miR-652 in the lowest tertile was associated with heart failure readmission | MiR-652: AUC = 0.861; miR-323-3p: AUC = 0.806; miR-27b: AUC = 0.799 for ACS discrimination; low baseline miR-652 was associated with HF readmission (log-rank P < 0.001) |
| Biener et al[19], 2022 | PCS (Germany) | 1042 | 11 miRNAs (miR-134-5p, miR-21-5p, miR-191-3p, miR-29a-3p, miR-22-3p, miR-92a-3p, miR-126-3p, miR-122-5p, miR-132-3p, miR-133a-3p, and miR-423-5p) | Plasma | At presentation to the emergency department | Patients presenting with suspected ACS | NR | Prognosis | Higher expression of miR-133a-3p was observed in patients with higher troponin levels at baseline. Higher miR-21-5p and lower miR-122-5p were observed in patients who died during follow-up; higher miR-126-3p was observed in patients with the composite endpoint of all-cause mortality, AMI, and stroke | MiR-21-5p: AUC = 0.659 (95%CI: 0.596-0.723); miR-122-5p: AUC = 0.605 (95%CI: 0.526-0.685) for all-cause mortality; ROC-optimized miR-21-5p cutoff predicted all-cause mortality with HR = 3.3 (P25-P75: 1.2-9.4) |
| Acute myocardial infarction (STEMI and NSTEMI) | ||||||||||
| Eyyupkoca et al[20], 2022 | PCS (Turkey) | 10 (all male) | 8 miRNAs (miR-26b-5p, miR-301a-3p, miR-23b-3p, miR-374a-5p, miR-199a-5p, miR-483-5p, miR-423-5p, and miR-652-3p) | Plasma | Baseline (1 day), 2 weeks, and 6 weeks after AMI | STEMI patients with ALVR | STEMI patients with reverse left ventricular remodeling | Prediction of ALVR | At day 1 after AMI, miR-199a-5p, miR-23b-3p, and miR-483-5p were downregulated, whereas miR-26b-5p and miR-652-3p were upregulated in ALVR; at 2 weeks, miR-374a-5p was downregulated; at 6 weeks, miR-301a-3p and miR-374a-5p were downregulated, whereas miR-423-5p was upregulated in ALVR | ALVR was defined as a ≥ 13% increase in LVEDV and LVESV at 6 months after AMI |
| Cai et al[21], 2024 | Observational study (China) | 100 | 1 miRNA (miR-133) | Plasma | At diagnosis and 24 hours after diagnosis | Patients with AMI | Healthy subjects and unstable angina patients | Diagnosis | MiR-133 levels were upregulated in AMI patients | MiR-133 showed high diagnostic accuracy for AMI (AUC = 0.956; sensitivity = 87.6%; specificity = 94.7%) |
| Grabmaier et al[22], 2017 | CCS (Germany) | 62 | 4 miRNAs (miR-1, miR-21, miR-29b, and miR-92a) | Plasma | Day 4, day 9, and 6 months after AMI | Patients with AMI in the SITAGRAMI trial | Age-, sex- and risk factor-matched controls | Diagnosis and prognosis | MiR-1, miR-21, and miR-29b were increased after AMI; miR-1 and miR-29b were inversely correlated with infarct volume changes, and miR-29b at day 9 inversely correlated with changes in LVEDV at 6 months | MiR-1 and miR-29b inversely correlated with change in infarct volume (P < 0.05), and miR-29b inversely correlated with change in LVEDV (P < 0.05) |
| Wang et al[23], 2011 | CCS (China) | 79 | 2 miRNAs (miR-133 and miR-328) | Plasma | Within 24 hours and at 7 days after AMI | Patients with AMI | Control subjects (CAD excluded by coronary angiography) | Diagnosis | Plasma miR-133 and miR-328 levels were increased in AMI patients (10.9-fold in plasma and 16.1-fold in whole blood) and returned to control levels by 7 days | MiR-133 plasma AUC = 0.890 (95%CI: 0.772-0.965); miR-328 plasma AUC = 0.810 (95%CI: 0.705-0.916) |
