Evidence map›Paper›PMID 40411391›Full record

Observational studyThe Journal of international medical research2025

An optimized anthropometric index-a body shape index-cm-demonstrates superior performance in cardiovascular risk stratification.

Jiayu Tian, Xuejie Wang, Xiaoqin Wen, Bo Gao

Abstract readObservational Study
In one paragraph

Observational study in The Journal of international medical research, 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

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

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

4 authors.

Jiayu TianDepartment of Cardiology, Tianjin Hospital, China.
Xuejie WangDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, China.
Xiaoqin WenDepartment of Cardiology, Tianjin Hospital, China.
Bo GaoDepartment of Cardiology, Tianjin Hospital, China.ORCID 0009-0003-5484-7856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveA body shape index is a novel indicator for assessing central obesity, but its relationship with cardiovascular disease and mortality remains unclear. This study aimed to assess whether a body shape index-cm, a refined version of a body shape index, improves cardiovascular risk stratification.MethodsUsing data from the National Health and Nutrition Examination Survey from 1999 to 2018, along with follow-up mortality data until 2019, we conducted an observational study to evaluate the performance of a body shape index-cm in identifying cardiovascular disease and predicting mortality. We compared a body shape index-cm with traditional anthropometric indices by employing receiver operating characteristic curve analysis, Cox proportional hazards regression, restricted cubic spline, and Kaplan-Meier survival analysis.ResultsAmong 47,668 participants, a body shape index-cm emerged as a superior screening tool for cardiovascular diseases, achieving an area under the curve of 0.701, surpassing those of waist-to-height ratio (0.631), waist circumference (0.624), and body mass index (0.556). A body shape index-cm showed the highest accuracy in identifying coronary heart disease (area under the curve: 0.728). A linear relationship was observed between a body shape index-cm and cardiovascular mortality risk, with each standard deviation increase in a body shape index-cm associated with a 20% increase in mortality risk.ConclusionsA body shape index-cm outperforms traditional measures in identifying cardiovascular disease and shows a linear correlation with cardiovascular mortality.

Indexed as

AnthropometryCardiovascular DiseasesObesity, AbdominalAdultAgedBody Mass IndexFemaleHeart Disease Risk FactorsHumansKaplan-Meier EstimateMaleMiddle AgedNutrition SurveysProportional Hazards ModelsRisk AssessmentROC Curvea body shape indexanthropometric indicesCardiovascular diseasecardiovascular mortalitycentral obesity

Identifiers

PMID40411391
PMCPMC12103686

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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.