Evidence map›Paper›PMID 41639882›Full record

ArticleEuropean journal of medical research2026

Comparing the diagnostic performance of metabolic indices in metabolic dysfunction-associated fatty liver disease patients: a retrospective cross-sectional study.

Ehsan Bahrami Hezaveh, Rana Hashemi, Mohammadamin Noorafrooz, Mohsen Sheikhzadeh, Azin Ebrahimi, Amirhossein Yadegar, Manouchehr Nakhjavani, Alireza Esteghamati, Soghra Rabizadeh

Abstract read
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Article in European journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ehsan Bahrami HezavehEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences, Tehran, Iran.
Rana HashemiEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences, Tehran, Iran.
Mohammadamin NoorafroozEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences, Tehran, Iran.
Mohsen SheikhzadehEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences, Tehran, Iran.
Azin EbrahimiEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences, Tehran, Iran.
Amirhossein YadegarEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences, Tehran, Iran.
Manouchehr NakhjavaniEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences, Tehran, Iran.
Alireza EsteghamatiEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences, Tehran, Iran.
Soghra RabizadehEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences, Tehran, Iran. rabizadeh@tums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated fatty liver disease (MAFLD) has emerged as the leading cause of liver dysfunction and poses a significant risk for progression to cirrhosis. In this study, we aimed to compare the ability of various metabolic indices and identify those most effective for the prediction of MAFLD.

methodsThis cross-sectional study included 1471 patients (69.6% MAFLD) between 2011 and 2024. Specific metabolic indices were calculated. The associations between indices and MAFLD were analyzed via logistic regression analysis and restricted cubic splines. The prediction ability of the indices was evaluated via receiver operating characteristic (ROC) analysis in different subgroups.

resultsTriglyceride glucose (TyG) index, homeostatic model assessment for insulin resistance (HOMA-IR), and estimated glucose disposal rate (eGDR) had the strongest associations with MAFLD (final adjusted ORs for TyG = 3.60, HOMA-IR = 3.35, eGDR = 2.97 per unit change). According to the ROC curve analysis, TyG index and hepatic steatosis index (HSI) had the highest area under the curve (AUC) for the prediction of MAFLD in females (AUC = 0.832) and males (AUC = 0.848), respectively. TyG also performed the best in lean/normal-weight and overweight/obesity individuals, with AUCs of 0.890 and 0.787, respectively. TyG in those ≥ 65 years old (AUC = 0.844) and eGDR in those < 65 years old (AUC = 0.843) had the highest prediction performance for MAFLD.

conclusionInsulin resistance markers, including TyG, HOMA-IR, and eGDR, had the strongest associations with MAFLD. For predicting MAFLD, TyG had the highest performance across all subgroups, except for males and those < 65 years, where HSI and eGDR performed better, respectively.

Indexed as

Estimated glucose disposal rateHomeostatic model assessment for insulin resistanceInsulin resistanceLipidsMetabolicMetabolic dysfunction-associated fatty liver diseaseTriglyceride glucose index

Identifiers

PMID41639882
PMCPMC12879371

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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.