Evidence map›Paper›PMID 42255430›Full record

ArticleFrontiers in endocrinology2026

Metabolic-dimension CKM staging and cardiometabolic components predict incident MASLD: a longitudinal community-based cohort study.

Xinyang Long, Meihui Wu, YeMei Mo, Yingqi Zhang, Yining Lin, Qiuling Zhang, Zengnan Mo

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 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
–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

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

7 authors.

Xinyang Long *School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Meihui Wu *Department of Nursing, Daping Hospital, Army Medical University, Chongqing, China.
YeMei MoThe First People's Hospital of Yulin, Yulin, Guangxi, China.
Yingqi ZhangSchool of Basic Medical College, Guangxi Medical University, Nanning, Guangxi, China.
Yining LinSchool of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Qiuling ZhangThe First People's Hospital of Yulin, Yulin, Guangxi, China.
Zengnan MoCentre for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Centre for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) shares metabolic pathways with cardiovascular-kidney-metabolic (CKM) syndrome, but prospective community-based evidence linking CKM metabolic risk burden to incident MASLD remains limited. Methods: We analysed longitudinal health examination data from a community cohort in Guangxi, southern China. Because subclinical cardiovascular and kidney assessments were unavailable, CKM staging was operationalised as a metabolic-dimension staging system based on five cardiometabolic (CM) components. Cross-sectional analyses included 3,315 participants. The primary forward cohort included 2,055 participants free of MASLD at baseline, with 294 incident events over a median 2.61 years. An exploratory reverse cohort included 648 participants at CKM early stage, with 407 progression events over a median 1.77 years. Ultrasonographic fatty liver alone was used as a sensitivity outcome to address definitional overlap between MASLD and CM components. Results: Each additional CM component was associated with higher odds of prevalent MASLD (OR = 1.94, 95% CI: 1.79-2.10), with a similar estimate for fatty liver alone (OR = 1.90, 95% CI: 1.75-2.05). In the forward cohort, metabolic-dimension CKM Stage 2 was associated with higher incident MASLD risk compared with Stage 0 (HR = 2.33, 95% CI: 1.20-4.54), and the fatty-liver-alone sensitivity outcome yielded a consistent estimate (HR = 2.95, 95% CI: 1.39-6.26). Among individual CM components, excess adiposity was the strongest predictor (mutually adjusted HR = 2.97, 95% CI: 2.00-4.41), followed by hypertriglyceridaemia (HR = 1.63, 95% CI: 1.23-2.18). In the exploratory reverse cohort, baseline MASLD was associated with CKM stage progression in the age- and sex-adjusted model (HR = 2.13, 95% CI: 1.49-3.03), but this association attenuated after adjustment for baseline BMI (HR = 1.18, 95% CI: 0.81-1.71). Conclusion: Metabolic-dimension CKM staging and CM component burden predicted incident MASLD, with excess adiposity and

Indexed as

Cardiovascular DiseasesFatty LiverKidney DiseasesMetabolic SyndromeNon-alcoholic Fatty Liver DiseaseCardiometabolic Risk FactorsChinaCohort StudiesCross-Sectional StudiesFemaleHumansIncidenceLongitudinal StudiesMaleMiddle Agedcardiometabolic riskcardiovascular endocrinologycardiovascular-kidney-metabolic syndromeChinese populationCKM stagingcommunity cohorthepatologylongitudinal study

Identifiers

PMID42255430
PMCPMC13236620

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.