Evidence map›Paper›PMID 41923750›Full record

ArticleReviews in cardiovascular medicine2026

Associations Between the Modified Cardiometabolic Index and Stroke in Patients With Different Glucose Metabolism Statuses: Evidence From a Nationally Representative Survey.

Tingting Deng, Guiling Wu, Xinghuan Liang, Yajuan Peng, Zhiyuan Dong, Yu Shen, Yingfen Qin

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2026. 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

7 authors.

Tingting DengDepartment of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, 530021 Nanning, Guangxi, China.ORCID https://orcid.org/0009-0007-2713-3419
Guiling WuDepartment of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, 530021 Nanning, Guangxi, China.ORCID https://orcid.org/0009-0000-0639-9620
Xinghuan LiangDepartment of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, 530021 Nanning, Guangxi, China.ORCID https://orcid.org/0000-0002-2992-2098
Yajuan PengDepartment of Endocrinology, The Fourth Affiliated Hospital of Guangxi Medical University, 545000 Liuzhou, Guangxi, China.ORCID https://orcid.org/0009-0008-5127-880X
Zhiyuan DongDepartment of Endocrinology, The Fourth Affiliated Hospital of Guangxi Medical University, 545000 Liuzhou, Guangxi, China.ORCID https://orcid.org/0009-0003-2840-455X
Yu ShenDepartment of Neurology, The First Affiliated Hospital of Nanchang University, 330006 Nanchang, Jiangxi, China.ORCID https://orcid.org/0000-0003-3415-0309
Yingfen QinDepartment of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, 530021 Nanning, Guangxi, China.ORCID https://orcid.org/0000-0001-7715-7311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between the modified cardiometabolic index (MCMI) and the risk of incident stroke across patients with different glycemic statuses remains unclear. This study aimed to investigate the relationship between baseline MCMI levels and incident stroke in Chinese middle-aged and older adults with varying glucose metabolism states. Methods: Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015, and 2018. Kaplan-Meier curves, multivariable Cox proportional hazards models, and restricted cubic spline analyses were employed to assess the relationship between the MCMI and stroke risk stratified by glycemic status. Subgroup and sensitivity analyses were performed to confirm the robustness of the findings. Results: A total of 7455 participants were included. A total of 457 individuals (6.13%) experienced stroke events during a median follow-up of 7 years. A significant linear association was observed between a higher MCMI and increased stroke risk. A nonlinear relationship was detected among participants with normal glucose regulation (NGR), with a sharp increase in risk beyond an MCMI threshold of 1.904 (hazard ratio (HR) = 1.85; 95% confidence interval (CI): 1.24-2.76; Conclusion: An elevated MCMI is positively associated with incident stroke, particularly in individuals with NGR or prediabetes. Early identification of a high MCMI may be valuable for stroke prevention, risk stratification, and timely intervention in community populations.

Indexed as

cardiometabolic risk factorsChinaglucose metabolismlongitudinal studiesstroke

Identifiers

PMID41923750
PMCPMC13036548

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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.