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World J Gastroenterol. Dec 7, 2025; 31(45): 113848
Published online Dec 7, 2025. doi: 10.3748/wjg.v31.i45.113848
Prognostic factors for peritoneovenous shunt placement for refractory ascites in liver cirrhosis
Akira Hamaguchi, Junji Ueda, Akira Matsushita, Youich Kawano, Tetsuya Shimizu, Takahiro Murokawa, Takashi Ono, Takahiro Haruna, Daigo Yoshimori, Hiroshi Yoshida, Department of Gastroenterological Surgery, Nippon Medical School, Tokyo 1138603, Japan
Nobuhiko Taniai, Masato Yoshioka, Department of Gastroenterological Surgery, Nippon Medical School Musashi Kosugi Hospital, Kanagawa 2118533, Japan
Satoshi Mizutani, Department of Gastrointestinal Surgery, Nippon Medical School Musashi Kosugi Hospital, Kanagawa 2118533, Japan
Tomohiro Kanda, Hiroyasu Furuki, Department of Gastrointestinal Surgery, Nippon Medical School Tama Nagayama Hospital, Tokyo 2068512, Japan
Hideyuki Takata, Department of Surgery, Nippon Medical School, Tokyo 1138603, Japan
Yuto Aoki, Mampei Kawashima, Toshiyuki Irie, Department of Gastroenterological Surgery, Nippon Medical School Chiba Hokusoh Hospital, Chiba 2701694, Japan
ORCID number: Junji Ueda (0000-0001-6189-0762); Tetsuya Shimizu (0000-0002-5877-9526); Takahiro Murokawa (0009-0009-8565-5973); Hiroshi Yoshida (0000-0002-2463-9023).
Author contributions: Hamaguchi A, Ueda J, and Yoshida H performed the data analysis and completed the manuscript writing; Taniai N, Yoshioka M, Matsushita A, Mizutani S, Kawano Y, Shimizu T, Kanda T, Murokawa T, Takata H, Furuki H, Aoki Y, Kawashima M, Irie T, Ohno T, Haruna T, and Yoshimori D contributed to the manuscript revision of all subsequent versions; all authors contributed to the study conception and design, and have read and approved the final version to be published.
Institutional review board statement: This study was approved by the Ethics Committee of Nippon Medical School Hospital, No. M-2024-190.
Informed consent statement: All the patients provide consent for treatment.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Data sharing statement: The datasets used and analyzed during the current study are available from the corresponding author upon reasonable request.
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: Junji Ueda, MD, PhD, Department of Gastroenterological Surgery, Nippon Medical School, 5-1, Sendagi Bunkyo-ku, Tokyo 1138603, Japan. junji0821@nms.ac.jp
Received: September 5, 2025
Revised: September 22, 2025
Accepted: October 29, 2025
Published online: December 7, 2025
Processing time: 90 Days and 0.1 Hours

Abstract
BACKGROUND

Refractory ascites severely impairs quality of life in patients with liver cirrhosis (LC) and cancer-related peritonitis. For individuals who are intolerant to medical therapy and require frequent large-volume paracentesis, a peritoneovenous shunt (PVS) offers a potential treatment option. However, PVS placement is associated with high complication rates, perioperative mortality, and lacks well-defined indications.

AIM

To identify prognostic factors for PVS placement and develop a novel postoperative survival scoring model for LC with refractory ascites.

METHODS

A total of 100 patients who underwent PVS placement for refractory ascites due to LC in our department between 1998 and 2024 were analyzed. Patients were stratified into two groups: Those who survived more than 180 days after PVS placement (L-group) and those who survived for less than 180 days (S-group). Prognostic factors were compared between groups, and four variables (sex, age, Child-Pugh score, and liver volume) were selected for the creation of a new scoring system.

RESULTS

Significant differences between the S- and L-groups were observed for age, sex, Child-Pugh score and preoperative liver volume. Based on these variables, we developed a scoring system as follows: 1 point each for age ≥ 60 years, Child-Pugh score ≥ 10, female sex, and preoperative liver volume < 1057 mL. Patients scoring 0-2 points were classified as PVS grade A, and those scoring 3-4 points as PVS grade B. Survival analysis showed that overall survival was significantly higher in PVS grade A compared with PVS grade B. Multivariate analysis confirmed PVS grade as an independent prognostic factor.

CONCLUSION

The proposed PVS scoring system may be a useful tool for predicting postoperative prognosis following PVS placement in patients with LC and refractory ascites.

