Evidence map›Paper›PMID 41258391›Full record

ArticleScientific reports2025

Association between triglyceride glucose index-related indices with gallbladder disease: a prospective cohort study in rural China.

Minghan Zhang, Jiang Sun, Jie Guo, Zhihao Hou, Shilong Li, Shijie Zhang, Hongwei Zhang, Jiang Li, Xiangwei Wu, Jing Yang and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

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

  1. Pooled it
  2. Review
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.

Minghan Zhang *Department of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, China.
Jiang Sun *Department of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, China.
Jie GuoDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, China.
Zhihao HouDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, China.
Shilong LiDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, China.
Shijie ZhangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, China.
Hongwei ZhangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, China.
Jiang LiDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, China.
Xiangwei WuDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, China.
Jing YangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, China.
Shu-Xia GuoSchool of Medicine, Shihezi University, Shihezi, 832000, China. gsxshzu@sina.com.
Xinyu PengDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, China. pengxinyu2000@sina.com.

Funding

Xinjiang Production and Construction Corps Key Areas Science and Technology Research Project 2018AB022
6 · The paper itself

Abstract

This study aimed to examine the association between the triglyceride-glucose (TyG) index, TyG-BMI index, and gallbladder disease (GBD) among Uyghurs in the Xinjiang Production and Construction Corps (XPCC), offering insights for GBD prevention and management. A prospective cohort design was utilized, enrolling 12,794 Uyghur participants from XPCC. The cumulative GBD incidence across quartiles of TyG, TyG-BMI, and BMI categories was estimated using the Kaplan-Meier method. The Cox proportional hazard regression model assessed the association between TyG, TyG-BMI, and GBD incidence, while mediation analysis investigated TyG's potential mediating role in the relationship between BMI and GBD. Participants had a mean age of 37.68 ± 13.96 years, with 51.30% being male. Over a median follow-up of 6.00 years, 466 new GBD cases were identified, yielding a cumulative incidence of 4.3% and an incidence density of 7.68 per 1000 person-years. Women exhibited a higher cumulative incidence of GBD than men. The incidence of GBD gradually rises in both men and women with the increase of age. When the age exceeds 40, the incidence of GBD increases significantly. Following adjustments for gender, age, educational level, exercise frequency, diabetes, HDL-C, and LDL-C levels, individuals in the Q4 TyG index group demonstrated a significantly elevated GBD risk relative to the Q1 group (HR = 1.34, 95% CI:1.01-1.77). Similarly, GBD risk rose progressively across the Q2, Q3, and Q4 TyG-BMI index groups (HR = 1.97, 95% CI:1.23-3.16), (HR = 2.67, 95% CI:1.70-4.19), and (HR = 4.47, 95% CI:2.88-6.93), respectively. Overweight and obesity were also linked to a markedly greater GBD risk compared to normal weight (HR = 1.52, 95% CI:1.09-2.12) and (HR = 3.01, 95% CI:2.22-4.09). Among Uyghurs in the XPCC, elevated TyG and TyG-BMI indices were strongly associated with GBD risk, with TyG-BMI demonstrating the most pronounced association. Early TyG-BMI monitoring may aid in identifying individuals at high risk of developing GBD.

Indexed as

Blood GlucoseGallbladder DiseasesTriglyceridesAdultBody Mass IndexChinaFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk FactorsRural PopulationBlood GlucoseTriglyceridesCohort studyGallbladder diseaseInsulin resistanceTyG-BMI indexTyG index

Identifiers

PMID41258391
PMCPMC12630876

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.