| Devaux et al[24], 2015 | Prospective observational study (multicenter) | 1155 | 6 miRNAs (miR-133a, miR-208b, miR-223, miR-320a, miR-451, and miR-499) | Plasma | At presentation with acute chest pain | Patients with AMI | Patients with final diagnoses other than AMI | Diagnosis and prognosis | Levels of miR-208b, miR-499, and miR-320a were higher in AMI; miR-208b levels were higher in patients who died within 30 days | MiR-208b showed the highest diagnostic accuracy for AMI (AUC = 0.76, 95%CI: 0.72-0.80); miR-208b for predicting 30-day mortality (AUC = 0.67, 95%CI: 0.52-0.81) |
| Jakob et al[25], 2017 | Nested case-control study (multicenter) | 189 | 14 miRNAs (miR-26b-5p, miR-320a, and miR-660-5p) | Plasma | At presentation with STEMI | Patients with STEMI who experienced MACE | Patients without MACE during 1-year follow-up | Prognosis | MiR-26b-5p was decreased, whereas miR-320a and miR-660-5p were increased in patients with MACE | MiR-26b-5p AUC = 0.707; miR-660-5p AUC = 0.683; miR-320a AUC = 0.672; combined AUC = 0.718 |
| Matsumoto et al[26], 2013 | CCS (Japan) | 86 | 3 p53-responsive miRNAs (miR-192, miR-194, and miR-34a) | Serum | Median 18 days after AMI onset | Post-AMI patients who developed HF within 1 year | Matched controls without subsequent cardiovascular events | Prognosis | Serum miR-192, miR-194, and miR-34a were upregulated in patients who developed ischemic HF after AMI | MiR-194 and miR-34a correlated with larger left ventricular diastolic dimension at 1 year (r = 0.33, P = 0.01; r = 0.38, P = 0.003) |
| Cortez-Dias et al[27], 2016 | Prospective observational study (Portugal) | 160 | 6 miRNAs (miR-1-3p, miR-122-5p, miR-133a-3p, miR-133b, miR-208b-3p, and miR-499a-5p) | Serum | At the time of cardiac catheterization; additional sampling at 8 hours, 16 hours, 24 hours, 48 hours, and 72 hours in a subset | Patients with STEMI undergoing primary PCI | Healthy controls and non-STEMI controls | Prognosis | A higher miR-122-5p/miR-133b ratio was associated with increased risk of death or recurrent MI and with adverse cardiovascular events after STEMI | HR = 1.49 (95%CI: 1.09-2.03), P = 0.012; patients in the highest tertile of the miR-122-5p/133b ratio had an almost 9-fold higher risk of death or recurrent MI and a 4-fold higher risk of MACE. Multivariable model (miR ratio and LVEF) for all causes mortality: AUC = 0.81 (95%CI: 0.64-0.99) |
| He et al[28], 2014 | CCS (China) | 389 | 2 miRNAs (miR-328, and miR-134) | Plasma | Median 6 hours after symptom onset (range 2-10 hours) | Patients with AMI | Healthy controls | Diagnosis and prognosis | Plasma miR-328 (12.04-fold) and miR-134 (6.32-fold) were elevated in AMI patients; higher levels were associated with increased risk of cardiogenic death or HF within 6 months | Diagnostic AUC: MiR-328, 0.887; miR-134, 0.818. Prognostic OR for cardiogenic death or heart failure within 6 months: MiR-328, 7.35, P = 0.004; miR-134, 2.28, P = 0.013 |
| Bauters et al[29], 2013 | PCS (France) | 246 | 2 miRNAs (miR-423-5p and miR-133a) | Plasma | Days 3-7 after AMI, then at 1 month, 3 month, and 12 months | Patients with first anterior wall Q-wave AMI | NR | Prognosis | Circulating miR-133a increased at 12 months, and miR-423-5p increased at 1 month, 3 months, and 12 months after MI | Neither miRNA was associated with LV function, LV remodeling, or BNP during 1-year follow-up |
