Evidence mapPaperPMID 40758732Full record

SynthesisPloS one2025

Association of triglyceride glucose-body mass index (TyG-BMI) with metabolic dysfunction-associated steatotic liver disease: A systematic review and meta-analysis.

Yasaman Ghodsi Boushehri, Zahra Meymanatabadi, Ali Ezzatollahi Tanha, Pouria Azami, Maryam Alaei, Amir Ali Alamdari, Hooman Momtazi, Nasrin Deilami Moezzi, Amirhossein Habibzadeh, Shaghayegh Khanmohammadi

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. 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

10 authors.

Yasaman Ghodsi BoushehriSchool of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Zahra MeymanatabadiSchool of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.
Ali Ezzatollahi TanhaSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Pouria AzamiSchool of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Maryam AlaeiSchool of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Amir Ali AlamdariSchool of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hooman MomtaziSchool of Dentistry, Islamic Azad University of Medical Sciences, Tehran, Iran.
Nasrin Deilami MoezziDepartment of Clinical Biochemistry, School of Pharmacy & Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran.
Amirhossein HabibzadehSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Shaghayegh KhanmohammadiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-8732-0191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTyG-BMI has been proposed as a marker of insulin resistance in metabolic-associated fatty liver disease, but its clinical utility remains uncertain. This study aims to evaluate the association between TyG-BMI and metabolic dysfunction-associated steatotic liver disease (MASLD) through a systematic review and meta-analysis, focusing on the diagnostic performance across different subgroups.

methodsA comprehensive literature search was conducted in PubMed, Scopus, Embase, and Web of Science up to January 20, 2025. Studies evaluating the relationship between TyG-BMI and MASLD in adults were included. A random-effects model was employed to pool effect sizes, and subgroup analyses were conducted based on sex, disease definition, and population type.

resultsThirty-five studies with 339,087 participants were included. The pooled mean difference for TyG-BMI between MASLD and non-MASLD groups was 42.72 (95% CI: 35.93-49.51; p < 0.0001). Subgroup analysis revealed higher mean differences in the metabolic-associated fatty liver disease (MAFLD) group (49.56, 95% CI: 39.38-59.74) compared to non-alcoholic fatty liver disease ase (NAFLD) (34.68, 95% CI: 28.45-40.91). The odds ratio per one-unit increment of the TyG-BMI was 1.05 (95% CI: 1.03-1.08). Sensitivity for TyG-BMI in diagnosing MASLD was 0.79 (95% CI: 0.73-0.84), and specificity was 0.76 (95% CI: 0.71-0.80). The pooled area under the curve (AUC) for TyG-BMI was 0.83 (95% CI: 0.81-0.86), with better performance in females (0.88) compared to males (0.83). Subgroup analysis by disease definition showed a higher AUC for MAFLD (0.87) compared to NAFLD (0.81).

conclusionTyG-BMI is a promising diagnostic marker for MASLD, with higher diagnostic performance in MAFLD and among females. Further studies are needed to confirm these findings in diverse populations.

Indexed as

Blood GlucoseBody Mass IndexFatty LiverNon-alcoholic Fatty Liver DiseaseTriglyceridesBiomarkersFemaleHumansInsulin ResistanceMaleBiomarkersBlood GlucoseTriglycerides

Identifiers

PMID40758732
PMCPMC12321072

What Socratic holds

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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.