Evidence map›Paper›PMID 38880800›Full record

ArticleScientific reports2024

J-shaped association of the triglyceride glucose-body mass index with new-onset diabetes.

Qincheng Qiao, Kai Liang, Chuan Wang, Lingshu Wang, Fei Yan, Li Chen, Xinguo Hou

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

7 authors.

Qincheng QiaoDepartment of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
Kai LiangDepartment of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
Chuan WangDepartment of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
Lingshu WangDepartment of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
Fei YanDepartment of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
Li ChenDepartment of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China. chenli3@email.sdu.edu.cn.ORCID 0000-0001-7670-8062
Xinguo HouDepartment of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China. houxinguo@sdu.edu.cn.ORCID 0000-0003-2045-1290

Funding

Major Basic Research Project of Natural Science Foundation of Shandong Province ZR2020ZD15National Key Research and Development Program of China 2023YFA1801100National Natural Science Foundation of China 82270845
6 · The paper itself

Abstract

The triglyceride glucose-body mass index (TyG-BMI) is a convenient and clinically significant indicator of insulin resistance. This study aims to investigate the correlation between TyG-BMI and the onset of new-onset diabetes and determine an optimal reflection point for TyG-BMI. An analysis was conducted on 1917 participants from the risk evaluation of cancers in Chinese diabetic individuals: a lONgitudinal (REACTION) study. Participants were categorized based on their TyG-BMI, and the relationship between TyG-BMI and the incidence of new-onset diabetes was explored through logistic regression models, smoothed curve fitting with restricted cubic spline, and a two-piecewise logistic regression model. The mean age of the participants was 57.60 ± 8.89 years, with 66.5% being females. The mean TyG-BMI was 223.3 ± 32.8. Ultimately, 137 individuals (7.1%) progressed to diabetes after three years. After adjusting for covariates, TyG-BMI exhibited a positive correlation with new-onset diabetes (odd ratios (OR) for each standard deviation increase = 1.330, 95% CI 1.110-1.595). The relationship between TyG-BMI and new-onset diabetes was non-linear, with a inflcetion point at 202.9. This study reveals a positive non-linear relationship between TyG-BMI and the risk of new-onset diabetes in Chinese middle-aged and elderly individuals. When TyG-BMI exceeds 202.9, there is a significantly heightened risk of new-onset diabetes. These findings offer valuable insights for preventing new-onset diabetes.

Indexed as

Blood GlucoseBody Mass IndexTriglyceridesAgedChinaDiabetes MellitusDiabetes Mellitus, Type 2FemaleHumansIncidenceInsulin ResistanceLongitudinal StudiesMaleMiddle AgedRisk FactorsBlood GlucoseTriglycerides

Identifiers

PMID38880800
PMCPMC11180648

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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.