Key Words: Peritoneovenous shunt; Liver cirrhosis; Refractory ascites; Prognostic factor; Scoring system

Core Tip: This study culminated in the proposal of a novel scoring system to predict prognosis after peritoneovenous shunt placement for refractory ascites in patients with liver cirrhosis. In an analysis of 100 cases, four prognostic factors were identified: Age ≥ 60 years; Child-Pugh score ≥ 10; female sex; and liver volume < 1057 mL. Patients were stratified into peritoneovenous shunt grade A (0-2 points) and grade B (3-4 points), with significantly better survival observed in grade A. This scoring system may support clinical decision-making and improve patient outcomes.



INTRODUCTION

Refractory ascites is a serious complication of liver cirrhosis (LC), associated with impaired quality of life and poor prognosis[1]. Patients experience daily activity limitations and significant distress from abdominal distension. Ascites develops through multiple interrelated mechanisms involving visceral and systemic hemodynamics, as well as dysfunction of the liver, kidneys, and heart[2]. Vasodilation leads to reduced effective circulating volume, decreased renal blood flow, and activation of the renin-angiotensin system, further promoting sodium and water retention and ascites formation[3].

Current treatment options include large-volume paracentesis, transjugular intrahepatic portosystemic shunt (commonly known as TIPS), automated low-flow ascites pump (Alfapump®; Sequana Medical, Zürich, Switzerland) and peritoneovenous shunt (PVS)[4]. The PVS (LeVeen or Denver), introduced in the 1970s, diverts ascitic fluid into the central venous system based on the peritoneal-venous pressure gradient[3,5]. While PVSs can provide permanent symptomatic relief and preserve patient lifestyle, they carry substantial risks, including disseminated intravascular coagulation, sepsis, and heart failure[6-8].

Although PVS is primarily a palliative intervention, careful patient selection is essential given its high complication rate. Notably, PVS placement has been reported to mitigate sarcopenia in patients with refractory ascites[9], and early intervention may improve outcomes and quality of life. Thus, patient selection remains the most critical step in management. However, no standardized criteria nor guidelines currently exist. The aim of this study was to identify prognostic indicators from perioperative data and to establish a preoperative model for predicting prognosis after PVS placement.

MATERIALS AND METHODS
Patients

Between 1998 and 2024, 100 patients underwent PVS placement for refractory ascites due to LC at our institution. Patients who died within 180 days after PVS placement were classified into the short-term survival group (S-group), while those who survived longer were classified into the long-term survival group (L-group). Prognostic factors, including liver volume, were compared between the groups. Based on prior literature[4], clinical relevance, and dataset availability, the four variables of sex, age, Child-Pugh score, and liver volume were selected as prognostic factors. Cutoff values for each variable were determined by receiver operating characteristic analysis. Using these factors, we developed a scoring system and stratified patients into two categories: PVS grade A (low score) and PVS grade B (high score). Long-term survival and multivariate analyses were performed to assess prognostic validity. Concomitant hepatocellular carcinoma was present in 43 patients (43%). No cases were excluded from PVS placement on the basis of malignant tumors. Data collection and analysis adhered to institutional guidelines and the ethical standards of the Declaration of Helsinki. Ethical approval was obtained from the Nippon Medical School Hospital Ethics Committee[10].

Imaging and volume measurements

Liver and spleen volumes before and after PVS placement were measured using the SyNAPSE VINCENT analyzer (Fujifilm Medical Co., Tokyo, Japan)[11,12]. Plain or delayed-phase computed tomography images reconstructed at 5-mm intervals were analyzed. Images were imported into the analyzer, the liver region was delineated automatically or manually, and volumes were calculated.

Indication for PVS placement

At our institution, the indication for PVS placement is ascites refractory to medical therapy, including diuretics and albumin, requiring repeated abdominal paracentesis. The primary contraindication is bacterial peritonitis, defined by the presence of endotoxin or bacteria in ascitic fluid, or an ascitic white blood cell count ≥ 500/μL. Patients with concurrent heart failure, pulmonary edema, markedly impaired liver function (Child-Pugh score ≥ 14), severe renal dysfunction, or poor performance status (≥ 2) were considered high risk and required caution (Table 1). Within this cohort, 1 patient had a Child-Pugh score of 14 and 3 had severe renal dysfunction requiring dialysis. No cases of heart failure, pulmonary edema, nor poor performance status were observed.

