Evidence map›Paper›PMID 39934679›Full record

ArticleBMC gastroenterology2025

Impact of steatotic liver disease subtypes, sarcopenia, and fibrosis on all-cause and cause-specific mortality: a 15.7-year cohort study.

Yebei Liang, Xiaoqi Ye, Min Pan, Yijun Chen, Yeqing Yuan, Li Luo

Abstract read
In one paragraph

Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Time-Varying Impact of Steatosis and Alcohol on Mortality: A Marginal Structural Model of the Canadian Longitudinal Study on Aging.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Review
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

6 authors.

Yebei Liang *Department of Geriatrics, The First Affiliated Hospital of Fujian Medical University, No. 20 Chazhong Road, Fuzhou, 350005, Fujian, China.
Xiaoqi Ye *Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Min PanDepartment of Geriatrics, The First Affiliated Hospital of Fujian Medical University, No. 20 Chazhong Road, Fuzhou, 350005, Fujian, China.
Yijun ChenDepartment of Geriatrics, The First Affiliated Hospital of Fujian Medical University, No. 20 Chazhong Road, Fuzhou, 350005, Fujian, China.
Yeqing YuanDepartment of Endocrinology, Children's Hospital of Nanjing Medical University, No. 72 Guangzhou Road, Nanjing, 210008, Jiangsu, China. yuanyeqing93@163.com.ORCID http://orcid.org/0000-0001-8141-0228
Li LuoDepartment of Geriatrics, The First Affiliated Hospital of Fujian Medical University, No. 20 Chazhong Road, Fuzhou, 350005, Fujian, China. hluoli@126.com.ORCID http://orcid.org/0000-0003-2667-5615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSteatotic liver disease (SLD) was a newly proposed disease category derived from metabolic dysfunction-associated fatty liver disease (MAFLD). MAFLD and sarcopenia were independent risk factors for mortality. We aimed to evaluate the impacts of SLD subtypes, MAFLD, and sarcopenia on mortality.

methodsA total of 6543 subjects were identified from the National Health and Nutrition Examination Survey 1999-2006 with the latest Linked Mortality file. Hepatic steatosis, advanced fibrosis, and sarcopenia were determined by the laboratory- and anthropometry- based fatty liver index and fibrosis-4 index, and dual-energy X-ray absorptiometry-based appendicular skeletal muscle mass index, respectively. Associations of SLD subtypes, MAFLD, and sarcopenia with mortality were estimated using the weighted Cox proportional hazards model.

resultsDuring a mean follow-up time of 15.7 years, 1567 (16.7%) deaths occurred including 494 (4.9%) deaths from cardiovascular diseases and 372 (4.1%) from cancer. The all-cause mortality rates of MAFLD, metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-associated liver disease (MetALD), other aetiology SLD, MASLD without sarcopenia, and MASLD with sarcopenia were 21.0%, 19.8%, 30.2%, 30.9%, 19.2%, and 75.5%, respectively. MAFLD increased the risk of all-cause mortality (hazard ratio [HR] 1.26, 95% confidence interval [CI] 1.00-1.59). MASLD predicted all-cause mortality (HR 1.17, 95% CI 1.03-1.33) but this prediction became insignificant after adjustment for metabolic risks. In contrast, MetALD and other aetiology SLD were significantly associated with all-cause mortality (HR 1.83, 95% CI 1.21-2.76; HR 2.50, 95% CI 1.82-3.44, respectively), predominantly associated with cancer-specific mortality (HR 2.42, 95% CI 1.23-4.74; HR 2.49, 95% CI 1.05-5.90, respectively). MASLD with sarcopenia increased the risk of all-cause mortality by almost twice (HR 2.19, 95% CI 1.37-3.49) and further coexisting advanced fibrosis additively increased mortality (HR 3.41, 95% CI 1.92-6.05).

conclusionSLD definition identified a more homogeneous group with metabolically hepatic steatosis at higher risks of mortality. MASLD or MASLD-related advanced fibrosis and sarcopenia additively increased mortality.

Indexed as

Fatty LiverLiver CirrhosisSarcopeniaAdultAgedCardiovascular DiseasesCause of DeathCohort StudiesFemaleHumansMaleMiddle AgedNutrition SurveysProportional Hazards ModelsRisk FactorsMetabolic dysfunction and alcohol-associated liver diseaseMetabolic dysfunction-associated fatty liver diseaseMetabolic dysfunction-associated steatotic liver diseaseMortalitySarcopeniaSteatotic liver disease

Identifiers

PMID39934679
PMCPMC11818238

What Socratic holds

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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.