Evidence map›Paper›PMID 41239304›Full record

ArticleBMC endocrine disorders2025

Visceral lipid accumulation and lipid accumulation product outperform insulin resistance score for metabolic syndrome prediction in Northern Chinese adults: validation through AUC comparison and decision curve analysis.

Qing Liu, Xing Guan, Li-Jun Wang, Zheng Wang, Han Zhang, Yu-Qiang Zuo

Abstract readComparative StudyValidation Study
In one paragraph

Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

6 authors.

Qing LiuDepartment of Medical Equipment, The 2nd Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China.
Xing GuanDepartment of Physical Examination Center, The People's Hospital of Shijiazhuang City, Shijiazhuang City, Hebei Province, China.
Li-Jun WangDepartment of Otolaryngology, The People's Hospital of Shijiazhuang City, Shijiazhuang City, Hebei Province, China.
Zheng WangDepartment of Respiratory, The 2nd Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China.
Han ZhangDepartment of Physical Examination Center, The 2nd Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China.
Yu-Qiang ZuoDepartment of Physical Examination Center, The 2nd Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China. xiamu820101@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) significantly elevates the risk of diabetes and cardiovascular disease. While insulin resistance (IR) underpins MetS pathogenesis, practical biomarkers for population screening remain limited. The metabolic score for IR (METS-IR), lipid accumulation product (LAP) and visceral adiposity index (VAI) are highly sensitive and specific biomarkers of IR, which require comparative validation.

objectiveTo compare LAP, VAI, and METS-IR index for predicting MetS with sex-stratified analysis.

methodsThe physiological characteristics and blood biochemistry data collected from 2821 patients during an annual health check-up were analyzed. Participants were assigned to MetS group (≥3 MetS conditions), pre-Mets group (1-2 Mets components) or control group (0 component) based on IDF/AHA/NHLBI 2009 criteria and were further stratified by sex. The predictive value and clinical usefulness of the LAP, VAI, and METS-IR were evaluated by receiver operating characteristic (ROC) curve and decision curve analysis (DCA).

resultsLAP, VAI, and METS-IR levels were significantly elevated in the MetS group (P < 0.05) and strongly correlated with MetS components. ROC analysis revealed LAP as the superior predictor in the total cohort (AUC: 0.904 [95% CI: 0.888-0.920]) and females (AUC: 0.949 [95% CI: 0.921-0.976]), while VAI performed best in males (AUC: 0.863 [95% CI: 0.840-0.886]). DCA confirmed the superior clinical utility of LAP and VAI over METS-IR across subgroups.

conclusionThis large-scale validation establishes LAP and VAI as superior, sex-specific predictors of MetS compared to METS-IR. LAP is optimal overall and in women, while VAI is optimal in men. Their reliance on standard clinical measurements establishes them as practical tools for metabolic risk stratification.

Indexed as

Decision Support TechniquesInsulin ResistanceIntra-Abdominal FatLipid Accumulation ProductMetabolic SyndromeAdultAgedArea Under CurveBiomarkersChinaEast Asian PeopleFemaleFollow-Up StudiesHumansMaleMiddle AgedBiomarkersInsulin resistanceLipid accumulation productMetabolic syndromeVisceral adiposity index

Identifiers

PMID41239304
PMCPMC12619445

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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 OpenQuestion graph.