Table 1 Indications for peritoneovenous shunt placement.
Indication for PVS placement
Ascites refractory to medical treatment
Multiple CART or multiple abdominal paracenteses performed
Contraindication
Presence of bacterial peritonitis
Positive findings of endotoxin and bacteria in ascitic fluid
White blood cell counts in ascitic fluid of 500/μL or higher
Patients requiring caution
Patients with concurrent heart failure or pulmonary edema
Patients with significantly impaired liver function (Child-Pugh score of 14 or higher)
Patients with severe renal dysfunction
PS 2 or higher
PVS placement

All procedures were performed under local anesthesia using 1% lidocaine, using equipment supplied in the PVS placement kit (BD, Franklin Lakes, NJ, United States). Abdominal ultrasonography was first performed to evaluate ascites and confirm a safe paracentesis site. Under real-time ultrasound guidance, the right internal jugular vein was accessed with a 21-gauge needle and micropuncture set, and a 0.035-inch guidewire was advanced into the superior vena cava. Separately, an 18-gauge needle was inserted into the peritoneal cavity under ultrasound guidance, and a 0.035-inch guidewire was advanced. The peritoneal limb of the PVS was then introduced via a 16-F peel-away sheath into the peritoneal cavity and connected to wall suction, allowing drainage of 1-2 L of ascites.

A pump pocket was created over the lower ribs by blunt dissection, and the pump was placed within the pump pocket. The peritoneal portion of the shunt was tunneled subcutaneously to the peritoneal access site, while the jugular portion was tunneled to the venous access site. The pump chamber was manually pumped until fluid flowed freely through the venous limb. Finally, a 12-F or 16-F peel-away sheath was introduced into the jugular vein over the guidewire, and the jugular limb of the shunt was advanced, with its tip positioned in the mid-right atrium.

Statistical analysis

Quantitative data are expressed as mean ± SD. Comparisons between two groups were performed using Student’s t-test, while multiple group comparisons were analyzed with one-way ANOVA. Correlations between categorical variables were assessed using the χ2 test or Fisher’s exact test, as appropriate. Cumulative recurrence-free survival rate was estimated by the Kaplan-Meier method, and differences in overall survival were evaluated using the generalized log-rank test. Multivariate analysis was conducted with a Cox proportional hazards regression model to assess the combined effects of prognostic factors. A P value < 0.05 was considered statistically significant. Statistical analysis was performed in SPSS software (IBM Corp., Armonk, NY, United States). For comparisons between the S-group and L-group, a Student’s t-test was used for continuous variables, including age, Child-Pugh score, albumin-bilirubin (commonly known as ALBI) score, platelet count, operation time, postoperative hospital stay, liver volume, and spleen volume. For categorical variables such as sex, Child-Pugh classification, and morbidity, Fisher’s exact test was applied.

RESULTS
Patient groups

The clinical characteristics of the study participants are summarized in Table 2. The mean age was 65.5 years, and the median survival time was 227 days. The 30-day mortality rate was 9%, and overall morbidity was high. Postoperative complications included 4 cases of liver failure and 2 cases of hemorrhage. Morbidity was defined as Clavien-Dindo grade III or higher. For analysis, the disease severity index (commonly known as DSI) and hepatic reserve were substituted with the albumin-bilirubin score and Child-Pugh score, respectively. Portal-systemic shunting was replaced by spleen volume and platelet count. Shunt dysfunction occurred in 6 patients (6%), including 4 cases of occlusion (3 requiring reinsertion) and 2 cases of infection necessitating shunt removal. Patients who died within 180 days of PVS placement (S-group) numbered 43, and those who survived longer (L-group) numbered 57.

Table 2 Patient summary, mean ± SD.
Characteristic
Finding
Age65.5 ± 10.1
Female/male69/31
Etiology of HBV/HCV/alcohol/MASLD/others41/7/32/9/11
Child-Pugh classification of A/B/C0/59/41
Child-Pugh score9.41 ± 1.46
ALBI score-1.19 ± 0.53
Platelet as 103/μL109 ± 52.7
Operation time in minutes83.5 ± 23.7
Morbidity, +/-15/85
Post operative hospital stay in days24.6 ± 28.4
Liver volume in mL1024 ± 324
Spleen volume in mL344 ± 182
Scoring system

