Evidence map›Paper›PMID 39644177›Full record

ArticleJournal of gastroenterology and hepatology2025

Association Between Triglyceride-Glucose Index and Risk of Gallstone Disease: A Prospective Cohort Study of 395 391 Individuals.

Hongyu Li, Guoheng Jiang, Wenqian Yu, Jing Luo, Shiyi Li, Linjun Xie, Xuan Bai, Yiting Xu, Yi Jiang, Menglin He and 2 more

Abstract read
In one paragraph

Article in Journal of gastroenterology and hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

12 authors.

Hongyu LiDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0009-0006-7673-5443
Guoheng JiangDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Wenqian YuDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Jing LuoDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Shiyi LiDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Linjun XieDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Xuan BaiDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Yiting XuDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Yi JiangDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Menglin HeDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Jin ZhouDepartment of Anorectal Surgery, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Xin WangDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0001-9325-3194

Funding

"From 0 to 1" Innovation Project, Sichuan University 2023SCUH0026Medical Youth Innovation research project of Sichuan Province Q21016National Natural Science Foundation of China 81903398Natural Science Foundation of Sichuan 2023NSFSC1927Sichuan Provincial Science and Technology Department 2023 Central Guide Local Project 2023ZYD0097The research start-up fund for the introduction of talents of Sichuan University YJ2021112
6 · The paper itself

Abstract

objectiveGallstone disease (GSD) is one of the widespread gastrointestinal conditions. Triglyceride-glucose (TyG) index, a convenient surrogate for insulin resistance, may help identify and prevent gallstones. The present study aims to conduct a longitudinal study to evaluate the association between TyG index and the risk of GSD using the UK Biobank cohort.

methodA total of 395 391 participants in the UK Biobank (median follow-up of 12.52 years) were included. The association between TyG index and the risk of GSD was assessed through Cox models and the restricted cubic spline model, expressed by hazard ratios (HRs) and 95% confidence intervals (CIs). Subgroup analysis was employed concerning age, gender, and body mass index (BMI) and also analyzed the mediating role of BMI in the effect of TyG index on incident GSD. Sensitivity analyses were further performed using a competing risks model and excluding participants who developed GSD in the first year of follow-up to test the stability of the results.

resultsThe risk of developing GSD increased in the Quartiles 2, 3, and 4 compared with Quartile 1 of TyG index (adjusted HR [aHR] 1.570 [95%CI 1.303-1.893], 1.577 [1.295-1.920], 1.489 [1.181-1.878], P

conclusionsIncreased TyG index is associated with an elevated risk of GSD. The TyG index might be an important indicator for identifying people at high risk of GSD.

Indexed as

Blood GlucoseGallstonesTriglyceridesAdultAgedBiomarkersBody Mass IndexFemaleFollow-Up StudiesHumansIncidenceInsulin ResistanceLongitudinal StudiesMaleMiddle AgedProspective StudiesBiomarkersBlood GlucoseTriglyceridesgallstone diseaseinsulin resistancetriglyceride‐glucose indexUK biobank

Identifiers

PMID39644177
PMCPMC11807791

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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.