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dc.contributor.authorMozes, Ferenc E.
dc.contributor.authorLee, Jenny A.
dc.contributor.authorVali, Yasaman
dc.contributor.authorSelvaraj, Emmanuel A.
dc.contributor.authorJayaswal, Arjun N. A.
dc.contributor.authorBoursier, Jerome
dc.contributor.authorde Ledinghen, Victor
dc.contributor.authorLupsor-Platon, Monica
dc.contributor.authorYılmaz, Yusuf
dc.contributor.authorChan, Wah-Kheong
dc.contributor.authorMahadeva, Sanjiv
dc.contributor.authorKarlas, Thomas
dc.contributor.authorWiegand, Johannes
dc.contributor.authorTsochatzis, Emmanouil
dc.contributor.authorLiguori, Antonio
dc.contributor.authorWong, Vincent Wai-Sun
dc.contributor.authorLee, Dae Ho
dc.contributor.authorHolleboom, Adriaan G.
dc.contributor.authorvan Dijk, Anne-Marieke
dc.contributor.authorMak, Anne Linde
dc.contributor.authorHagstroem, Hannes
dc.contributor.authorAkbari, Camilla
dc.contributor.authorHirooka, Masash
dc.contributor.authorLee, Dong Hyeon
dc.contributor.authorKim, Won
dc.contributor.authorOkanoue, Takeshi
dc.contributor.authorShima, Toshihide
dc.contributor.authorNakajima, Atsushi
dc.contributor.authorYoneda, Masato
dc.contributor.authorThuluvath, Paul J.
dc.contributor.authorLi, Feng
dc.contributor.authorBerzigotti, Annalisa
dc.contributor.authorMendoza, Yuly P.
dc.contributor.authorNoureddin, Mazen
dc.contributor.authorTruong, Emily
dc.contributor.authorFournier-Poizat, Celine
dc.contributor.authorGeier, Andreas
dc.contributor.authorTuthill, Theresa
dc.contributor.authorYunis, Carla
dc.contributor.authorAnstee, Quentin M.
dc.contributor.authorHarrison, Stephen A.
dc.contributor.authorBossuyt, Patrick M.
dc.contributor.authorPavlides, Michael
dc.date.accessioned2024-04-30T07:57:23Z
dc.date.available2024-04-30T07:57:23Z
dc.date.issued2024en_US
dc.identifier.citationMózes, F. E., Lee, J. A., Vali, Y., Selvaraj, E. A., Jayaswal, A. N. A., Boursier, J., de Lédinghen, V., Lupșor-Platon, M., Yilmaz, Y., Chan, W. K., Mahadeva, S., Karlas, T., Wiegand, J., Shalimar, Tsochatzis, E., Liguori, A., Wong, V. W., Lee, D. H., Holleboom, A. G., van Dijk, A. M., … Pavlides, M. (2024). Diagnostic accuracy of non-invasive tests to screen for at-risk MASH-An individual participant data meta-analysis. Liver international : official journal of the International Association for the Study of the Liver, 10.1111/liv.15914. Advance online publication. https://doi.org/10.1111/liv.15914en_US
dc.identifier.issn1478-3223
dc.identifier.issn1478-3231
dc.identifier.urihttps://doi.org/10.1111/liv.15914
dc.identifier.urihttps://hdl.handle.net/11436/8940
dc.description.abstractBackground & Aims: There is a need to reduce the screen failure rate (SFR) in metabolic dysfunction-associated steatohepatitis (MASH) clinical trials (MASH+F2-3; MASH+F4) and identify people with high-risk MASH (MASH+F2-4) in clinical practice. We aimed to evaluate non-invasive tests (NITs) screening approaches for these target conditions. Methods: This was an individual participant data meta-analysis for the performance of NITs against liver biopsy for MASH+F2-4, MASH+F2-3 and MASH+F4. Index tests were the FibroScan-AST (FAST) score, liver stiffness measured using vibration-controlled transient elastography (LSM-VCTE), the fibrosis-4 score (FIB-4) and the NAFLD fibrosis score (NFS). Area under the receiver operating characteristics curve (AUROC) and thresholds including those that achieved 34% SFR were reported. Results: We included 2281 unique cases. The prevalence of MASH+F2-4, MASH+F2-3 and MASH+F4 was 31%, 24% and 7%, respectively. Area under the receiver operating characteristics curves for MASH+F2-4 were .78, .75, .68 and .57 for FAST, LSM-VCTE, FIB-4 and NFS. Area under the receiver operating characteristics curves for MASH+F2-3 were .73, .67, .60, .58 for FAST, LSM-VCTE, FIB-4 and NFS. Area under the receiver operating characteristics curves for MASH+F4 were .79, .84, .81, .76 for FAST, LSM-VCTE, FIB-4 and NFS. The sequential combination of FIB-4 and LSM-VCTE for the detection of MASH+F2-3 with threshold of .7 and 3.48, and 5.9 and 20 kPa achieved SFR of 67% and sensitivity of 60%, detecting 15 true positive cases from a theoretical group of 100 participants at the prevalence of 24%. Conclusions: Sequential combinations of NITs do not compromise diagnostic performance and may reduce resource utilisation through the need of fewer LSM-VCTE examinations.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAt-risk MASHen_US
dc.subjectFASTen_US
dc.subjectFIB-4en_US
dc.subjectLSM-VCTEen_US
dc.subjectMASHen_US
dc.subjectNon-invasive testsen_US
dc.titleDiagnostic accuracy of non-invasive tests to screen for at-risk MASH-An individual participant data meta-analysisen_US
dc.typearticleen_US
dc.contributor.departmentRTEÜ, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümüen_US
dc.contributor.institutionauthorYılmaz, Yusuf
dc.identifier.doi10.1111/liv.15914en_US
dc.relation.journalLiver Internationalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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