A comparison of the S- and L- groups is presented in Table 3. Patients in the S-group were more often female, with higher mean age and Child-Pugh scores than those in the L-group (P = 0.001). Preoperative liver volume was significantly greater in the L-group than in the S-group (P = 0.004). Based on these findings, we developed a new scoring system. Cutoff values for age, Child-Pugh score, and liver volume were determined by receiver operating characteristic analysis: Age, 60 years (sensitivity 0.837, specificity 0.451); Child-Pugh score, 9.0 (sensitivity 0.551, specificity 0.725); and liver volume, 1057 mL (sensitivity 0.621, specificity 0.771) (Figure 1). The scoring system was defined as 1 point each for age ≥ 60 years, Child-Pugh score ≥ 10, female sex, and preoperative liver volume < 1057 mL. Total scores of 0-2 points were classified as PVS grade A, and scores of 3-4 points as PVS grade B (Table 4).

Figure 1
Figure 1 Receiver operating characteristic analysis. A: Age [cutoff value: 60, sensitivity: 0.837, specificity: 0.451, area under the curve (AUC): 0.676]; B: Child-Pugh score (cutoff value: 9, sensitivity: 0.551, specificity: 0.725, AUC: 0.694); C: Liver volume (cutoff value: 1057, sensitivity: 0.621, specificity: 0.771, AUC: 0.692).
Table 3 Comparison of the S-group and L-group, mean ± SD.
Variable
S-group1, n = 43
L-group2, n = 57
P value
Age69.3 ± 9.1162.6 ± 10.10.001
Female/male26/1743/140.083
Child-Pugh classification A/B/C0/18/250/41/160.004
Child-Pugh score10.1 ± 1.658.93 ± 1.100.001
ALBI score-1.30 ± 0.45-1.58 ± 0.550.009
Platelet as 103/μL117 ± 63.2133 ± 64.30.231
Operation time in minute86.1 ± 32.281.8 ± 16.20.472
Morbidity960.243
Post operative hospital stay in days28.1 ± 28.424.3 ± 29.00.575
Liver volume in mL897 ± 2111129 ± 3680.004
Spleen volume in mL396 ± 207378 ± 2620.773
Table 4 Peritoneovenous shunt grade.
Variable
Point assigned
Parameter01
Age≤ 60> 60
SexMaleFemale
Child-Pugh score5-910-15
Liver volume in mL> 1057≤ 1057
Grade
A0-2
B3-4
Overall survival rate, multivariate analysis

Evaluation of the scoring system in this cohort demonstrated that overall survival was significantly higher in grade A patients compared with grade B patients (P = 0.001) (Figure 2). In multivariate analysis, PVS grade was identified as an independent prognostic factor (Table 5).

Figure 2
Figure 2 Overall survival. The overall survival rate was significantly higher in grade A patients than in grade B patients.
Table 5 Multivariate analysis.
Variable
Hazard ratio
95%CI
P value
Age1.047 1.005-1.0900.027
Sex0.3740.165-0.8660.022
Child-Pugh score1.2861.016-1.6260.036
Liver volume1.0010.999-1.0020.264
PVS grade0.2920.103-0.8280.021
DISCUSSION

We evaluated prognostic factors for PVS placement and developed a new scoring system to aid in patient selection. Although PVS can provide effective symptomatic relief for refractory ascites, it is associated with high mortality and morbidity. A meta-analysis reported 12- and 48-month mortality rates of 44% and 55%, respectively[4], whereas in our cohort the corresponding rates were 52% and 54%, respectively. Reported complications included disseminated intravascular coagulation in approximately 6% of patients and infections in up to 15%[4].

In our study, patients who survived more than 180 days after PVS placement were defined as the long-term survival group (L-group). This cutoff was chosen because the median survival time in our cohort was 227 days. Given the high risks associated with PVS, we believe the procedure should be offered primarily to patients with an anticipated long-term survival. Our scoring system helps identify such patients, as those classified as PVS grade A were more likely to survive beyond 180 days following PVS placement. This model may therefore assist clinicians in selecting appropriate candidates and optimizing outcomes. We compared several parameters between the S- and L-groups and found that age, sex, Child-Pugh score, and liver volume differed significantly. Using these factors, we developed a new prognostic scoring system. In our study, advanced age and female sex emerged as risk factors for poor perioperative recovery after PVS placement.