| Hromádka et al[30], 2019 | Retrospective cohort study (Czech Republic) | 122 | 3 miRNAs (miR-1, miR-133a, and miR-499) | Plasma | 24 hours after admission | AMI patients who died in 1 year | AMI patients who survived for 1 year | Prognosis | MiR-1, miR-133a, and miR-499 positively correlated with hsTnT, NT-proBNP, and negatively with LVEF; levels were higher in nonsurvivors, but differences were not statistically significant | All nonsurvivors had miR-499 > 0.088 and NT-proBNP > 891.5 ng/L (vs 28.4% of survivors, P = 0.001) |
| Angina | ||||||||||
| Zeller et al[31], 2014 | CCS (Germany and Switzerland) | 246 | 8 miRNAs (miR-19a, miR-19b, miR-132, miR-140-3p, miR-142-5p, miR-150, miR-186, miR-210) | Serum | At admission and 6 hours later | Patients with UA | Non-coronary chest pain patients and healthy controls | Diagnosis | Lower levels of 8 circulating miRNAs were significantly associated with UA; a 3-miRNA panel of miR-132, miR-150, and miR-186 showed the best discriminatory performance | 3-miRNA panel (miR-132, miR-150, miR-186): AUC = 0.91 (95%CI: 0.84-0.98) |
| Simionescu et al[32], 2016 | Cross sectional observational (Romania) | 137 | 6 miRNAs (miR-146a, miR-125a, miR-92a, miR-486, miR-223, and miR-122) | Serum and HDL | Fasting serum samples at enrollment | Patients with stable angina and ACS | Healthy controls | Diagnosis | MiR-223, miR-92a, miR-486, miR-122, miR-125a, and miR-146a were increased in CAD patients; in hyperglycemic ACS, levels were higher than in normoglycemic ACS, especially for miR-223, miR-92a, and miR-486 in HDL | MiR-223, miR-486, and miR-92a discriminated ACS from stable angina |
| Wang et al[33], 2017 | Observational study (various countries) | 199 | 5 miRNAs (hsa-miR-126-5p, hsa-miR-3135b, hsa-miR-28-3p, hsa-miR-142-5p, hsa-miR-144-5p) | Whole blood | Baseline | Patients with non-STEMI and angina | Matched controls without any CVD event | Prognosis | Lower miR-3135b, miR-126-5p, miR-142-5p, and miR-144-5p were associated with HF; higher GRACE risk score was associated with lower miR-3135b and higher miR-28-3p | MiR-126-5p: Fold change 0718, P = 0.003; miR-142-5p: Fold change 0762, P = 0.044; miR-144-5p: Fold change 0816, P = 0.044; miR-3135b: Fold change 0769 with chronic HF (P = 0.044) and 0.994 per 1-SD increase in GRACE score (P = 0.013); miR-28-3p: Fold change 1004 per 1-SD increase in GRACE score (P = 0.019) |
| Zhong et al[34], 2018 | Observational study (China) | 78 | 8 miRNAs with ROC curve for 4 miRNAs (miR-126-5p, miR-17-5p, miR-142-3p, and miR-340-3p) | Plasma | At enrollment | Patients with UA and STEMI | Controls with a normal coronary artery | Diagnosis | MiR-126-5p, miR-142-3p, miR-17-5p, and miR-340-3p were upregulated in UA and STEMI compared with controls | In UA patients, only miR-142-3p achieved a high ability to distinguish from the normal coronary artery patients (AUC = 0.80). In STEMI patients, miR-17-5p and miR-142-3p both had good discriminative ability compared with normal coronary artery patients, with AUCs of 0.84 and 0.85, respectively |
| Coronary artery disease | ||||||||||
| Polyakova et al[35], 2021 | Cross-sectional study (Russia) | 100 | 3 miRNAs (miR-27a, miR-133a, and miR-203) | Serum and atrial myocardium | Before elective cardiac surgery after 12-hour fasting | CAD patients undergoing elective CABG | Patients without CAD undergoing isolated valve surgery | Diagnosis/disease severity | MiR-27a, miR-133a, and miR-203 were higher in CAD than in controls (in serum and atrial myocardium); serum miR-203 correlated with CAD extent and was highest in multivessel disease | Serum miR-203 correlated with SYNTAX score I (r = 0.693, P < 0.001); serum miR-203 > 101 relative expression units predicted multivessel disease (OR = 5.90, 95%CI: 2.34-9.46, P < 0.001) |
