Non‐alcoholic fatty liver disease in premenopausal women with polycystic ovary syndrome: A systematic review and meta‐analysis
Background and Aim Non‐alcoholic fatty liver disease (NAFLD) and polycystic ovary syndrome (PCOS) are prevalent conditions sharing common pathogenic factors. We performed a systematic literature review and meta‐analysis aiming to investigate the association between NAFLD and PCOS among premenopausal...
Saved in:
Published in | JGH open Vol. 5; no. 4; pp. 434 - 445 |
---|---|
Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Melbourne
Wiley Publishing Asia Pty Ltd
01.04.2021
John Wiley & Sons, Inc Wiley |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Background and Aim
Non‐alcoholic fatty liver disease (NAFLD) and polycystic ovary syndrome (PCOS) are prevalent conditions sharing common pathogenic factors. We performed a systematic literature review and meta‐analysis aiming to investigate the association between NAFLD and PCOS among premenopausal PCOS patients.
Methods
Relevant studies were systematically identified from scientific databases until 2019. We calculated pooled odds ratio (OR) using a random‐effect model, and heterogeneity was addressed through I2. Subgroup analyses and meta‐regression for various covariates were performed.
Results
Of the 1833 studies retrieved, 23 studies with 7148 participants qualified for quantitative synthesis. The pooled result showed that women with PCOS had a 2.5‐fold increase in the risk of NAFLD compared to controls (pooled OR 2.49, 95% confidence interval [CI] 2.20–2.82). In subgroup analyses comparing PCOS to controls, South American/Middle East PCOS patients had a greater risk of NAFLD (OR 3.55, 95% CI 2.27–5.55) compared to their counterpart from Europe (OR 2.22, 95% CI 1.85–2.67) and Asia (OR 2.63, 95% CI 2.20–3.15). Insulin resistance and metabolic syndrome were more frequent in the PCOS group (OR 1.97, 95% CI 1.44–2.71 and OR 3.39, 95% CI 2.42–4.76, respectively). Study quality and body mass index (BMI) were the only covariates that showed a relationship with the outcome in the meta‐regression, with a regression coefficient of −2.219 (95% CI −3.927 to −0.511) and −1.929 (95% CI −3.776 to −0.0826), respectively.
Conclusions
This meta‐analysis indicates that premenopausal PCOS patients are associated with 2.5‐fold increase in the risk of NAFLD, and BMI seems to be the main cofactor.
We performed a systematic literature review and meta‐analysis to investigate the association between NAFLD and PCOS among premenopausal PCOS patients. Of 1833 studies, 23 studies with 7148 participants were included. Women with PCOS had a 2.5‐fold increase in the risk of NAFLD compared to controls (Pooled OR 2.49, 95% CI 2.20‐2.82; I2=55.2%, p=0.001). South American/Middle East populations had a greater risk of NAFLD (OR 3.55, 95% CI 2.27‐5.55). |
---|---|
Bibliography: | Peter Ghali has acted as a consultant for Merck and Gilead. Marc Deschenes has served as an advisory board member for Merck, Janssen, and Gilead. Philip Wong has acted as a consultant for BMS, Gilead, Merck, and Novartis. Giada Sebastiani has acted as a speaker for Merck, Novonordisk, Novartis, Gilead, and AbbVie; served as an advisory board member for Merck, Gilead, Intercept, and Novartis; and has received research funding from Merck and Theratec. All other authors have no conflicts of interest to declare. Declaration of conflict of interest Mohamed Shengir was involved in study concept and design, acquisition of data, interpretation of data, analysis, and drafting of manuscript. Tianyan Chen was involved in study concept, acquisition and interpretation of data, critical revision of manuscript, and overall study supervision. Elena Guadagno created the search strategy and was involved in the revision of manuscript. Ramana V Ramanakumar performed the meta‐analysis and was involved in the revision of manuscript. Peter Ghali, Marc Deschenes, Philip Wong, and Srinivasan Krishnamurthy were involved in study concept and critical revision of manuscript. Giada Sebastiani was involved in study concept and design, acquisition and interpretation of data, analysis and drafting of manuscript, critical revision of manuscript, and overall study supervision. All authors declare that they have participated in the preparation of the manuscript and have seen and approved the final version. Authors contributions ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Declaration of conflict of interest: Peter Ghali has acted as a consultant for Merck and Gilead. Marc Deschenes has served as an advisory board member for Merck, Janssen, and Gilead. Philip Wong has acted as a consultant for BMS, Gilead, Merck, and Novartis. Giada Sebastiani has acted as a speaker for Merck, Novonordisk, Novartis, Gilead, and AbbVie; served as an advisory board member for Merck, Gilead, Intercept, and Novartis; and has received research funding from Merck and Theratec. All other authors have no conflicts of interest to declare. Authors contributions: Mohamed Shengir was involved in study concept and design, acquisition of data, interpretation of data, analysis, and drafting of manuscript. Tianyan Chen was involved in study concept, acquisition and interpretation of data, critical revision of manuscript, and overall study supervision. Elena Guadagno created the search strategy and was involved in the revision of manuscript. Ramana V Ramanakumar performed the meta‐analysis and was involved in the revision of manuscript. Peter Ghali, Marc Deschenes, Philip Wong, and Srinivasan Krishnamurthy were involved in study concept and critical revision of manuscript. Giada Sebastiani was involved in study concept and design, acquisition and interpretation of data, analysis and drafting of manuscript, critical revision of manuscript, and overall study supervision. All authors declare that they have participated in the preparation of the manuscript and have seen and approved the final version. |
ISSN: | 2397-9070 2397-9070 |
DOI: | 10.1002/jgh3.12512 |