Evidence map›Paper›PMID 41053750›Full record

ArticleBMC public health2025

Impact of cardiometabolic index change on stroke risk in Chinese middle-aged and elderly: a prospective study.

Mei Tian, Xiaoyan Ma, Jianxi Liu, Lingling Tong, Wenqing Ding

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Mei Tian *School of Public Health, Ningxia Medical University, Shengli Street, Xingqing District, Yinchuan, 750004, China.
Xiaoyan Ma *School of Public Health, Ningxia Medical University, Shengli Street, Xingqing District, Yinchuan, 750004, China.
Jianxi LiuSchool of Public Health, Ningxia Medical University, Shengli Street, Xingqing District, Yinchuan, 750004, China.
Lingling TongSchool of Public Health, Ningxia Medical University, Shengli Street, Xingqing District, Yinchuan, 750004, China.
Wenqing DingSchool of Public Health, Ningxia Medical University, Shengli Street, Xingqing District, Yinchuan, 750004, China. dwqdz@163.com.

Funding

the National Natural Science Foundation of China 82160641
6 · The paper itself

Abstract

backgroundData regarding the cardiometabolic index (CMI) changes and stroke are limited. Thus, our objective was to investigate the correlation between CMI changes and stroke among middle-aged and elderly individuals in China.

methodsThe China Health and Retirement Longitudinal Study (CHARLS) used a multistage stratified sampling approach to survey individuals aged 45 and above. Changes in CMI were calculated as the differences in CMI between 2015 and 2012 divided by the number of years. The lowest third of the CMI changes were negative and categorized as the 'loss' group; the middle third exhibited a steady increase and was classified as the 'stable' group; the top third showed positive changes and was categorized as the 'gain' group. Subsequently, we monitored the participants from 2015 to 2020.

resultsOut of the 4,365 participants observed during the five-year follow-up period, 356 individuals (8.2%) developed stroke. Compared with the lowering group, the ratio (OR) for stroke in the stable group was 1.503 (95% CI: 1.096-2.061); the OR for stroke in the gain group was 1.528 (95% CI: 1.117-2.089). A nonlinear relationship was observed between CMI changes and stroke (P

conclusionOur findings indicate a nonlinear and positive association between CMI changes and stroke in Chinese middle-aged and older people, which can help to develop interventions to prevent stroke with strategies for high-risk groups.

Indexed as

Cardiometabolic Risk FactorsStrokeAgedChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesRisk FactorsCardiometabolic indexChangesCHARLESProspective studyStroke

Identifiers

PMID41053750
PMCPMC12502385

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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.