Evidence map›Paper›PMID 39707324›Full record

ArticleLipids in health and disease2024

Association of triglyceride-glucose index and diabesity: evidence from a national longitudinal study.

Fan Zhang, Yan Sun, Yan Bai, Rong Wu, Hua Yang

Abstract read
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

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

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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.

Fan ZhangDepartment of Nephrology A, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yan SunDepartment of Cardiology, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yan BaiDepartment of Nephrology A, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Rong WuDepartment of Nephrology A, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China. wurong3344@126.com.
Hua YangDepartment of Nephrology A, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China. yanghua@longhua.net.

Funding

Shanghai Municipal Health Commission 20224Y0166Shanghai Science and Technology Program 20Y21902500
6 · The paper itself

Abstract

backgroundDiabesity, a co-occurrence of diabetes and obesity, is a growing public health concern globally. The triglyceride-glucose (TyG) index, a surrogate marker of insulin resistance, has been associated with various metabolic disorders. This study aimed to investigate the association between TyG index and new-onset diabesity in a national longitudinal study.

methodsWe utilized data from the China Health and Retirement Longitudinal Study (CHARLS). Baseline data from the first wave (2011) and follow-up data from the third wave (2015) were analyzed. A Competing risks model based on Fine and Gray's subdistribution hazard approach was employed to examine the association between the TyG index and developing of three mutually exclusive outcomes: remaining free of diabetes and obesity, diabetes alone, and new-onset diabesity (co-occurrence of diabetes and obesity).

resultsA total of 6,976 participants were included in the analysis. During a mean follow-up period of 4.0 years, a total of 557 diabetes and 155 diabesity were recorded, respectively. After adjusting for socio-demographic information, lifestyle and comorbidities, compared with participants in the lowest quartile of TyG, the corresponding adjusted subdistribution hazard ratios (HRs) with 95% confidence intervals (95% CIs) for participants in the second, third, and fourth quartiles were 2.112 (95% CI: 1.047-4.259; P-value = 0.037), 2.911 (95% CI: 1.481-5.722, P-value = 0.002), and 4.305 (95% CI: 2.220-8.346, P-value < 0.001). The association between TyG and diabetes alone was equally significant when diabesity treated as the competing risk. Sensitivity analyses proved the robustness of results.

conclusionThis national longitudinal study in China provides evidence that a higher TyG index is associated with an increased risk of developing diabesity.

Indexed as

Blood GlucoseObesityTriglyceridesAgedChinaDiabetes MellitusFemaleHumansInsulin ResistanceLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsBlood GlucoseTriglyceridesDiabesityDiabetesObesityTriglyceride-glucose index

Identifiers

PMID39707324
PMCPMC11660576

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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.