Evidence map›Paper›PMID 42337554›Full record

ArticleDiabetology & metabolic syndrome2026

Association of frailty and metabolism with multi-state model in fatty liver disease, diabetes mellitus and all-cause mortality.

Xiaoyan Wang, Chenxi Jin, Qi Zhong, Xiaomeng Wang, Yining Xu, Meixuan Li, Lu Liu, Hui Huang, Anying Liang, Jing Wang and 3 more

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Xiaoyan Wang *Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Road North, Guangzhou, 510515, China.
Chenxi Jin *Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Road North, Guangzhou, 510515, China.
Qi Zhong *Department of Occupational Health and Medicine, School of Public Health, Southern Medical University, Guangzhou, China.
Xiaomeng WangDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Road North, Guangzhou, 510515, China.
Yining XuDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Road North, Guangzhou, 510515, China.
Meixuan LiDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Road North, Guangzhou, 510515, China.
Lu LiuDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Road North, Guangzhou, 510515, China.
Hui HuangDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Road North, Guangzhou, 510515, China.
Anying LiangDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Road North, Guangzhou, 510515, China.
Jing WangDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Road North, Guangzhou, 510515, China.
Xianbo WuDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Road North, Guangzhou, 510515, China. wuxb1010@smu.edu.cn.
Linna LiDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Road North, Guangzhou, 510515, China. lln530@hotmail.com.
Mengchen ZouDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Road North, Guangzhou, 510515, China. zoumc163@163.com.ORCID http://orcid.org/0000-0003-1409-4645

Funding

National Natural Science Foundation of China 8257034642
6 · The paper itself

Abstract

objectiveFrailty is a global public health issue, and metabolic syndrome (MetS) is also associated with a variety of adverse health outcomes. However, the relationship between the combined effects of these two factors and the occurrence and progression of long-term diseases remains unclear.

methodsThis is a population-based cohort study involving 165,555 participants from the UK Biobank. We combined frailty status scores with metabolic condition scores to assess the predictive value. Associations were assessed using multi-state model, corrected Cox models, restricted cubic spline, stratified analysis, Kaplan-Meier analysis.

resultsDuring the 12.7-year follow-up period, 3,585 individuals were newly diagnosed with metabolic-associated fatty liver disease (MAFLD), among whom 170 developed non-insulin-dependent diabetes mellitus (NIDDM) and 699 died from all causes. Compared with Group 1(neither frailty nor MetS), the HR and 95% confidence intervals for Group 4 (both frailty and MetS) was 2.92 (2.45-3.47) for MAFLD, 4.21 (2.23-7.96) for MAFLD→NIDDM, and 1.22 (0.75-2.02) for MAFLD→Death. The Kaplan-Meier analysis further confirmed these findings. Consistent findings regarding the frailty phenotype and MetS had also been observed in the progression of NIDDM.

conclusionThis study demonstrates a positive association between frailty phenotype and MetS in disease onset and progression, and their combined assessment enables a more effective early risk stratification.

Indexed as

Frailty phenotypeMetabolic-associated fatty liver diseaseMetabolic syndromeMulti-state modelNon-insulin-dependent diabetes mellitus

Identifiers

PMID42337554
PMCPMC13543489

What Socratic holds

Textmetadata
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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 Socratic graph.