Aging is known to exacerbate chronic liver disease[13]. The prevalence and severity of many liver disorders, including cirrhosis and hepatocellular carcinoma, increase with age, and the concept of “age-related liver disease” has been introduced to encompass a spectrum of disorders, such as metabolic dysfunction-associated steatotic liver disease (MASLD), alcoholic liver disease, viral hepatitis, fibrosis, and cirrhosis[14].

Sex-related differences in liver health and disease are also well-established. For example, MASLD is influenced by obesity, insulin resistance, hyperlipidemia, and sex-related factors[15]. Recent studies have highlighted sex disparities in MASLD development, underscoring the need to better understand sex-specific responses to liver injury[16,17]. Notably, MASLD in women has been associated with increased overall mortality, as well as higher risk of death from cancer, cardiovascular disease, and liver disease[18]. Similarly, female sex is a recognized factor for the progression of alcohol-related disease[19]. Women are more vulnerable to alcohol-related liver injury due to differences in alcohol metabolism, including lower gastric alcohol dehydrogenase activity and altered enzymatic pathways which lead to higher concentrations of acetaldehyde and other hepatotoxic metabolites[20]. In addition, smaller body size, lower lean body mass, and higher fat content contribute to higher systemic alcohol concentrations in women compared with men. These biological differences may partly explain why female sex was associated with poorer outcomes following PVS placement in our study.

Liver volume was also identified as a prognostic factor in our study. Previous reports have shown that computed tomography can help detect features associated with cirrhosis-related complications[21]. Several studies have demonstrated that platelet count, together with total liver volume, right liver volume and spleen volume, correlates with Child-Pugh classification and the presence of esophageal varices[22-26]. Lee et al[27] further reported that a greater rate of liver volume reduction was significantly associated with an increased risk of decompensation events in patients with LC. Similarly, Hagan et al[28] identified low liver volume as a prognostic predictor for both transplantation and mortality. Spleen size has also been linked to disease etiology, with splenomegaly observed more frequently in patients with post-hepatitis cirrhosis than in those with alcoholic cirrhosis[26]. In our cohort, we examined splenic volume in patients with LC but found no statistically significant relationship between spleen size and prognosis after PVS placement.

We developed a new scoring system using these prognostic parameters and stratified patients into two groups: Grade A and grade B. We recommend PVS placement for grade A patients, who are more likely to survive beyond 180 days after the procedure. However, we do not regard grade B status as a strict contraindication. Given the palliative role of PVS, patients in the grade B group may still derive meaningful symptomatic benefit, such as relief of abdominal distension and reduced need for repeated paracentesis, even though their life expectancy is typically shorter than 180 days.

Despite the significant findings of this study, several limitations should be acknowledged. First, this was a single-center analysis with a relatively small sample size, which may limit the generalizability of the results. Second, the extended enrollment period (1998-2024) introduces potential heterogeneity, as advances in patient management, surgical techniques, and supportive care over time may have influenced outcomes. To enhance external validity, future studies should include larger, more diverse populations and be conducted prospectively across multiple centers.

CONCLUSION

This study identified key prognostic factors for PVS placement and introduced a novel classification system based on age, sex, Child-Pugh classification, and liver volume. Patients were stratified into grade A and grade B, with this grading system serving as a useful indicator for predicting prognosis after PVS placement.

Footnotes

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

Peer-review model: Single blind

Specialty type: Gastroenterology and hepatology

Country of origin: Japan

Peer-review report’s classification

Scientific Quality: Grade B, Grade B

Novelty: Grade B, Grade B

Creativity or Innovation: Grade B, Grade B

Scientific Significance: Grade B, Grade B

P-Reviewer: Sato T, MD, PhD, Associate Professor, Japan; Yang F, Professor, China S-Editor: Wu S L-Editor: A P-Editor: Wang WB

