Evidence map›Paper›PMID 39379887›Full record

ArticleBMC public health2024

Associations of cardiometabolic index with diabetic statuses and insulin resistance: the mediating role of inflammation-related indicators.

Bin Xu, Qian Wu, Guoqing Yin, Lingchen Lu, Rui La, Yaxin Zhang, Jiasuer Alifu, Wen Zhang, Fushan Guo, Beina Ji and 2 more

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 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

12 authors.

Bin Xu *Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Qian Wu *Department of Orthopedic Surgery, Orthopedic Institute, The First Affiliated Hospital of Soochow University, Jiangsu, China. qianwujoint@163.com.
Guoqing Yin *Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Lingchen LuDepartment of Pediatric Surgery and Rehabilitation, Kunshan Maternity and Children's Health Care Hospital, Jiangsu, China.
Rui LaDepartment of Orthopedic Surgery, Orthopedic Institute, The First Affiliated Hospital of Soochow University, Jiangsu, China.
Yaxin ZhangDepartment of Rheumatology and Immunology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jiasuer AlifuDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Wen ZhangDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Fushan GuoDepartment of Cardiology, Zhongshan-Xuhui Hospital, Shanghai Xuhui Central Hospital, Fudan University, Shanghai, China.
Beina JiDepartment of Cardiology, Zhongshan-Xuhui Hospital, Shanghai Xuhui Central Hospital, Fudan University, Shanghai, China.
Fuad A AbduDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China. 1691026@tongji.edu.cn.
Wenliang CheDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China. chewenliang@tongji.edu.cn.

Funding

Clinical Research Plan of Shanghai Tenth People's Hospital YNCR2A001Clinical Research Plan of SHDC SHDC2020CR4065Foundation of Chongming CKY2021-21Foundation of Shanghai Municipal Health Commission 202140263Foundation of the Science and Technology Commission of Shanghai Municipality 20dz1207200National Natural Science Foundation of China 82170521Shanghai Natural Science Foundation of China 21ZR1449500Tibet Natural Science Foundation of China XZ2022ZR-ZY27(Z)
6 · The paper itself

Abstract

backgroundThis study aimed to analyze the associations of cardiometabolic index (CMI) with diabetic statuses and insulin resistance (IR) using data from the National Health and Nutrition Examination Survey (NHANES) and examined the potential mediating role of inflammation in these correlations.

methodsThis study enrolled 9477 participants across four NHANES cycles from 2011 to 2018. The primary outcomes of the study included the risk of having prediabetes, diabetes and the level of the homeostasis model assessment of IR (HOMA-IR). Other outcomes including the levels of fasting blood glucose (FBG), hemoglobin A1c (HbA1c), oral glucose tolerance test (OGTT) results, fasting insulin, the risk of oral hypoglycemic medicine use, insulin use, and retinopathy were also collected and analyzed. Logistic regression model, subgroup analysis, restricted cubic spine (RCS), and Pearson correlation coefficients were conducted to assess the associations of CMI with diabetic statuses and IR. The mediating role of inflammation was evaluated to investigate the potential mechanism of the associations between CMI and diabetic statuses.

resultsAmong included participants, the CMI levels in normal participants, prediabetes and diabetes in this study were 0.48, 0.73 and 1.07. After multivariable adjustment, CMI was positively associated with the risk of prediabetes (OR = 1.49, 95% CI = 1.24-1.79), diabetes (OR = 2.14, 95% CI = 1.82-2.50) and the level of HOMA-IR (β = 2.57, 95% CI = 2.14-3.01). Besides, an increased CMI was correlated with higher levels of FBG, HBA1c, OGTT results and fasting insulin as well as the greater risk of oral hypoglycemic medicine use and insulin use. The RCS showed an inverted L-shaped association of CMI with prediabetes and diabetes (P for non-linearity < 0.001). According to Pearson correlation coefficients, higher CMI was linked to higher rises in HOMA-IR (r = 0.224, P < 0.001). Inflammation-related indicators including leukocyte and neutrophil demonstrated significant mediating effects in the associations of CMI with prediabetes (15.5%, 9.8%), diabetes (5.1%, 6.0%) and HOMA-IR (3.3%, 2.6%).

conclusionCMI was positively associated with the risk of worse diabetic statuses and higher level of IR while the associations may be partially mediated by inflammation-related indicators, suggesting that CMI could be a promising indicator for the prediction of severe diabetes and IR.

Indexed as

InflammationInsulin ResistanceNutrition SurveysPrediabetic StateAdultAgedBlood GlucoseCardiometabolic Risk FactorsCross-Sectional StudiesDiabetes MellitusFemaleHumansMaleMiddle AgedBlood GlucoseCardiometabolic indexDiabetesInflammatoryInsulin resistanceNational Health and Nutrition Examination Survey

Identifiers

PMID39379887
PMCPMC11460066

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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.