Evidence map›Paper›PMID 39765230›Full record

ArticleCell reports. Medicine2025

Associations between multiple metabolic biomarkers with steatotic liver disease subcategories: A 5-year Chinese cohort study.

Hongli Chen, Siyu Chen, Dan Liu, Yebei Liang, Huating Li, Yuqian Bao, Zhijun Zhu, Keqing Dong, Wen Li, Liang Feng and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

15 authors.

Hongli ChenDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghhai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China.
Siyu ChenDepartment of Endocrinology and Metabolism, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Suzhou 215000, China.
Dan LiuDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghhai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China.
Yebei LiangDepartment of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Huating LiDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghhai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China.
Yuqian BaoDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghhai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China.
Zhijun ZhuGeneral Practitioner Teams, Community Health Service Center of Nicheng, Shanghai 201306, China.
Keqing DongGeneral Practitioner Teams, Community Health Service Center of Nicheng, Shanghai 201306, China.
Wen LiDepartment of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Liang FengDepartment of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Di ChengDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghhai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China.
Fusong JiangDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghhai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China.
Li WeiDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghhai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China.
Xuhong HouDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghhai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China. Electronic address: houxuhong@sjtu.edu.cn.
Weiping JiaDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghhai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China. Electronic address: wpjia@sjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effectiveness of established biomarkers for non-alcoholic fatty liver disease (NAFLD) within the updated framework of steatotic liver disease (SLD) remains uncertain. This cohort study examines the association of four metabolic biomarkers-retinol-binding protein 4 (RBP-4), fibroblast growth factor 21 (FGF-21), adiponectin, and osteocalcin-with SLD and its subtypes: metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction with alcohol-related liver disease (MetALD)/alcohol-related liver disease (ALD). Among 3,504 Chinese participants aged 55-70, 938 (26.8%) have developed SLD over 5 years, including 871 with MASLD and 67 with MetALD/ALD. The findings indicate that models incorporating RBP-4, FGF-21, adiponectin, and osteocalcin improve predictive accuracy for SLD beyond conventional models. Notably, adiponectin emerges as the most versatile marker, while elevated baseline levels of FGF-21 or RBP-4 indicate specific needs for metabolic or alcohol-related interventions, respectively, supporting tailored precision medicine strategies.

Indexed as

BiomarkersFatty LiverNon-alcoholic Fatty Liver DiseaseAdiponectinAgedAsian PeopleChinaCohort StudiesFemaleFibroblast Growth FactorsHumansMaleMiddle AgedOsteocalcinRetinol-Binding Proteins, PlasmaAdiponectinADIPOQ protein, humanBiomarkersFGF21 protein, humanfibroblast growth factor 21Fibroblast Growth FactorsOsteocalcinRBP4 protein, humanRetinol-Binding Proteins, PlasmaadiponectinALDcohort studyfibroblast growth factor 21MASLDMetALDNAFLDosteocalcinretinol-binding protein 4

Identifiers

PMID39765230
PMCPMC11866451

What OpenQuestion holds

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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 OpenQuestion graph.