Evidence map›Paper›PMID 42223907›Full record

ArticleJournal of endocrinological investigation2026

Differential associations of traditional and shape-based adiposity indices with steatosis and fibrosis risk in metabolic dysfunction-associated steatotic liver disease.

Giulio Geraci, Valentina Paternò, Alessandro Vitello, Marcello Maida, Federico Bonomo, Samuele Sanfilippo, Simone Argento, Carlo Maida, Giuliano Cassataro, Roberto Baratta and 6 more

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Article in Journal of endocrinological investigation, 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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2 · The registry

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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

16 authors.

Giulio Geraci *Department of Medicine and Surgery, "Kore" University of Enna, Enna, Italy.
Valentina Paternò *Unit of Internal Medicine, "Umberto I" Hospital, Enna, Italy.
Alessandro VitelloDepartment of Medicine and Surgery, "Kore" University of Enna, Enna, Italy.
Marcello MaidaDepartment of Medicine and Surgery, "Kore" University of Enna, Enna, Italy.
Federico BonomoGastroenterology Unit, "Umberto I" Hospital, Enna, Italy.
Samuele SanfilippoDepartment of Medicine and Surgery, "Kore" University of Enna, Enna, Italy.
Simone ArgentoUnit of Internal Medicine, "Umberto I" Hospital, Enna, Italy.
Carlo MaidaUnit of Internal Medicine, "S. Elia" Hospital, Caltanissetta, Italy.
Giuliano CassataroDepartment of Medicine and Pulmonology, Fondazione Istituto "G. Giglio", Cefalù, Italy.
Roberto BarattaEndocrinology Unit, ARNAS (Azienda di Rilievo Nazionale e di Alta Specializzazione - National High-Specialty Healthcare Trust) Garibaldi Hospital, Catania, Italy.
Gabriele CostanzoEndocrinology Unit, Azienda Sanitaria Provinciale of Catania (ASP Catania), Catania, Italy.
Francesco PallottiDepartment of Medicine and Surgery, "Kore" University of Enna, Enna, Italy.
Calogero GeraciCardiology Unit, Azienda Sanitaria Provinciale of Caltanissetta (ASP Caltanissetta), Caltanissetta, Italy.
Roberta EspositoDepartment of Clinical Medicine and Surgery, Federico II University Hospital, Naples, Italy.
Riccardo PolosaDepartment of Medicine and Surgery, "Kore" University of Enna, Enna, Italy.
Pietro FerraraCenter for Public Health Research, University of Milan-Bicocca, Via Cadore 48 - U38 Building Monza I, Monza, 20900, Italy. pietro.ferrara@unimib.it.ORCID http://orcid.org/0000-0002-0349-3221

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional anthropometric indices reflect total body adiposity, whereas novel shape-based indices capture fat distribution and unfavorable adiposity. How these measures relate to hepatic steatosis and fibrosis risk across the spectrum of metabolic dysfunction-associated steatotic liver disease (MASLD) remains unclear.

methodsIn this cross-sectional study, 222 patients with MASLD were included. Body mass index (BMI), waist circumference (WC), a body shape index (ABSI) and body roundness index (BRI) were evaluated. Hepatic steatosis was assessed by ultrasonography using the Bright Liver Echo Pattern (BLEP), while fibrosis risk was estimated using the Fibrosis-4 (FIB-4) index.

resultsBMI, WC, and BRI were higher in individuals with moderate-to-severe hepatic steatosis (BLEP ≥ 2), whereas ABSI did not differ according to steatosis severity. In multivariable logistic regression, BMI was independently associated with BLEP ≥ 2 (OR 1.19; 95% CI 1.05-1.35; p = 0.006), together with fasting glucose. ABSI showed a positive correlation with FIB-4 (r = 0.248; p < 0.001), whereas BMI did not. In multivariable linear regression, ABSI remained independently associated with FIB-4 (β = 0.145; p = 0.017), while BMI and BRI were not. Receiver operating characteristic analyses showed that BMI and WC best discriminated moderate-to-severe steatosis, whereas ABSI demonstrated the highest accuracy for identifying advanced fibrosis risk (FIB-4 ≥ 2.67; AUC 0.714; p = 0.004).

conclusionsTraditional and shape-based anthropometric indices capture complementary aspects of MASLD. Integrating measures of total adiposity and body shape may improve risk stratification in MASLD, although findings require confirmation using direct measures of liver fibrosis.

Indexed as

AdiposityFatty LiverLiver CirrhosisMetabolic DiseasesAdultBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrognosisRisk FactorsWaist CircumferenceAnthropometric indicesFibrosis stratificationHepatic steatosisMASLDMetabolic dysfunctionObesity

Identifiers

PMID42223907
PMCPMC13498627

What Socratic holds

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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.