Diagnostic accuracy of non-invasive tests to screen for at-risk MASH-An individual participant data meta-analysis
DC Field | Value | Language |
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dc.contributor.author | Mozes, Ferenc E. | - |
dc.contributor.author | Lee, Jenny A. | - |
dc.contributor.author | Vali, Yasaman | - |
dc.contributor.author | Selvaraj, Emmanuel A. | - |
dc.contributor.author | Jayaswal, Arjun N. A. | - |
dc.contributor.author | Boursier, Jerome | - |
dc.contributor.author | de Ledinghen, Victor | - |
dc.contributor.author | Lupsor-Platon, Monica | - |
dc.contributor.author | Yilmaz, Yusuf | - |
dc.contributor.author | Chan, Wah-Kheong | - |
dc.contributor.author | Mahadeva, Sanjiv | - |
dc.contributor.author | Karlas, Thomas | - |
dc.contributor.author | Wiegand, Johannes | - |
dc.contributor.author | Tsochatzis, Emmanouil | - |
dc.contributor.author | Liguori, Antonio | - |
dc.contributor.author | Wong, Vincent Wai-Sun | - |
dc.contributor.author | Lee, Dae Ho | - |
dc.contributor.author | Holleboom, Adriaan G. | - |
dc.contributor.author | van Dijk, Anne-Marieke | - |
dc.contributor.author | Mak, Anne Linde | - |
dc.contributor.author | Hagstroem, Hannes | - |
dc.contributor.author | Akbari, Camilla | - |
dc.contributor.author | Hirooka, Masashi | - |
dc.contributor.author | Lee, Dong Hyeon | - |
dc.contributor.author | Kim, Won | - |
dc.contributor.author | Okanoue, Takeshi | - |
dc.contributor.author | Shima, Toshihide | - |
dc.contributor.author | Nakajima, Atsushi | - |
dc.contributor.author | Yoneda, Masato | - |
dc.contributor.author | Thuluvath, Paul J. | - |
dc.contributor.author | Li, Feng | - |
dc.contributor.author | Berzigotti, Annalisa | - |
dc.contributor.author | Mendoza, Yuly P. | - |
dc.contributor.author | Noureddin, Mazen | - |
dc.contributor.author | Truong, Emily | - |
dc.contributor.author | Fournier-Poizat, Celine | - |
dc.contributor.author | Geier, Andreas | - |
dc.contributor.author | Tuthill, Theresa | - |
dc.contributor.author | Yunis, Carla | - |
dc.contributor.author | Anstee, Quentin M. | - |
dc.contributor.author | Harrison, Stephen A. | - |
dc.contributor.author | Bossuyt, Patrick M. | - |
dc.contributor.author | Pavlides, Michael | - |
dc.date.accessioned | 2024-08-10T05:00:18Z | - |
dc.date.available | 2024-08-10T05:00:18Z | - |
dc.date.issued | 2024-08 | - |
dc.identifier.issn | 1478-3223 | - |
dc.identifier.issn | 1478-3231 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/92173 | - |
dc.description.abstract | Background & 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. | - |
dc.format.extent | 14 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | WILEY | - |
dc.title | Diagnostic accuracy of non-invasive tests to screen for at-risk MASH-An individual participant data meta-analysis | - |
dc.type | Article | - |
dc.identifier.wosid | 001196696700001 | - |
dc.identifier.doi | 10.1111/liv.15914 | - |
dc.identifier.bibliographicCitation | LIVER INTERNATIONAL, v.44, no.8, pp 1872 - 1885 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.scopusid | 2-s2.0-85189953074 | - |
dc.citation.endPage | 1885 | - |
dc.citation.startPage | 1872 | - |
dc.citation.title | LIVER INTERNATIONAL | - |
dc.citation.volume | 44 | - |
dc.citation.number | 8 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | at-risk MASH | - |
dc.subject.keywordAuthor | FAST | - |
dc.subject.keywordAuthor | FIB-4 | - |
dc.subject.keywordAuthor | LSM-VCTE | - |
dc.subject.keywordAuthor | MASH | - |
dc.subject.keywordAuthor | NFS | - |
dc.subject.keywordAuthor | non-invasive tests | - |
dc.subject.keywordPlus | NONALCOHOLIC STEATOHEPATITIS | - |
dc.subject.keywordPlus | PROSPECTIVE DERIVATION | - |
dc.subject.keywordPlus | LIVER | - |
dc.subject.keywordPlus | VALIDATION | - |
dc.subject.keywordPlus | FIBROSIS | - |
dc.relation.journalResearchArea | Gastroenterology & Hepatology | - |
dc.relation.journalWebOfScienceCategory | Gastroenterology & Hepatology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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