| Karakas et al[36], 2017 | PCS (Germany) | 1112 | 8 miRNAs (miR-19a, miR-19b, miR-132, miR-140-3p, miR-142-5p, miR-150, miR-186, and miR-210) | Serum | Baseline, before angiography | Patients with documented CAD (ACS and stable angina) | None | Prognosis | Higher circulating levels of most candidate miRNAs were associated with cardiovascular death, particularly in ACS patients | In ACS patients, miR-132: HR = 2.85 per 1-SD increase, P = 0.022, AUC = 0.737; miR-140-3p: HR = 2.88, P = 0.022, AUC = 0.756; miR-210: HR = 3.10, P = 0.039, AUC = 0.754 |
| de Gonzalo-Calvo et al[37], 2019 | PCS (Spain) | 237 | 10 miRNAs (let-7 g-5p, miR-15b-5p, miR-21-5p, miR-24-3p, miR-29b-3p, miR-130a-3p, miR-143-3p, miR-146a-5p, miR-222-3p, and miR-663a) | Plasma | At nonurgent CCTA evaluation | Patients with suspected stable CAD | None | Diagnosis/disease severity | Lower circulating levels of several miRNAs were associated with greater coronary atherosclerosis extension and severity; miR-143-3p was inversely associated with segment involvement score, and let-7 g-5p, miR-15b-5p, miR-21-5p, miR-24-3p, miR-130a-3p, miR-143-3p, miR-146a-5p, and miR-222-3p were inversely associated with segment stenosis score | Circulating miRNAs had poor discriminative ability for CAD indexes (AUC = 0.539-0.644) |
| Wang et al[38], 2014 | CCS (China) | 181 | 5 miRNAs (miR-487a, miR-29b, miR-502, miR-208, and miR-215) | Serum | After 12-hour overnight fast | Patients with atypical coronary artery disease | Age-matched healthy controls | Diagnosis | Serum miR-487a, miR-502, miR-208, and miR-215 were increased, whereas miR-29b was decreased in atypical coronary artery disease patients compared with controls | The 5 miRNAs were able to distinguish CAD patients from the controls with high discriminative ability. AUC = 0.850 (95%CI: 0.734-0.966) in the training set and 0.909 (95%CI: 0.858-0.960) in the validation set |
| Wang et al[39], 2020 | PCS (China) | 2812 | 5 miRNAs screened; miR-423-3p showed the best predictive performance | Serum | Baseline | General population participants without pre-existing CVD | None | Prediction of primary CAD events | Higher circulating miR-423-3p levels were associated with a lower risk of incident CAD events during 6-year follow-up | MiR-423-3p tertile 2 vs tertile 1 HR = 0.48 (95%CI: 0.27-0.84); tertile 3 vs tertile 1 HR = 0.28 (95%CI: 0.14-0.57); AUC improved from 0.782-0.806 after adding miR-423-3p to traditional risk factors; net reclassification improvement 19.18% |
| Yuan et al[40], 2018 | CCS (China) | 120 | 1 miRNA (miR-18a) | Serum and circulating endothelial cells | At sample collection | Patients with CAD | Healthy controls | Diagnosis/mechanistic association | Levels of miR-18a were upregulated in female CAD patients than in the controls. No significant difference was observed in the levels among male CAD patients. Higher miR-18a was associated with lower HDL-C and estradiol and higher LDL-C, total cholesterol, and triglycerides | In female patients, miR-18a was overexpressed vs controls (P < 0.01); correlations: HDL-C r = -0.772, P < 0.001; LDL-C r = 0.570, P = 0.0075; estradiol r = -0.481, P = 0.001; total cholesterol r = 0.526, P = 0.003; triglycerides r = 0.513, P = 0.004 |
