Evidence map›Paper›PMID 40128689›Full record

ArticleBMC gastroenterology2025

Validation of the diagnostic accuracy of the acFibroMASH index for at-risk MASH in patients with metabolic dysfunction-associated steatotic liver disease.

Yunfei Wu, Yan Han, Liming Zheng, Longgen Liu, Wenjian Li, Fan Zhang

Abstract readValidation Study
In one paragraph

Article in BMC gastroenterology, 2025. 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

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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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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

6 authors.

Yunfei Wu *Department of Pathology, Changzhou Third People's Hospital, Changzhou, 213001, China.
Yan Han *Department of Endocrinology, Changzhou Third People's Hospital, Changzhou, 213001, China.
Liming ZhengClinical Laboratory, Changzhou Third People's Hospital, Changzhou, 213001, China.
Longgen LiuDepartment of Liver Diseases, Changzhou Third People's Hospital, Changzhou, 213001, China.
Wenjian LiDepartment of Urology, Changzhou Third People's Hospital, Changzhou, 213001, China. bolite@163.com.
Fan ZhangDepartment of Endocrinology, Changzhou Third People's Hospital, Changzhou, 213001, China. yifan52518@163.com.

Funding

Changzhou Municipal Science and Technology Bureau CJ20243023Changzhou Third People's Hospital Key Talents Project
6 · The paper itself

Abstract

objectiveThe objective of this study was to validate the diagnostic accuracy of the acFibroMASH index in a population of metabolic dysfunction-associated steatotic liver disease (MASLD) patients with at-risk metabolic dysfunction-associated steatohepatitis (MASH) and to compare it with other scoring systems.

methods394 patients with biopsy-proven MASLD were retrospectively enrolled. The patients were divided into the at-risk MASH (NAFLD activity score ≥ 4 and significant fibrosis) group (n = 103) and the non-at-risk MASH group (n = 291). The diagnostic performance of the acFibroMASH index was compared to that of fibroScan-aspartate aminotransferase (FAST) and other noninvasive fibrosis scores by plotting the receiver operating characteristic curve (ROC), including the area under the curve (AUC), sensitivity, and specificity. Cut-offs of the acFibroMASH index for sensitivity (≥ 0.90) and specificity (≥ 0.90) were obtained in our cohort.

resultsThe AUC of the acFibroMASH index in assessing at-risk MASH was 0.780, while the AUC of FAST was 0.770. The comparison of acFibroMASH with FAST showed no significant difference (P = 0.542). When the cut-off value for acFibroMASH was < 0.15, 95.5% of at-risk MASH patients could be excluded in 89 patients correctly. Conversely, when the cut-off value was set at > 0.39, 49.3% of at-risk MASH patients could be diagnosed in 140 patients correctly. When the NPV was set at 0.900, the critical value for exclusion was determined to be 0.23, with a sensitivity of 0.835 and a specificity of 0.526.

conclusionThis study validated the efficacy of the acFibroMASH index in predicting at-risk MASH in a population of MASLD patients, demonstrating comparable performance to that of the FAST. The acFibroMASH index may provide a valuable clinical basis for screening and identifying at-risk MASH in primary care settings.

Indexed as

Fatty LiverNon-alcoholic Fatty Liver DiseaseAdultAgedArea Under CurveAspartate AminotransferasesElasticity Imaging TechniquesFemaleHumansLiver CirrhosisMaleMiddle AgedRetrospective StudiesROC CurveSensitivity and SpecificitySeverity of Illness IndexAspartate AminotransferasesAcFibroMASH indexAt-risk MASHLiver biopsyMetabolic dysfunction-associated steatotic liver diseaseSignificant liver fibrosis

Identifiers

PMID40128689
PMCPMC11931867

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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.