Evidence map›Paper›PMID 38760802›Full record

Observational studyBiology of sex differences2024

Fatty Liver Index (FLI) is the best score to predict MASLD with 50% lower cut-off value in women than in men.

Lucilla Crudele, Carlo De Matteis, Fabio Novielli, Ersilia Di Buduo, Stefano Petruzzelli, Alessia De Giorgi, Gianfranco Antonica, Elsa Berardi, Antonio Moschetta

Abstract readObservational Study
In one paragraph

Observational study in Biology of sex differences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

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

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  13. Subtype-specific associations of steatotic liver disease with gastric and esophageal cancers: a nationwide cohort study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
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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

9 authors.

Lucilla Crudele *Department of Interdisciplinary Medicine, University of Bari "Aldo Moro", Piazza Giulio Cesare N. 11, 70124, Bari, Italy.
Carlo De Matteis *Department of Interdisciplinary Medicine, University of Bari "Aldo Moro", Piazza Giulio Cesare N. 11, 70124, Bari, Italy.
Fabio NovielliDepartment of Interdisciplinary Medicine, University of Bari "Aldo Moro", Piazza Giulio Cesare N. 11, 70124, Bari, Italy.
Ersilia Di BuduoDepartment of Interdisciplinary Medicine, University of Bari "Aldo Moro", Piazza Giulio Cesare N. 11, 70124, Bari, Italy.
Stefano PetruzzelliDepartment of Interdisciplinary Medicine, University of Bari "Aldo Moro", Piazza Giulio Cesare N. 11, 70124, Bari, Italy.
Alessia De GiorgiDepartment of Interdisciplinary Medicine, University of Bari "Aldo Moro", Piazza Giulio Cesare N. 11, 70124, Bari, Italy.
Gianfranco AntonicaDepartment of Interdisciplinary Medicine, University of Bari "Aldo Moro", Piazza Giulio Cesare N. 11, 70124, Bari, Italy.
Elsa BerardiDepartment of Interdisciplinary Medicine, University of Bari "Aldo Moro", Piazza Giulio Cesare N. 11, 70124, Bari, Italy.
Antonio MoschettaDepartment of Interdisciplinary Medicine, University of Bari "Aldo Moro", Piazza Giulio Cesare N. 11, 70124, Bari, Italy. antonio.moschetta@uniba.it.ORCID 0000-0003-2123-6074

Funding

Fondazione AIRC per la ricerca sul cancro ETS AIRC IG 2019 Id. 23239 "Regulation of lipid metabolic pathways in the gut liver axis: relevance in hepatocarcinoma"Ministero dell'Istruzione, dell'Università e della Ricerca MIUR- PRIN Progetti di Ricerca di Rilevante Interesse Nazionale 2022. "Metabolic hits in the road to colon cancer". Codice progetto n. 2022H9MPZ5Ministero dell'Università e della Ricerca Concession Decree No. 1243 of 2 August 2022 adopted by the Italian Ministry of UniversityMinistero dell'Università e della Ricerca Concession Decree No. 1550 of 11 October 2022 adopted by the Italian Ministry of UniversityMinistero dell'Università e della Ricerca CUP D93C22000890001Ministero dell'Università e della Ricerca CUP H33C22000680006Ministero dell'Università e della Ricerca CUP H93C22000430007Ministero dell'Università e della Ricerca Project code: CN00000041Ministero dell'Università e della Ricerca Project code PE00000003Ministero dell'Università e della Ricerca Project code PE0000015Ministero dell'Università e della Ricerca Project code PNRR-MR1-2022-12376395. CUP H93C22000780006Ministero dell'Università e della Ricerca Research
6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) is defined by the presence of hepatic steatosis, detected on ultrasonography (US) imaging or histology, and at least one of criteria for Metabolic Syndrome diagnosis. Simple non-invasive tests (NITs) have been proposed as an acceptable alternative when US and biopsy are not available or feasible but have not been validated for MASLD. In this observational study, we investigated the reliability of NITs for MASLD detection and whether sex-differences in screening methods should be considered.

methodsWe included 1069 individuals (48% males and 52% females) who underwent their first clinical examination for Metabolic Syndrome in the period between January 2015 and December 2022. Liver steatosis was detected through US and anthropometric and clinical parameters were recorded.

resultsLiver steatosis was detected in 648 patients and MASLD was diagnosed in 630 subjects (355 males; 275 females). Women with MASLD showed better metabolic profile and lower prevalence of Metabolic Syndrome criteria than men. Among NITs, Fatty Liver Index (FLI) showed the best ability for detection of MASLD, with a cut-off value of 44 (AUC = 0.82). When considering the two sexes for MASLD detection via FLI, despite no substantial differences regarding FLI correlations with metabolic biomarkers except for age, women showed marked lower FLI cut-off value (32; AUC = 0.80) than men (60; AUC = 0.80).

conclusionsIn this study, we found that FLI is the best non-invasive predictor of both liver steatosis and MASLD. The finding that in women FLI cut-off value for MASLD detection is 50% lower than in men suggests the need of a sex-specific personalized program of screening and prevention of dysmetabolism-related liver diseases, despite outwardly healthy biomarkers profile.

Indexed as

Fatty LiverSex CharacteristicsAdultAgedFemaleHumansMaleMetabolic SyndromeMiddle AgedUltrasonographyGender differenceGut-liver axisLiver steatosisMASLDMetabolismNon-invasive tests

Identifiers

PMID38760802
PMCPMC11100212

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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 OpenQuestion graph.