| Opstad et al[41], 2017 | Cross sectional observational (Norway) | 200 | 1 miRNA (miR-21) | Plasma | At study entry in fasting state | Patients with stable CAD who smoke | Patients with stable CAD without a history of smoking | Association | Current smoking was associated with lower circulating miR-21 expression and lower IL-12p35 mRNA expression in stable CAD patients | Adjusted P < 0.05 for lower miR-21 expression in current smokers |
| Iusupova et al[42], 2024 | Cross-sectional observational study (Russia) | 157 | 3 miRNAs (miR-145, miR-34a, and miR-222) | Plasma | At study evaluation | Patients with CAD (obstructive or non-obstructive) presenting with complaints of chest pain and dyspnea | Healthy controls | Diagnosis | MiR-34a and miR-222 were significantly upregulated in CAD patients than in the healthy controls | MiR-145 was an independent predictor of ischemia/angina with non-obstructive coronary artery disease: OR = 2.512 (95%CI: 1.294-4.875, P = 0.006) |
| Stroke | ||||||||||
| Mayer et al[43], 2019 | Prospective cohort study (Czech Republic) | 826 | 5 miRNAs (miR-1, miR-19a, miR-126, miR-133a, and miR-223) | Plasma | Baseline visit, 6-36 months after qualifying vascular event | Patients with stable vascular disease (CAD or post-ischemic stroke) | None | Prognosis | Low expression of miR-1, miR-19a, miR-126, miR-133a, and miR-223 was associated with increased 5-year mortality; low miR-19a remained the strongest independent predictor, particularly in CAD patients | Low miR-19a: HR = 2.27 (95%CI: 1.59-3.23) for 5-year all-cause mortality; in CAD patients, HR = 3.00 (95%CI: 1.77-5.08) |
| Mick et al[44], 2017 | PCS (United States) | 2763 | 6 miRNAs (hsa-miR-877-5p, hsa-miR-124-3p, hsa-miR-320d, hsa-miR-656-3p, hsa-miR-3615, and hsa-miR-941) | Plasma | At exam 8 baseline | Patients with prevalent or incident stroke | None | Diagnosis/prediction | Prevalent stroke was associated with lower expression of hsa-miR-877-5p, hsa-miR-124-3p, and hsa-miR-320d. For incident stroke, hsa-miR-656-3p and hsa-miR-3615 were associated with reduced risk, whereas hsa-miR-941 was associated with increased risk | Prevalent stroke: MiR-877-5p OR = 0.10 (95%CI: 0.05-0.21), miR-124-3p OR = 0.14 (95%CI: 0.05-0.35), miR-320d OR = 0.14 (95%CI: 0.05-0.39); Incident stroke: MiR-656-3p HR = 0.26 (95%CI: 0.13-0.52), miR-3615 HR = 0.36 (95%CI: 0.21-0.62), miR-941 HR = 3.06 (95%CI: 1.65-5.67) |
| Hypertension | ||||||||||
| Yildirim et al[46], 2019 | Cross sectional study (Turkey) | 64 | 1 miRNA (miR-21) | Plasma | At study evaluation after 12-hour fasting | Patients diagnosed with stage 1 HTN | Healthy controls | Diagnosis/association with asymptomatic organ damage | Plasma miR-21 was increased in hypertensive patients and was higher in those with asymptomatic organ damage; miR-21 correlated positively with blood pressure, microalbuminuria, carotid intima-media thickness, and CRP | For asymptomatic organ damage: AUC = 0.898; sensitivity 81.3%; specificity 81.2%, cut-off 44.6 (P < 0.001) |
