Evidence map›Paper›PMID 38184577›Full record

ArticleCardiovascular diabetology2024

Association between the cumulative average triglyceride glucose-body mass index and cardiovascular disease incidence among the middle-aged and older population: a prospective nationwide cohort study in China.

Fadong Li, Yue Wang, Boqun Shi, Shuaifeng Sun, Shen Wang, Shuo Pang, Xiaofan Wu

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 126 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing 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

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

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66 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

7 authors.

Fadong LiDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Anzhen Road, Beijing, 100029, China.
Yue WangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Anzhen Road, Beijing, 100029, China.
Boqun ShiDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Anzhen Road, Beijing, 100029, China.
Shuaifeng SunDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Anzhen Road, Beijing, 100029, China.
Shen WangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Anzhen Road, Beijing, 100029, China.
Shuo PangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Anzhen Road, Beijing, 100029, China.
Xiaofan WuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Anzhen Road, Beijing, 100029, China. drwuxf@163.com.

Funding

Capital's Funds for Health Improvement and Research 2022-2-2068National Natural Science Foundations of China No. 82271605
6 · The paper itself

Abstract

backgroundFindings from earlier research have established that insulin resistance (IR) is implicated in atherosclerosis progression, representing a noteworthy risk factor for cardiovascular disease (CVD). Recently, the triglyceride glucose-body mass index (TyG-BMI) has been introduced as a straightforward and robust alternative indicator for early detection of IR. Nevertheless, there is a scarcity of studies that have examined the capability of TyG-BMI for predicting incident CVD. Consequently, the core objective of this study was to determine whether the cumulative average TyG-BMI correlated with CVD incidence.

methodsAll data was sourced from the China Health and Retirement Longitudinal Study (CHARLS). The exposure was the cumulative average TyG-BMI, determined by the average of TyG-BMI values for the baseline and follow-up investigations (Wave 1 in 2011, Wave 3 in 2015, respectively). The calculation of TyG-BMI involved a combination of triglyceride, fasting blood glucose, and body mass index. The primary outcome was incident CVD. Logistic regression analyses as well as restricted cubic spline (RCS) regression analyses were performed for examining the association between the cumulative average TyG-BMI and CVD incidence.

resultsIn all, 5,418 participants were enrolled in our analysis, with 2,904 (53.6%) being female, and a mean (standard deviation, SD) age of 59.6 (8.8) years. The mean (SD) cumulative average TyG-BMI among all participants was 204.9 (35.7). Totally, during a 4-year follow-up, 543 (10.0%) participants developed CVD. The fully adjusted logistic regression analysis revealed a significant association between the cumulative average TyG-BMI and incident CVD [odds ratio (OR), 95% confidence interval (CI): 1.168, 1.040-1.310, per 1 SD increase]. The RCS regression analysis displayed a positive, linear association of the cumulative average TyG-BMI with CVD incidence (P for overall = 0.038, P for nonlinear = 0.436).

conclusionsOur study revealed a noteworthy correlation between the cumulative average TyG-BMI and incident CVD among the middle-aged and older population. The cumulative average TyG-BMI emerges as a valuable tool that may enhance the primary prevention and treatment of CVD.

Indexed as

Cardiovascular DiseasesInsulin ResistanceAgedBody Mass IndexChinaCohort StudiesFemaleGlucoseHumansIncidenceLongitudinal StudiesMaleMiddle AgedProspective StudiesGlucoseCardiovascular diseaseCHARLSInsulin resistanceProspective cohort studyTyG-BMI

Identifiers

PMID38184577
PMCPMC10771655

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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.