Evidence map›Paper›PMID 42958482›Full record

ArticleBMC cardiovascular disorders2026

Metabolic score for visceral fat as a predictor of new-onset cardiovascular disease in patients with metabolic syndrome: a validation study in two prospective cohorts (UK Biobank and CHARLS).

Zhen Tan, Yijun Liu, Lei Liu, Mao Ye, Xinrui Xue, Shuang Li, Xiaoping Li, Hongqiang Ren

Abstract readValidation Study
In one paragraph

Article in BMC cardiovascular disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zhen Tan *Department of Cardiology, Suining Central Hospital, No.27 of Dongping North Road, Hedong New District, Suining, Sichuan, China.
Yijun Liu *Department of Cardiology, Suining Central Hospital, No.27 of Dongping North Road, Hedong New District, Suining, Sichuan, China.
Lei Liu *Department of Cardiology, Suining Central Hospital, No.27 of Dongping North Road, Hedong New District, Suining, Sichuan, China.
Mao YeDepartment of Cardiology, Suining Central Hospital, No.27 of Dongping North Road, Hedong New District, Suining, Sichuan, China.
Xinrui XueDepartment of Cardiology, Suining Central Hospital, No.27 of Dongping North Road, Hedong New District, Suining, Sichuan, China.
Shuang LiDepartment of Cardiology, Suining Central Hospital, No.27 of Dongping North Road, Hedong New District, Suining, Sichuan, China.
Xiaoping LiDepartment of Cardiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Hongqiang RenDepartment of Cardiology, Suining Central Hospital, No.27 of Dongping North Road, Hedong New District, Suining, Sichuan, China. rhq1980@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) substantially increases cardiovascular disease (CVD) risk. The metabolism score for visceral fat (METS-VF) is a novel assessment tool that may substitute visceral adipose tissue measurement. This study investigated the association between METS-VF and new-onset CVD in MetS patients.

methodsThe data from two prospective cohorts: UK Biobank (UKB) and the China Health and Retirement Longitudinal Study (CHARLS). Multivariate Cox regression and restricted cubic spline (RCS) analyses assessed the association between METS-VF and new-onset CVD. The interaction between METS-VF and the CVD polygenic risk score (PRS) was analyzed in the UKB to assess genetic contributions. Receiver operating characteristic (ROC) curves, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to evaluate the discriminative capability of METS-VF for new-onset CVD. Subgroup analyses were performed to confirm the robustness of the results.

resultsA total of 101,292 individuals from the UK Biobank and 1,680 individuals from CHARLS were included. The median follow-up periods were 14.6 years in UKB and 5.0 years in CHARLS. High METS-VF was significantly associated with an increased risk of new-onset CVD in both UKB (HR = 1.63, 95% CI: 1.56-1.71) and CHARLS (HR = 2.11, 95% CI: 1.52-2.94) compared with low METS-VF. Individuals with the highest METS-VF and high genetic risk exhibited the highest risk of new-onset CVD (HR = 2.36, 95% CI: 2.14-2.61).

conclusionsMETS-VF is a valuable indicator for predicting new-onset CVD in individuals with MetS, providing new insights into the prevention and management of CVD in high-risk populations.

trial registrationNot applicable.

Indexed as

AdiposityCardiovascular DiseasesIntra-Abdominal FatMetabolic SyndromeAgedBiological Specimen BanksChinaFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansLongitudinal StudiesMaleMiddle AgedPhenotypePredictive Value of TestsChina health and retirement longitudinal studyMetabolic syndromeMetabolism score for visceral fatNew-onset cardiovascular diseaseUK Biobank

Identifiers

PMID42958482
PMCPMC13718111

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