Evidence map›Paper›PMID 40074727›Full record

ArticleScientific reports2025

Predicting hepatic steatosis degree in metabolic dysfunction-associated steatotic liver disease using obesity and lipid-related indices.

Paniz Forouzesh, Sorayya Kheirouri, Mohammad Alizadeh

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

3 authors.

Paniz ForouzeshDepartment of Nutrition, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Attar Nishabouri St., Tabriz, 5166614711, Iran. paniz75forouzesh@gmail.com.
Sorayya KheirouriDepartment of Nutrition, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Attar Nishabouri St., Tabriz, 5166614711, Iran.
Mohammad AlizadehDepartment of Nutrition, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Attar Nishabouri St., Tabriz, 5166614711, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as nonalcoholic fatty liver disease, represents a prevalent condition ranging from simple steatosis to advanced stages associated with liver cancer. Asymptomatic presentation in the majority of cases underscores the need for non-invasive, cost-effective methods to stratify degree of hepatic steatosis. This cross-sectional study aimed to assess the association between obesity and lipid-related indices with the degree of hepatic steatosis in MASLD patients. 150 individuals recently diagnosed with metabolic dysfunction-associated steatotic liver disease were recruited. Anthropometric measurements, including weight, height, and waist circumference (WC), were taken, alongside biochemical parameters such as alanine aminotransferase, aspartate aminotransferase, total cholesterol, triglycerides (TG), high-density lipoprotein, low-density lipoprotein, and fasting plasma glucose, following a 12-h fasting period. Various indicators of obesity and lipid metabolism, including body mass index, waist-to-height ratio (WHtR), a body shape index, lipid accumulation product (LAP), triglyceride-glucose index (TyG), visceral adiposity index, and hepatic steatosis index (HSI), were calculated. The diagnosis of MASLD and degree of hepatic steatosis were established through abdominal ultrasound examination. Data analysis was performed utilizing SPSS version 22. All the investigated indices displayed an area under the curve (AUC) surpassing 0.5, implying a correlation with the degree of hepatic steatosis. Notably, TyG-WC, TyG-WHtR, LAP, and a cardiometabolic obesity index showed the highest AUC values (> 0.7), indicating a relatively strong association with degree of hepatic steatosis. Specifically, in females, TyG-WC (AUC = 0.797, 95% CI 0.712-0.882, threshold = 865.991), while in males, LAP (AUC = 0.746, 95% CI 0.593-0.899, threshold = 74.290), demonstrated the highest AUC values. TyG-WHtR, TyG-WC, and LAP exhibited significant correlations with the degree of hepatic steatosis. Given their non-invasive nature and easy measurement, they hold promise for potential clinical utility, pending validation in additional studies.

Indexed as

Fatty LiverLipid MetabolismLipidsNon-alcoholic Fatty Liver DiseaseObesityAdultAgedBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedROC CurveTriglyceridesWaist CircumferenceLipidsTriglyceridesHepatic SteatosisLipid-related indicesMetabolic dysfunction-associated steatotic liver diseaseNon-alcoholic fatty liver diseaseObesity

Identifiers

PMID40074727
PMCPMC11904216

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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.