References
1.  Fortea J, Alvarado-Tapias E, Simbrunner B, Ezcurra I, Hernández-Gea V, Aracil CF, Herrera EL, Puente A, Roig C, Reiberger T, García-Pagán JC, Calleja Panero JL, Mandorfer M, Villanueva C, Crespo J. LBP-016 Carvedilol versus propranolol in the prevention of decompensation and mortality in patients with compensated and decompensated cirrhosis. J Hepatol. 2024;80:S85.  [PubMed]  [DOI]  [Full Text]
2.  Bernardi M, Moreau R, Angeli P, Schnabl B, Arroyo V. Mechanisms of decompensation and organ failure in cirrhosis: From peripheral arterial vasodilation to systemic inflammation hypothesis. J Hepatol. 2015;63:1272-1284.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 347]  [Cited by in RCA: 442]  [Article Influence: 44.2]  [Reference Citation Analysis (0)]
3.  Yang JX, Peng YM, Zeng HT, Lin XM, Xu ZL. Drainage of ascites in cirrhosis. World J Hepatol. 2024;16:1245-1257.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
4.  Will V, Rodrigues SG, Berzigotti A. Current treatment options of refractory ascites in liver cirrhosis - A systematic review and meta-analysis. Dig Liver Dis. 2022;54:1007-1014.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 19]  [Article Influence: 6.3]  [Reference Citation Analysis (0)]
5.  LeVeen HH. The LeVeen shunt. Annu Rev Med. 1985;36:453-469.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 9]  [Cited by in RCA: 8]  [Article Influence: 0.2]  [Reference Citation Analysis (0)]
6.  Koyama S, Nogami A, Yoneda M, Cheng S, Koike Y, Takeuchi Y, Iwaki M, Kobayashi T, Saito S, Utsunomiya D, Nakajima A. Chronological Course and Clinical Features after Denver Peritoneovenous Shunt Placement in Decompensated Liver Cirrhosis. Tomography. 2024;10:471-479.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2]  [Cited by in RCA: 3]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
7.  Fukui H, Kawaratani H, Kaji K, Takaya H, Yoshiji H. Management of refractory cirrhotic ascites: challenges and solutions. Hepat Med. 2018;10:55-71.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 10]  [Cited by in RCA: 25]  [Article Influence: 3.6]  [Reference Citation Analysis (0)]
8.  White MA, Agle SC, Padia RK, Zervos EE. Denver peritoneovenous shunts for the management of malignant ascites: a review of the literature in the post LeVeen Era. Am Surg. 2011;77:1070-1075.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 28]  [Cited by in RCA: 29]  [Article Influence: 2.1]  [Reference Citation Analysis (0)]
9.  Currie BM, Bakhtiar M, Nadolski GJ, Soulen MC. Mitigation of Sarcopenia after Peritoneovenous Shunt Placement in Patients with Refractory Ascites. J Vasc Interv Radiol. 2023;34:633-638.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
10.  Otsuka T, Matsuyama K. Nippon Medical School's Ethical Review Processes for Studies Involving Human Subjects. J Nippon Med Sch. 2024;91:136-139.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 15]  [Reference Citation Analysis (0)]
11.  Ueda J, Mamada Y, Taniai N, Yoshioka M, Matsushita A, Mizutani S, Kawano Y, Shimizu T, Kanda T, Takata H, Furuki H, Aoki Y, Kawashima M, Irie T, Ohno T, Haruna T, Yoshida H. Distribution of Splenic Arterial Flow and Segmental Spleen Volume for Partial Splenic Arterial Embolization. J Nippon Med Sch. 2024;91:83-87.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
12.  Yoshida H, Makino H, Yokoyama T, Maruyama H, Hirakata A, Ueda J, Mamada Y, Taniai N, Uchida E. Preoperative liver functional volumetry performed by 3D-99mTc-GSA scintigraphy/vascular fusion imaging using SYNAPSE VINCENT: a preliminary study. Hepatoma Res. 2016;2:187.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 3]  [Article Influence: 0.3]  [Reference Citation Analysis (0)]
13.  Maeso-Díaz R, Gracia-Sancho J. Aging and Chronic Liver Disease. Semin Liver Dis. 2020;40:373-384.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 6]  [Cited by in RCA: 34]  [Article Influence: 6.8]  [Reference Citation Analysis (0)]
14.  Georgieva M, Xenodochidis C, Krasteva N. Old age as a risk factor for liver diseases: Modern therapeutic approaches. Exp Gerontol. 2023;184:112334.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 21]  [Reference Citation Analysis (0)]
15.  Younossi Z, Anstee QM, Marietti M, Hardy T, Henry L, Eslam M, George J, Bugianesi E. Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol. 2018;15:11-20.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4054]  [Cited by in RCA: 3921]  [Article Influence: 560.1]  [Reference Citation Analysis (2)]