| Kara et al[47], 2021 | CCS (Turkey) | 82 | 2 miRNAs (miR-21, and miR-155) | Serum | 8-12 hours (at study evaluation) | Patients with resistant hypertension or newly diagnosed hypertension | Healthy controls | Diagnosis/association with resistant hypertension | MiR-21 and aldosterone levels were significantly higher in resistant hypertension, whereas miR-155 did not differ between groups | MiR-21 predicted resistant hypertension at a cut-off of 9.6 copies/μL with 95% sensitivity and 71% specificity (AUC = 0.823, 95%CI: 0.72-0.92) |
| Cardiogenic shock | ||||||||||
| Jäntti et al[10], 2019 | Prospective multinational observational study | 179 | 1 miRNA (miR-423-5p) | Plasma | Baseline | Patients diagnosed with CS | None | Prognosis | Higher baseline miR-423-5p levels were associated with 90-day non-survival and with markers of hypoperfusion, including higher lactate and ALT and lower cardiac index and eGFR | MiR-423-5p above median independently predicted 90-day all-cause mortality: Adjusted HR = 1.9 (95%CI: 1.2-3.2), P = 0.01 |
| Mäntylä et al[45], 2025 | Prospective multicenter observational study | 165 | 10 miRNAs studied; miR-20b-5p showed prognostic significance | Plasma | Baseline | Patients with cardiogenic shock | None | Prognosis | Higher baseline miR-20b-5p levels were associated with in-hospital and 90-day survival; patients with higher miR-20b-5p also had lower lactate, NT-proBNP, and growth differentiation factor-15 | Highest quartile of miR-20b-5p independently predicted 90-day survival: Adjusted HR = 2.47 (95%CI: 1.16-5.28), P = 0.019 |
Table 2 A Newcastle Ottawa scale summarizing the methodological quality of the included studies
| Ref. | Selection | Comparability | Reporting | AHRQ standard |
| Klenke et al[15], 2018 | 3 | 2 | 3 | Good |
| Shah et al[16], 2018 | 3 | 2 | 3 | Good |
| Pilbrow et al[17], 2014 | 3 | 2 | 3 | Good |
| Shen et al[18], 2021 | 3 | 2 | 3 | Good |
| Biener et al[19], 2022 | 3 | 2 | 3 | Good |
| Eyyupkoca et al[20], 2022 | 2 | 1 | 2 | Fair |
| Cai et al[21], 2024 | 3 | 2 | 3 | Good |
| Grabmaier et al[22], 2017 | 3 | 2 | 3 | Good |
| Wang et al[23], 2011 | 3 | 2 | 3 | Good |
| Devaux et al[24], 2015 | 3 | 2 | 3 | Good |
| Jakob et al[25], 2017 | 3 | 2 | 3 | Good |
| Matsumoto et al[26], 2013 | 3 | 2 | 3 | Good |
| Cortez-Dias et al[27], 2016 | 2 | 2 | 3 | Fair |
| He et al[28], 2014 | 3 | 2 | 3 | Good |
| Bauters et al[29], 2013 | 3 | 2 | 3 | Good |
| Hromádka et al[30], 2019 | 3 | 2 | 3 | Good |
| Zeller et al[31], 2014 | 3 | 2 | 3 | Good |
| Simionescu et al[32], 2016 | 3 | 2 | 3 | Good |
| Wang et al[33], 2017 | 3 | 2 | 3 | Good |
| Zhong et al[34], 2018 | 3 | 2 | 3 | Good |
| Polyakova et al[35], 2021 | 3 | 2 | 3 | Good |
| Karakas et al[36], 2017 | 3 | 2 | 3 | Good |
| de Gonzalo-Calvo et al[37], 2019 | 3 | 2 | 3 | Good |
| Wang et al[38], 2014 | 3 | 2 | 3 | Good |
| Wang et al[39], 2020 | 3 | 2 | 3 | Good |
| Yuan et al[40], 2018 | 3 | 2 | 3 | Good |
| Opstad et al[41], 2017 | 3 | 2 | 3 | Good |
| Iusupova et al[42], 2024 | 3 | 2 | 3 | Good |
| Mayer et al[43], 2019 | 3 | 2 | 3 | Good |
| Mick et al[44], 2017 | 3 | 2 | 3 | Good |
| Mäntylä et al[45], 2025 | 3 | 2 | 3 | Good |
| Yildirim et al[46], 2019 | 3 | 2 | 3 | Good |
| Kara et al[47], 2021 | 3 | 2 | 3 | Good |
| Jäntti et al[10], 2019 | 3 | 2 | 3 | Good |
- Citation: Popat A, Sathipati SY, Sharma PP. Circulating microRNAs as biomarkers of cardiovascular disease: A systematic review. World J Cardiol 2026; 18(7): 120236
- URL: https://www.wjgnet.com/1949-8462/full/v18/i7/120236.htm
- DOI: https://dx.doi.org/10.4330/wjc.120236