Evidence map›Paper›PMID 41645274›Full record

ArticleNutrition & metabolism2026

Visceral fat metabolism score and cardiovascular-kidney-metabolic syndrome stages in all-cause and cause-specific mortality: insights from UK Biobank.

Jilong Bai, Panting Wei, Yao Zhang, Liying Wang, Jinyan Liu, Wenxu Wang, Wan Yu, Difei Wang

Abstract read
In one paragraph

Article in Nutrition & metabolism, 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

8 authors.

Jilong Bai *Department of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Panting Wei *Department of Health Statistics, School of Public Health, China Medical University, Shenyang, China.
Yao ZhangDepartment of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Liying WangDepartment of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Jinyan LiuDepartment of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Wenxu WangDepartment of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Wan YuDepartment of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, China. wyu2015@cmu.edu.cn.
Difei WangDepartment of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, China. dfwang@cmu.edu.cn.

Funding

Liaoning Provincial People's Livelihood Science and Technology Program Joint Project 2021JH2/10300090National Natural Science Foundation of China 92249305the Major Science and Technology Program of Liaoning Province's "Jie Bang Guai Shuai" initiative 2022JH1/10400001
6 · The paper itself

Abstract

backgroundThe roles of Cardiovascular-Kidney-Metabolic Syndrome (CKM) staging and the emerging obesity marker Visceral Fat Metabolism Score (METS-VF) in cause-specific mortality, as well as their potential interaction, remain to be further investigated.

methods396,383 UK Biobank participants were analyzed. Primary outcomes included all-cause and cause-specific deaths, including cardiovascular, respiratory, digestive, neurodegenerative diseases, cancer, and other causes. Independent and joint effects of METS-VF and CKM were evaluated using a COX proportional hazards regression model, with multiple sensitivity analyses conducted to verify robustness. Dose–response relationships were visualized using restricted cubic spline (RCS) curves. Receiver operating characteristic (ROC) analyses were conducted to evaluate the discriminative performance of METS-VF for predicting mortality compared with other obesity-related indices. Multiple sensitivity analyses were further performed to assess the robustness of the findings.

resultsOver an average follow-up of 12.51 years, 34,471 deaths were recorded. After multivariate adjustment, both METS-VF and CKM stage were associated with all-cause mortality. The hazard ratio for the highest METS-VF quartile was 1.70 (95% CI: 1.61–1.80), and for the highest CKM stage was 2.23 (95% CI: 2.12–2.35). Each 0.1 increase in METS-VF raised the risk of death by 8.2% (CVD), 3.5% (respiratory), 8.8% (digestive), 2.7% (cancer), and 6.9% (other causes). RCS analysis showed a non-linear relationship between METS-VF and mortality. ROC analyses further demonstrated that METS-VF exhibited significantly higher predictive performance for both all-cause and cause-specific mortality compared to other obesity-related indices. Joint analysis revealed that participants with stage IV CKM and high METS-VF had the highest risks of all-cause and cause-specific mortality, with synergistic effects noted for CVD, and digestive mortality.

conclusionHigh METS-VF and late-stage CKM were associated with increased risks of mortality from multiple causes. For individuals with late-stage CKM, enhanced assessment of METS-VF is recommended to facilitate timely interventions and reduce mortality risk.

Indexed as

Cardiovascular-Kidney-Metabolic syndromeCause-specific mortalityUK biobankVisceral fat metabolism score

Identifiers

PMID41645274
PMCPMC12964629

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.