Evidence map›Paper›PMID 42544103›Full record

ArticleCureus2026

Comparative Epidemiological and Metabolic Profiling in Alcoholic Versus Metabolic Dysfunction-Associated Steatotic Liver Disease: A Western India Cross-Sectional Analysis.

Sushant S Dhanavade, Mandakini S Kshirsagar, Axita C Vani

Abstract read
In one paragraph

Article in Cureus, 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

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Sushant S DhanavadeBiochemistry, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, IND.
Mandakini S KshirsagarBiochemistry, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, IND.
Axita C VaniBiochemistry, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe global burden of steatotic liver disease is escalating, with alcoholic liver disease (ALD) and metabolic dysfunction‑associated steatotic liver disease (MASLD) representing distinct etiological pathways. Recent nomenclature changes and evolving epidemiology necessitate contemporary comparative analyses, particularly in understudied populations such as India. This study aimed to characterize and compare the demographic, anthropometric, and metabolic profiles of patients with alcoholic fatty liver disease (AFLD) and MASLD in Western India.

methodsA hospital‑based analytical cross‑sectional study was conducted from June 2023 to December 2024. Participants were stratified into three groups: AFLD (n=30), MASLD (n=30), and healthy controls (n=30). Sex distribution was comparable across groups, but age was not formally matched; instead, age was included as a covariate in regression analyses to adjust for potential confounding. Diagnosis was ultrasonographically confirmed. Comprehensive clinical data, including metabolic comorbidities, were analyzed using analysis of variance (ANOVA), chi‑square tests, and binary logistic regression (SPSS v25.0, released 2017; IBM Corp., Armonk, New York, United States, α=0.05).

resultsSignificant inter‑group differences emerged: Patients with MASLD presented younger (45.1±9.8 years) versus AFLD (52.5±10.2 years, p=0.032). Both groups exhibited obesity (body mass index (BMI): AFLD 31.2±3.5 kg/m², MASLD 32.8±4.1 kg/m², p<0.001 versus controls 24.5±2.8 kg/m²). Metabolic comorbidities clustered differently: diabetes prevalence was 46.7% (14/30) in MASLD versus 40.0% (12/30) in AFLD (p=0.002 versus controls). Hypertension affected 53.3% (16/30) of patients with MASLD and 50.0% (15/30) of patients with AFLD (p=0.005). Dyslipidemia prevalence was comparable (AFLD 60.0% (18/30), MASLD 60.0% (18/30), p<0.001 versus controls). Patients with AFLD reported a mean alcohol consumption of 65.7±22.1 g/day.

conclusionMASLD manifests earlier with dense metabolic clustering, while AFLD presents later with significant alcohol exposure. These distinct phenotypes suggest divergent pathogenic trajectories requiring tailored screening and management. The high metabolic burden in AFLD underscores overlapping etiologies and potential synergistic hepatotoxicity.

Indexed as

alcoholic liver diseasecomorbidityepidemiologyindiamasldmetabolic syndrome

Identifiers

PMID42544103
PMCPMC13428672

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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.