Evidence map›Paper›PMID 40895817›Full record

ArticleJournal of clinical & translational endocrinology2025

Relationships of triglyceride-glucose index and body mass index with 5-year all-cause mortality in patients with diabetes and comorbid hypertension: Evidence from two prospective cohort studies.

Yilu Liu, Hongzhao You, Yingxuan Zhu, Fang Luo, Yanyan Zhao, Dingyue Zhang, Ying Xiao, Shijie You, Rui Zhang, Yingdong Han and 5 more

Abstract read
In one paragraph

Article in Journal of clinical & translational endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

15 authors.

Yilu LiuFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hongzhao YouFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yingxuan ZhuMedical Research and Biometrics Centre, National Centre for Cardiovascular Diseases, Beijing, China.
Fang LuoFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yanyan ZhaoMedical Research and Biometrics Centre, National Centre for Cardiovascular Diseases, Beijing, China.
Dingyue ZhangDepartment of Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ying XiaoFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shijie YouFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Rui ZhangFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yingdong HanDepartment of Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jing LiDepartment of Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shouling WuDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Jiansong YuanFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shuohua ChenDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Weixian YangFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To characterize the complex relationships of body mass index (BMI) and triglyceride-glucose index (TyG) with 5-year all-cause mortality in patients with diabetes mellitus and comorbid hypertension. Methods: Overall, 5,728 patients from the 1999-2014 US National Health and Nutrition Examination Survey (NHANES) cycles and 3,456 from the 2005-2010 China Kailuan cycles were included. TyG was calculated as the logarithmic product of the fasting triglyceride and glucose concentrations. Results: The prevalence of 5-year all-cause mortality was 8.4 % in the NHANES population and 9.2 % in the Kailuan cohort. TyG mediated the association between BMI and all-cause mortality, being responsible for 38.4 % in the NHANES database and 41.6 % in the Kailuan cohort. Significant multiplicative effects were identified between TyG and BMI, which were closer for patients with high BMI. When stratified by BMI and TyG, high-risk subgroups were identified and had higher risks of all-cause mortality than the intermediate- and low-risk subgroups (both log-rank Conclusions: TyG mediated a considerable proportion of the effect of BMI on all-cause mortality in patients with diabetes and hypertension. The combination of BMI and TyG could be useful for the risk stratification of all-cause mortality. Measures aimed at weight loss might reduce the all-cause mortality risk associated with insulin resistance.

Indexed as

All-cause mortalityBody mass indexCohort studyDiabetes mellitusHypertensionTriglyceride–glucose index

Identifiers

PMID40895817
PMCPMC12397814

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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.