Evidence map›Paper›PMID 40419407›Full record

ArticleAsia Pacific journal of clinical nutrition2025

Role of TyG, TyG-BMI and METS-IR in osteoporosis risk among older men: a retrospective cohort study.

Jing Zeng, Ting Li, Zimo Pan, Qianqian Liu, Jinfu He, Xiaoyan Cai, Meiliang Gong, Xinli Deng, Yanping Gong, Nan Li and 1 more

Abstract read
In one paragraph

Article in Asia Pacific journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Jing Zeng *Department of Endocrinology, the Second Medical Center and National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China.
Ting Li *Department of Endocrinology, the Second Medical Center and National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China.
Zimo PanDepartment of Endocrinology, the Second Medical Center and National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China.
Qianqian LiuDepartment of Endocrinology, the Second Medical Center and National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China.
Jinfu HeDepartment of Endocrinology, the Second Medical Center and National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China.
Xiaoyan CaiDepartment of Nephrology, the Second Medical Center and National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China.
Meiliang GongDepartment of Clinical Laboratory, the Second Medical Center and National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China.
Xinli DengDepartment of Clinical Laboratory, the Second Medical Center and National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China.
Yanping GongDepartment of Endocrinology, the Second Medical Center and National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China.
Nan LiDepartment of Endocrinology, the Second Medical Center and National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China. Email: wsln_may07@163.com.
Chunlin LiDepartment of Endocrinology, the Second Medical Center and National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China. Email: lichunlin@301hospital.com.cn.

Funding

Beijing Nova program 20220484020Multi-center RCT Clinical Project of the National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital NCRCG-PLAGH-2023001
6 · The paper itself

Abstract

BACKGROUND AND

objectivesObese and diabetic individuals tend to have insulin resistance, but are less like-ly to develop osteoporosis. The association of triglyceride-glucose (TyG) related indices with osteoporosis remains controversial, and longitudinal evidence exploring the male osteoporosis (MOP) is limited. This study aims to examine TyG, TyG-body mass index (TyG-BMI) and the metabolic score for insulin resistance (METS-IR) with osteoporosis risk among older men. METHODS AND STUDY

designA cohort study based on 1622 middle-aged and older men in 2015 was conducted, and followed up until 2022. Participants with oste-oporosis and admittedly secondary risk factors were excluded. TyG, TyG-BMI, METS-IR and corresponding quantiles were calculated. Cox proportional hazard regression models were used to assess the hazard ratios (HRs) and 95% confidence interval (CI). Receiver operating characteristic (ROC) curve was applied to estimate their performance in osteoporosis screening.

results72 of 1622 participants were newly developed OP during the 9317 person-years. The adjusted HRs of TyG, TyG-BMI, and METS-IR for MOP were 0.573 (95%CI 0.336-0.976), 0.991 (95%CI 0.984-0.999) and 0.929 (95%CI 0.892-0.968), respectively, and pre-sented at linear dose-response relationships. Subgroup analysis showed that the estimated benefit for MOP incidence was consistent among participants aged more than 70 years and related to BMI and eating mount of milk, fresh fruit and vegetables. No difference was found in the area under ROC curve for screening osteo-porosis, ranging from 0.585 to 0.617.

conclusionsTyG and relevant indices were associated with the inci-dence of osteoporosis in the senile men, and the relationship was thought to correlate with BMI and nutritional behaviors.

Indexed as

Blood GlucoseBody Mass IndexInsulin ResistanceOsteoporosisTriglyceridesAgedCohort StudiesHumansMaleMiddle AgedRetrospective StudiesRisk FactorsBlood GlucoseTriglyceridescohort studymale osteoporosisold peopleTyGTyG-BMI

Identifiers

PMID40419407
PMCPMC12126297

What Socratic holds

Textmetadata
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Registered trials

None linked

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 Socratic graph.