Evidence map›Paper›PMID 40346671›Full record

ArticleCardiovascular diabetology2025

The association between different insulin resistance surrogates and all-cause mortality and cardiovascular mortality in patients with metabolic dysfunction-associated steatotic liver disease.

Xin Gao, Tianyi Chen, Feilong Zhou, Yanmei Sun, Jiaqi Zhang, Xinhao Li, Weijie Zhao, Yunxin Li, Yanlong Shi, Kaiyi Niu and 3 more

Abstract readComparative Study
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 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

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

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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

13 authors.

Xin Gao *Hepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121, Nanjing, Jiangsu Province, China.
Tianyi Chen *Hepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121, Nanjing, Jiangsu Province, China.
Feilong ZhouHepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121, Nanjing, Jiangsu Province, China.
Yanmei SunHepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121, Nanjing, Jiangsu Province, China.
Jiaqi ZhangHepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121, Nanjing, Jiangsu Province, China.
Xinhao LiHepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121, Nanjing, Jiangsu Province, China.
Weijie ZhaoHepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121, Nanjing, Jiangsu Province, China.
Yunxin LiHepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121, Nanjing, Jiangsu Province, China.
Yanlong ShiHepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121, Nanjing, Jiangsu Province, China.
Kaiyi NiuHepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121, Nanjing, Jiangsu Province, China.
Yizhu WangHepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121, Nanjing, Jiangsu Province, China.
Yewei Zhang *Hepatopancreatobiliary Center, The Second Affiliated Hospital of Nanjing Medical University, Jiangjiayuan 121, Nanjing, Jiangsu Province, China. zhangyewei@njmu.edu.cn.
Wei Zhang *Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China. 1307018@zju.edu.cn.

Funding

Jiangsu Province Social Development Project BE2022812National Natural Science Foundation of China 62227803
6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) is closely associated with insulin resistance (IR). However, the prognostic value of different alternative IR surrogates in patients with MASLD remains unclear. This study aimed to evaluate the association between various IR indices and all-cause mortality and cardiovascular mortality in MASLD patients.

methodsA total of 8,753 adults aged ≥ 20 years with MASLD from the National Health and Nutrition Examination Survey (NHANES, 2003-2018) were included, and their mortality data were obtained from the National Death Index (NDI). Insulin resistance surrogates [including the triglyceride-glucose (TyG) index, TyG-body mass index (TyG-BMI), TyG-waist circumference index, TyG-waist-to-height ratio index, and Homeostatic Model Assessment for IR] were stratified into quartiles. Cox proportional hazards models, receiver operating characteristic (ROC) curve analysis, restricted cubic spline (RCS), mediation analyses, and subgroup analyses were used to explore the associations between these indices and all-cause mortality as well as cardiovascular mortality in MASLD patients.

resultsDuring a median follow-up of 98 months, 1,234 deaths were observed, including 409 cardiovascular disease (CVD)-related deaths. In the fully adjusted model, higher quartiles of TyG-related indices were significantly associated with an increased risk of all-cause mortality in MASLD patients. Furthermore, the TyG-BMI index was associated with both all-cause mortality and CVD mortality [all-cause mortality: HR (95% CI) 2.84 (1.73-4.67), P < 0.001; CVD mortality: HR (95% CI) 5.32 (2.26-12.49), P < 0.001]. The RCS analyses indicated a U-shaped relationship between TyG-BMI and mortality, with a threshold value of 270.49. Subgroup analyses demonstrated that TyG-related indices had stronger associations with mortality in elderly MASLD patients.

conclusionsOur findings highlight the prognostic value of IR indices, particularly TyG-BMI index, in predicting all-cause mortality and CVD mortality in MASLD patients.

Indexed as

Blood GlucoseCardiovascular DiseasesFatty LiverInsulin ResistanceTriglyceridesAdultAgedBiomarkersBody Mass IndexCause of DeathCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysBiomarkersBlood GlucoseTriglyceridesAll-cause mortalityCardiovascular disease mortalityInsulin resistanceMetabolic dysfunction-associated steatotic liver disease

Identifiers

PMID40346671
PMCPMC12065324

What Socratic 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 Socratic graph.