Evidence mapPaperPMID 40656791Full record

ArticleCardiovascular diagnosis and therapy2025

Association between the cardiometabolic index and all-cause and cardiovascular mortality in diabetes and prediabetes.

Ying Wang, Keith C Ferdinand, Carmine Gazzaruso, John David Horowitz, Meng Ren

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In one paragraph

Article in Cardiovascular diagnosis and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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.

Ying WangDepartment of Clinical Laboratory, Beijing Tongzhou District Hospital of Integrated Traditional Chinese and Western Medicine, Beijing, China.
Keith C FerdinandDepartment of Medicine, Tulane School of Medicine, Section of Cardiology, New Orleans, LA, USA.
Carmine GazzarusoDepartment of Biomedical Sciences for Health, University of Milan, Milan Italy and Diabetes and Endocrine-Metabolic Diseases Unit Clinical Institute "Beato Matteo" (Hospital Group San Donato), Vigevano, Italy.
John David HorowitzBasil Hetzel Institute for translational Research, The University of Adelaide, Adelaide, Australia.
Meng RenDepartment of Clinical Laboratory, Beijing Tongzhou District Hospital of Integrated Traditional Chinese and Western Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between the cardiometabolic index (CMI) and mortality in individuals with diabetes or prediabetes remains unclear. This study sought to explore the association between the baseline CMI and all-cause mortality and cardiovascular disease (CVD) mortality in United States (U.S.) adults with diabetes or prediabetes. Methods: This cohort study examined the data of 17,992 individuals, aged 18 years and older, with diabetes and prediabetes, who had participated in the National Health and Nutrition Examination Survey (NHANES; 2003-2018). Kaplan-Meier curve, Cox proportional hazards model, and restricted cubic spline (RCS) curve analyses were conducted to explore the relationship between the CMI and all-cause mortality and CVD mortality. Subgroup and sensitivity analyses were conducted to check the robustness of the main findings. Results: During 137,687 person-years of follow-up (median: 7.4 years), a total of 2,718 all-cause deaths and 891 CVD-related deaths were recorded. In the multivariate adjusted models, the CMI was positively associated with the risk of all-cause mortality and CVD mortality. Specifically, the hazard ratio (HR) estimates for all-cause death and 95% confidence intervals (CIs) for the low to high CMI quartiles were 1.00 (reference), 1.056 (0.875-1.274), 1.156 (0.912-1.464), and 1.42 (1.080-1.867), respectively. While the CVD mortality HRs were 1.00 (reference), 1.041 (0.768-1.41), 1.077 (0.771-1.503), and 1.29 (0.836-1.99), respectively. The RCS analysis showed that the baseline CMI was approximately U-shaped in relation to all-cause mortality (P Conclusions: The CMI demonstrated predictive value for the risk of all-cause mortality and CVD mortality among U.S. participants with prediabetes and diabetes. The relationship between the CMI and long-term mortality exhibited an approximately U-shaped pattern, highlighting its potential as a robust indicator for mortality risk stratification in this population.

Indexed as

Cardiometabolic index (CMI)cardiovascular disease (CVD)diabetesmortalityNational Health and Nutrition Examination Survey (NHANES)

Identifiers

PMID40656791
PMCPMC12246997

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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 Socratic graph.