Evidence mapPaperPMID 40360998Full record

ArticleBMC gastroenterology2025

Association of biological aging and the prevalence of nonalcoholic fatty liver disease: a population-based study.

Gang Liu, Qingsong Mao, Xinling Tian, Chenwei Zhang, Yukai Zhang, Jiarong He, Yuzhe Kong

Abstract read
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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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Gang LiuDepartment of Infection Control, International School of Medicine, The Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Qingsong MaoHepatobiliary Pancreatic Surgery, Banan Hospital Affiliated of Chongqing Medical University, Chongqing, China.
Xinling TianXiangya School of Medicine, Central South University, Changsha, China.
Chenwei ZhangNHC Key Laboratory of Pneumoconiosis, Shanxi Key Laboratory of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, The First Hospital of Shanxi Medical University, Taiyuan, China.
Yukai ZhangThe First Clinical Medical College, Shanxi Medical University, Taiyuan, China.
Jiarong HeDepartment of Neurosurgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Yuzhe KongXiangya School of Medicine, Central South University, Changsha, China. csuyuzhekong@foxmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo examine the relationship between biological aging and the prevalence of NAFLD.

methodWe used the recommended sampling weights to account for the complex survey design of NHANES. The analysis, utilizing data from 2005 to 2016, aimed to investigate the impact of biological aging on NAFLD prevalence using various statistical methods. A restricted cubic spline (RCS) model was applied to explore the dose-response relationship, while logistic regression examined linear associations. The robustness of the association across different subgroups was also tested.

resultThe study included 2786 participants. We found significant associations between NAFLD and the following biological aging metrics: AL score (OR (95%CI) = 1.1932 (1.0597 ~ 1.3435), P = 0.0035), HD (OR (95%CI) = 1.2092 (1.0565 ~ 1.3839), P = 0.0058), and PA (OR (95%CI) = 1.7564 (1.1949 ~ 2.5818), P = 0.0042). All biological aging metrics were identified as independent predictors. PA was most associated with the prevalence of NAFLD. The associations persisted across most subgroups.

conclusionThe prevalence of NAFLD was associated with biological aging, emphasizing the importance of addressing potential health risks related to aging.

Indexed as

AgingNon-alcoholic Fatty Liver DiseaseAdultAgedCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsUnited StatesAllostatic loadHomeostatic dysregulationKlemera-doubal method biological ageNational health and nutrition examination surveyNonalcoholic fatty liver diseasePhenotypic age

Identifiers

PMID40360998
PMCPMC12070789

What Socratic holds

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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 Socratic graph.