Evidence map›Paper›PMID 34488806›Full record

ArticleLipids in health and disease2021

Triglyceride glucose-body mass index and the risk of diabetes: a general population-based cohort study.

Xiaoyu Wang, Jingdong Liu, Zongyou Cheng, Yanjia Zhong, Xiaohua Chen, Wei Song

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lipids in health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 1 pooled it
15.2field-weighted citation impact, top 1% of its field
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

95 citing papers in PubMed, 1 synthesis or guideline pooled it, 149 citations in OpenAlex.

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35 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

6 authors at 2 institutions in 1 country.

Xiaoyu WangDepartment of Endocrinology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, 330006, Nanchang, Jiangxi Province, China.
Jingdong LiuDepartment of Endocrinology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, 330006, Nanchang, Jiangxi Province, China.
Zongyou ChengDepartment of Endocrinology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, 330006, Nanchang, Jiangxi Province, China.
Yanjia ZhongDepartment of Endocrinology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, 330006, Nanchang, Jiangxi Province, China.
Xiaohua ChenDepartment of Endocrinology, Yihuang County People's Hospital, 344400, Fuzhou, Jiangxi Province, China.
Wei SongDepartment of Endocrinology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, 330006, Nanchang, Jiangxi Province, China. songweivivi@yeah.net.ORCID http://orcid.org/0000-0002-8370-776X
Nanchang University · CNJiangxi Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriglyceride glucose-body mass index (TyG-BMI) has been proven to be a reliable substitute for insulin resistance. However, whether a causal association exists between TyG-BMI and new-onset diabetes remains uncertain. The purpose of this study was to investigate the causal association and predictive performance between TyG-BMI and diabetes.

methodsA total of 116,661 subjects who underwent a physical examination were included in this study. The subjects were divided into five equal points according to the quintile of TyG-BMI, and the outcome of interest was the occurrence of diabetic events. TyG-BMI = ln [fasting plasma glucose (mg/dL) × fasting triglycerides (mg/dL)/2] × BMI.

resultsDuring the average follow-up period of 3.1 (0.95) years, 1888 men (1.61 %) and 793 women (0.68 %) were newly diagnosed with diabetes. Multivariate Cox regression analysis showed that TyG-BMI was an independent predictor of new-onset diabetes (HR 1.50 per SD increase, 95 %CI: 1.40 to 1.60, P-trend < 0.00001), and the best TyG-BMI cutoff value for predicting new-onset diabetes was 213.2966 (area under the curve 0.7741, sensitivity 72.51 %, specificity 69.54 %). Additionally, the results of subgroup analysis suggested that the risk of TyG-BMI-related diabetes in young and middle-aged people was significantly higher than that in middle-aged and elderly people, and the risk of TyG-BMI-related diabetes in non-obese people was significantly higher than that in overweight and obese people (P for interaction < 0.05).

conclusionsThis cohort study of the Chinese population shows that after excluding other confounding factors, there is a causal association of TyG-BMI with diabetes, and this independent association is more obvious in young, middle-aged and non-obese people.

Indexed as

Body Mass IndexAdultAgedAge FactorsArea Under CurveBlood GlucoseChinaCohort StudiesDiabetes MellitusFastingFemaleHumansIncidenceMaleMiddle AgedOdds RatioBlood GlucoseTriglyceridesCohort studyDiabetesRisk factorsTriglyceride glucose-body mass indexTyG-BMI

Identifiers

PMID34488806
PMCPMC8420033
OpenAlexW3197619848

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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.