Evidence map›Paper›PMID 40533754›Full record

ArticleCardiovascular diabetology2025

Associations of different insulin resistance-related indices with the incidence and progression trajectory of cardiometabolic multimorbidity: a prospective cohort study from UK biobank.

Zhenyu Tian, Lu Yang, Yifei Li, Yueqing Huang, Jianmin Yang, Fei Xue

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

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

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14 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.

Zhenyu TianState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Lu YangSecond Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510120, Guangdong, China.
Yifei LiState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Yueqing HuangDepartments of General Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, No. 26 Daoqian Street, Suzhou, 215001, Jiangsu, China. huangyqsz@njmu.edu.cn.
Jianmin YangState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China. yangjianminsdu@163.com.
Fei XueState Key Laboratory for Innovation and Transformation of Luobing Theory, Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China. xuefei93xf@163.com.

Funding

China Postdoctoral Innovation Talents Support Program BX20230210China Postdoctoral Science Foundation 2023M742120China Postdoctoral Science Foundation 2023M742124National Natural Science Foundation of China 82400415Shandong Provincial Postdoctoral Innovation Talents Support Program SDBX202302031
6 · The paper itself

Abstract

backgroundDespite established associations between insulin resistance (IR)-related indices and cardiometabolic diseases (CMDs), most studies are limited to single CMD outcomes. The study aimed to examine the influence of IR-related indices on the incidence, predictive value, and progression trajectory of cardiometabolic multimorbidity (CMM), as well as potential biological mechanisms.

methodsThis prospective study included 374,274 individuals from the UK Biobank who were free of CMDs at baseline. CMM was defined as the presence of two or more CMDs, including type 2 diabetes (T2D), coronary heart disease (CHD), and stroke. Five indices were developed to assess IR levels: triglyceride-glucose (TyG) index, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), TyG-waist-height ratio (TyG-WHtR), and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio. Cox proportional hazards and multi-state models were utilized to examine the associations between IR-related indices and CMM incidence and transition, respectively, with results expressed as hazard ratios (HRs) and 95% confidence intervals (CIs). The predictive utility of these indices was assessed using the net reclassification index (NRI) and integrated discrimination improvement index (IDI). Mediation analyses were conducted to quantify the potential mediating roles of biomarkers.

resultsDuring a mean follow-up period of 13.7 years, 5048 (1.3%) individuals developed CMM. Elevated baseline IR-related indices were associated with higher risks of incident CMM. The HRs (95% CIs) for each 1-standard deviation increase were as follows: 1.30 (1.26-1.34) for the TyG index, 1.42 (1.39-1.46) for the TyG-BMI, 1.54 (1.49-1.59) for the TyG-WC, 1.52 (1.48-1.57) for the TyG-WHtR, and 1.19 (1.17-1.21) for the TG/HDL-C ratio. Besides, TyG-WHtR and TyG-WC exhibited significantly higher NRI and IDI, indicating superior predictive performance for CMM risk. These indices played critical yet distinct roles in the progression of CMM. For transitions from being free of CMDs to single CMDs, these indices had the strongest impact on T2D (all P < 0.001). Participants initially diagnosed with CHD were more likely to progress to CMM when exposed to higher IR-related indices (all P < 0.001). The effect sizes for TyG-WC and TyG-WHtR were greater than those of other indices across all transitions. Mediation analyses revealed that biomarkers associated with liver function, renal function, and inflammation collectively mediated approximately one-third of the associations of the TyG-WHtR and TyG-WC indices with incident CMM.

conclusionsOur findings highlight the critical role of IR-related indices, particularly TyG-WHtR and TyG-WC, in the incidence, progression, and prevention of CMM. The mediation effects of biomarkers indicate the potential for targeted interventions to reduce CMM risk in high-IR individuals.

Indexed as

Coronary DiseaseDiabetes Mellitus, Type 2Insulin ResistanceStrokeAdultAgedBiological Specimen BanksBiomarkersBlood GlucoseCardiometabolic Risk FactorsDisease ProgressionFemaleHumansIncidenceMaleMiddle AgedBiomarkersBlood GlucoseTriglyceridesCardiometabolic multimorbidityDisease trajectoryInsulin resistanceMediationTriglyceride-glucose index

Identifiers

PMID40533754
PMCPMC12175334

What Socratic holds

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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 Socratic graph.