Evidence map›Paper›PMID 40089751›Full record

ArticleLipids in health and disease2025

Associations between the cardiometabolic index and atherosclerotic cardiovascular disease acorss different glucose metabolism statuses: insights from NHANES, 1999-2020.

Qiong Wei, Xu Cheng, Min Li, Keying Wu, Meng Chen, Dongmei Zhang

Abstract read
In one paragraph

Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

6 authors.

Qiong Wei *Key Laboratory of Chinese Internal Medicine of Ministry of Education, Dongzhimen Hospital, Beijing University of Chinese Medicine, Hospital, No.5 Haiyuncang Hutong, Dongcheng District, Beijing, 100700, China.
Xu Cheng *Key Laboratory of Chinese Internal Medicine of Ministry of Education, Dongzhimen Hospital, Beijing University of Chinese Medicine, Hospital, No.5 Haiyuncang Hutong, Dongcheng District, Beijing, 100700, China.
Min LiKey Laboratory of Chinese Internal Medicine of Ministry of Education, Dongzhimen Hospital, Beijing University of Chinese Medicine, Hospital, No.5 Haiyuncang Hutong, Dongcheng District, Beijing, 100700, China.
Keying WuKey Laboratory of Chinese Internal Medicine of Ministry of Education, Dongzhimen Hospital, Beijing University of Chinese Medicine, Hospital, No.5 Haiyuncang Hutong, Dongcheng District, Beijing, 100700, China.
Meng ChenSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Sunshine South Street, Fangshan District, Beijing, 100029, China. chinmed@yeah.net.
Dongmei ZhangKey Laboratory of Chinese Internal Medicine of Ministry of Education, Dongzhimen Hospital, Beijing University of Chinese Medicine, Hospital, No.5 Haiyuncang Hutong, Dongcheng District, Beijing, 100700, China. chaweto@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cardiometabolic index (CMI) serves as a significant marker of diabetes mellitus (DM) and may predict the potential for cardiovascular disease development. Nevertheless, the correlation between CMI and atherosclerotic cardiovascular disease (ASCVD) among individuals exhibiting varying glucose metabolism statuses (GMS) continues to be unclear.

methodsOverall, 24,006 individuals aged 20 and above were enrolled in the research, drawn from the National Health and Nutrition Examination Survey (NHANES) database. Individuals in the study was classified into three distinct categories according to the level of fasting plasma glucose or glycated haemoglobin: normal glucose regulation, prediabetes, and DM. Multivariate logistic regression models and smoothed curve-fitting techniques were applied to investigate the correlation between CMI and ASCVD risk across varying GMS. Additionally, subgroup analyses stratified by relevant factors were performed to identify potential effect modifiers in this relationship.

resultsOverall, 2352 participants (9.8%) with ASCVD were included. An increasing trend in ASCVD risk was observed for each successive CMI tertile. After adjusting for all related covariates, a significantly positive association was observed between CMI and ASCVD (P = 0.0004). Participants with DM in the highest CMI tertile had a 114% higher ASCVD risk compared to those in the lowest tertile (OR = 2.14; 95% CI = 1.30-3.53). Smoothed curve-fitting consistently confirmed the correlation between CMI and ASCVD across diverse GMS. Subgroup analyses and interaction tests highlighted statistically significant differences within the drinking status subgroup (P-interaction = 0.0479) and GMS subgroups (P-interaction = 0.0397).

conclusionThis research suggests a positive association between ASCVD and CMI in adults in the United States, particularly among individuals with DM.

Indexed as

AtherosclerosisBlood GlucoseCardiovascular DiseasesDiabetes MellitusPrediabetic StateAdultAgedFemaleGlycated HemoglobinHumansMaleMiddle AgedNutrition SurveysRisk FactorsUnited StatesBlood GlucoseGlycated HemoglobinCardiometabolic indexCardiovascular diseasesGlucose metabolism disorders, Cross-Sectional study

Identifiers

PMID40089751
PMCPMC11910843

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.