16.  Yang JD, Abdelmalek MF, Pang H, Guy CD, Smith AD, Diehl AM, Suzuki A. Gender and menopause impact severity of fibrosis among patients with nonalcoholic steatohepatitis. Hepatology. 2014;59:1406-1414.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 195]  [Cited by in RCA: 285]  [Article Influence: 25.9]  [Reference Citation Analysis (0)]
17.  Xin G, Qin S, Wang S, Wang X, Zhang Y, Wang J. Sex hormone affects the severity of non-alcoholic steatohepatitis through the MyD88-dependent IL-6 signaling pathway. Exp Biol Med (Maywood). 2015;240:1279-1286.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 20]  [Cited by in RCA: 23]  [Article Influence: 2.3]  [Reference Citation Analysis (0)]
18.  Hwang YC, Ahn HY, Park SW, Park CY. Nonalcoholic Fatty Liver Disease Associates With Increased Overall Mortality and Death From Cancer, Cardiovascular Disease, and Liver Disease in Women but Not Men. Clin Gastroenterol Hepatol. 2018;16:1131-1137.e5.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 29]  [Cited by in RCA: 46]  [Article Influence: 6.6]  [Reference Citation Analysis (0)]
19.  Singal AK, Mathurin P. Diagnosis and Treatment of Alcohol-Associated Liver Disease: A Review. JAMA. 2021;326:165-176.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 73]  [Cited by in RCA: 247]  [Article Influence: 61.8]  [Reference Citation Analysis (0)]
20.  Bizzaro D, Becchetti C, Trapani S, Lavezzo B, Zanetto A, D'Arcangelo F, Merli M, Lapenna L, Invernizzi F, Taliani G, Burra P; AISF Special Interest Group on Gender in Hepatology. Influence of sex in alcohol-related liver disease: Pre-clinical and clinical settings. United European Gastroenterol J. 2023;11:218-227.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2]  [Cited by in RCA: 32]  [Article Influence: 16.0]  [Reference Citation Analysis (0)]
21.  Patel M, Tann M, Liangpunsakul S. CT-scan Based Liver and Spleen Volume Measurement as a Prognostic Indicator for Patients with Cirrhosis. Am J Med Sci. 2021;362:252-259.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 14]  [Reference Citation Analysis (0)]
22.  Chen XL, Chen TW, Zhang XM, Li ZL, Zeng NL, Li T, Wang D, Li J, Fang ZJ, Li H, Chen J, Liu J, Xu GH, Ren J, Wu JL, Li CP. Quantitative assessment of the presence and severity of cirrhosis in patients with hepatitis B using right liver lobe volume and spleen size measured at magnetic resonance imaging. PLoS One. 2014;9:e89973.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 17]  [Cited by in RCA: 20]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
23.  Li WX, Zhao XT, Chai WM, Zhu NY, DU LJ, Huang W, Ling HW, Chen KM, Xie Q. Hepatitis B virus-induced liver fibrosis and cirrhosis: the value of liver and spleen volumetry with multi-detector spiral computed tomography. J Dig Dis. 2010;11:215-223.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 9]  [Cited by in RCA: 19]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]
24.  Chen XL, Chen TW, Zhang XM, Li ZL, Zeng NL, Zhou P, Li H, Ren J, Xu GH, Hu JN. Platelet count combined with right liver volume and spleen volume measured by magnetic resonance imaging for identifying cirrhosis and esophageal varices. World J Gastroenterol. 2015;21:10184-10191.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in CrossRef: 18]  [Cited by in RCA: 17]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
25.  Patel M, Puangsricharoen P, Arshad HMS, Garrison S, Techasatian W, Ghabril M, Sandrasegaran K, Liangpunsakul S, Tann M. Does providing routine liver volume assessment add value when performing CT surveillance in cirrhotic patients? Abdom Radiol (NY). 2019;44:3263-3272.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 8]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]
26.  Yoshida H, Shimizu T, Yoshioka M, Matsushita A, Kawano Y, Ueda J, Kawashima M, Taniai N, Mamada Y. The Role of the Spleen in Portal Hypertension. J Nippon Med Sch. 2023;90:20-25.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 14]  [Reference Citation Analysis (0)]
27.  Lee S, Choi J, Park JH, Lim CY, Yang E, Yoon SM, Jung J. Dynamic liver volume change in predicting hepatic decompensation and long-term effects of stereotactic body radiation therapy. J Gastroenterol Hepatol. 2024;39:1648-1655.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
28.  Hagan MT, Sayuk GS, Lisker-Melman M, Korenblat KM, Kerr TA, Chapman WC, Crippin JS. Liver volume in the cirrhotic patient: does size matter? Dig Dis Sci. 2014;59:886-891.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 10]  [Cited by in RCA: 19]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]