Evidence map›Paper›PMID 39934719›Full record

ArticleBMC public health2025

Changes in drinking levels and metabolic dysfunction-associated steatotic liver disease: a longitudinal study from the China multi-ethnic cohort study.

Ning Zhang, Jingzhong Li, Xiaofen Xie, Yifan Hu, Hongxiang Chen, Yuan Zhang, Yujie Liu, Xingren Zhu, Hao Xu, Zhenghong Wang and 6 more

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

16 authors.

Ning Zhang *West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Jingzhong Li *Tibet Center for Disease Control and Prevention, Lhasa, China.
Xiaofen XieWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Yifan HuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Hongxiang ChenWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Yuan ZhangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Yujie LiuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Xingren ZhuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Hao XuState Key Laboratory of Oral Diseases, Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences, Sichuan University, Chengdu, China.
Zhenghong WangChongqing Municipal Center for Disease Control and Prevention, Chongqing, China.
Kangzhuo BaimaHigh Altitude Health Science Research Center of Tibet University, Lhasa, Tibet, China.
Xuehui ZhangSchool of Public Health, Kunming Medical University, Kunming, China.
Zixiu QinSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China.
Zhimiao YuChengdu Center for Disease Control and Prevention, Chengdu, China.
Xiong XiaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China. xiaoxiong.scu@scu.edu.cn.ORCID http://orcid.org/0000-0003-4471-7946
Xing ZhaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.

Funding

National Key Research and Development Program of China 2017YFC0907300National Natural Science Foundation of China 82273740Natural Science Foundation of Sichuan Province 2024NSFSC0552
6 · The paper itself

Abstract

backgroundLittle is known about the associations of changes in drinking levels with the newly defined metabolic dysfunction-associated steatotic liver disease (MASLD). We therefore sought to estimate the associations between changes in drinking levels and MASLD in less developed regions of China.

methodsThis longitudinal study included 8727 participants from the China Multi-Ethnic Cohort (CMEC) in less developed regions, all participating in baseline and a follow-up survey. MASLD was defined as hepatic steatosis, along with the presence of at least one of five cardiometabolic risks, in addition to limiting excessive alcohol consumption. We applied the parametric g-formula to evaluate the association between changes in drinking levels and MASLD. We further estimated the association between changes in drinking levels and fibrosis scores (AST-to-platelet ratio and fibrosis-4 index) in patients with MASLD.

resultsCompared with sustained non-drinking, sustained modest drinking was associated with a higher risk of MASLD (Mean Ratio (MR): 1.127 [95% CI: 1.040-1.242]). Compared to sustained non-drinking, the MR for those transitioning from non-drinking to modest drinking was 1.065 [95% CI: 0.983-1.169], while the MR for those changing from modest drinking to non-drinking was 1.059 [95% CI: 0.965, 1.173]. Non-invasive fibrosis scores tended to increase with modest drinking compared to sustained non-drinking.

conclusionIn the less developed regions of China, sustained moderate drinking was associated with the risk of MASLD compared with sustained non-drinking. Increased drinking showed a trend towards a higher risk of MASLD. This study can inform drinking policies related to MASLD and liver fibrosis in less developed regions.

Indexed as

Alcohol DrinkingEthnicityFatty LiverAdultChinaCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsChanges in drinking levelsMASLDModest alcohol consumptionNAFLD

Identifiers

PMID39934719
PMCPMC11817541

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.