Evidence map›Paper›PMID 40108499›Full record

SynthesisBMC infectious diseases2025

The prevalence of nonalcoholic fatty liver disease in people living with HIV: a systematic review and meta-analysis.

Jiaqi Wei, Wei Hui, Yuan Fang, Han Jia, Yu Yang, Tong Zhang, Hao Wu, Bin Su, Taiyi Jiang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Older people living with HIV: a population with high prevalence and severity of metabolic dysfunction-associated steatotic liver disease ‒ A cross-sectional study.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jiaqi Wei *Beijing Key Laboratory for HIV/AIDS Research, Sino-French Joint Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Wei Hui *Beijing Youan Hospital, Telemedicine and Connected Health Center, Capital Medical University, Beijing, 100069, China.
Yuan Fang *Beijing Key Laboratory for HIV/AIDS Research, Sino-French Joint Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Han JiaBeijing Key Laboratory for HIV/AIDS Research, Sino-French Joint Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Yu YangBeijing Key Laboratory for HIV/AIDS Research, Sino-French Joint Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Tong ZhangBeijing Key Laboratory for HIV/AIDS Research, Sino-French Joint Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Hao WuBeijing Key Laboratory for HIV/AIDS Research, Sino-French Joint Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Bin SuBeijing Key Laboratory for HIV/AIDS Research, Sino-French Joint Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China. binsu@ccmu.edu.cn.
Taiyi JiangBeijing Key Laboratory for HIV/AIDS Research, Sino-French Joint Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China. jtyii2004@126.com.

Funding

Climbing the peak (Dengfeng) Talent Training Program of Beijing Hospitals Authority DFL20191701National Key Research and Development Program of China 2021YFC2301900National Natural Science Foundation of China 82072271National Natural Science Foundation of China 82272319the Beijing Health Technologies Promotion Program BHTPP202002the Beijing Key Laboratory for HIV/AIDS Research BZ0089the Excellent Clinical Research Program in Research-Oriented Wards of Beijing Municipal Health Commission BRWEP2024W042180104the High-Level Public Health Specialized Talents Project of Beijing Municipal Health Commission 2022-1-007the High-Level Public Health Specialized Talents Project of Beijing Municipal Health Commission 2022-2-018
6 · The paper itself

Abstract

backgroundOwing to long-term antiretroviral therapy (ART), the incidence of non-HIV-related chronic diseases is increasing, and liver disease is the leading cause of increased AIDS mortality. Moreover, the prevalence of NAFLD and liver fibrosis has been reported to vary widely across regions and studies. There is no precise description of the trend and characteristics of NAFLD in PLWH. Here, we aimed to explore the prevalence and outcomes of NAFLD in people living with HIV (PLWH).

methodsThe PubMed, Web of Science, Embase, and Cochrane Library databases were searched on August 15, 2023, for studies that evaluated the prevalence of NAFLD or liver fibrosis among PLWH. The meta-synthesized effects of NAFLD and liver fibrosis were the primary outcomes, and potential moderators were the secondary outcomes. The meta-analysis of the combined event rate (ER) and random effects was conducted on the basis of the number of individuals with NAFLD, the number of individuals with liver fibrosis, and the total sample size.

resultsOf the 3520 studies identified, 41 studies were eligible for the meta-analysis. The results revealed that the combined ERs of NAFLD and liver fibrosis were 0.38 (95% CI: 0.33-0.43, p < 0.01) and 0.25 (95% CI: 0.18-0.32, p < 0.01), respectively.

conclusionsThis meta-analysis provided empirical evidence that the prevalence of NAFLD and liver fibrosis in PLWH is greater than that in the general population, which requires sufficient attention. In the HIV population, noninvasive imaging to monitor NAFLD changes should be strengthened, and a high TG level might be an early predictive indicator for HIV-associated fatty liver disease; however, large-scale prospective clinical research data are still needed for further validation and evaluation.

Indexed as

HIV InfectionsNon-alcoholic Fatty Liver DiseaseHumansLiver CirrhosisPrevalenceHIVLiver fibrosisMeta-analysisNAFLD

Identifiers

PMID40108499
PMCPMC11921747

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.