Evidence map›Paper›PMID 38419039›Full record

ArticleCardiovascular diabetology2024

Association between different insulin resistance surrogates and all-cause mortality in patients with coronary heart disease and hypertension: NHANES longitudinal cohort study.

Xin-Zheng Hou, Yan-Fei Lv, Yu-Shan Li, Qian Wu, Qian-Yu Lv, Ying-Tian Yang, Lan-Lan Li, Xue-Jiao Ye, Chen-Yan Yang, Man-Shi Wang and 2 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 1 pooled it
–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

121 citing papers in PubMed, 1 synthesis or guideline pooled it.

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61 more citing papers are in PubMed but not listed here.

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.

Xin-Zheng HouDepartment of Cardiovascular Diseases, Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yan-Fei LvCollege of Management, Fudan University, Shanghai, China.
Yu-Shan LiCollege of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Qian WuDepartment of Cardiovascular Diseases, Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Qian-Yu LvDepartment of Cardiovascular Diseases, Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Ying-Tian YangDepartment of Cardiovascular Diseases, Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Lan-Lan LiDepartment of Cardiovascular Diseases, Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Xue-Jiao YeDepartment of Cardiovascular Diseases, Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Chen-Yan YangDepartment of Cardiovascular Diseases, Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Man-Shi WangDepartment of Cardiovascular Diseases, Guangwai Hospital, Beijing, China.
Lin-Lin CaoDepartment of Cardiovascular Diseases, Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Shi-Han WangDepartment of Cardiovascular Diseases, Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China. wangshihan91@126.com.

Funding

General Project of National Natural Science Foundation of China 82374421General Project of Natural Science Foundation of Beijing 23G40521Science and technology innovation project of China Academy of Chinese Medical Sciences C12021A00921
6 · The paper itself

Abstract

backgroundStudies on the relationship between insulin resistance (IR) surrogates and long-term all-cause mortality in patients with coronary heart disease (CHD) and hypertension are lacking. This study aimed to explore the relationship between different IR surrogates and all-cause mortality and identify valuable predictors of survival status in this population.

methodsThe data came from the National Health and Nutrition Examination Survey (NHANES 2001-2018) and National Death Index (NDI). Multivariate Cox regression and restricted cubic splines (RCS) were performed to evaluate the relationship between homeostatic model assessment of IR (HOMA-IR), triglyceride glucose index (TyG index), triglyceride glucose-body mass index (TyG-BMI index) and all-cause mortality. The recursive algorithm was conducted to calculate inflection points when segmenting effects were found. Then, segmented Kaplan-Meier analysis, LogRank tests, and multivariable Cox regression were carried out. Receiver operating characteristic (ROC) and calibration curves were drawn to evaluate the differentiation and accuracy of IR surrogates in predicting the all-cause mortality. Stratified analysis and interaction tests were conducted according to age, gender, diabetes, cancer, hypoglycemic and lipid-lowering drug use.

results1126 participants were included in the study. During the median follow-up of 76 months, 455 participants died. RCS showed that HOMA-IR had a segmented effect on all-cause mortality. 3.59 was a statistically significant inflection point. When the HOMA-IR was less than 3.59, it was negatively associated with all-cause mortality [HR = 0.87,95%CI (0.78, 0.97)]. Conversely, when the HOMA-IR was greater than 3.59, it was positively associated with all-cause mortality [HR = 1.03,95%CI (1.00, 1.05)]. ROC and calibration curves indicated that HOMA-IR was a reliable predictor of survival status (area under curve = 0,812). No interactions between HOMA-IR and stratified variables were found.

conclusionThe relationship between HOMA-IR and all-cause mortality was U-shaped in patients with CHD and hypertension. HOMA-IR was a reliable predictor of all-cause mortality in this population.

Indexed as

Coronary DiseaseHypertensionInsulin ResistanceBiomarkersBlood GlucoseCohort StudiesGlucoseHumansLongitudinal StudiesNutrition SurveysTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesAll-cause mortalityCoronary heart diseaseHypertensionInsulin resistance

Identifiers

PMID38419039
PMCPMC10903030

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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.