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 | Yılmaz, 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, Masash | |
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 | 2024-04-30T07:57:23Z | |
dc.date.available | 2024-04-30T07:57:23Z | |
dc.date.issued | 2024 | en_US |
dc.identifier.citation | Mózes, 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.15914 | en_US |
dc.identifier.issn | 1478-3223 | |
dc.identifier.issn | 1478-3231 | |
dc.identifier.uri | https://doi.org/10.1111/liv.15914 | |
dc.identifier.uri | https://hdl.handle.net/11436/8940 | |
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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Wiley | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | At-risk MASH | en_US |
dc.subject | FAST | en_US |
dc.subject | FIB-4 | en_US |
dc.subject | LSM-VCTE | en_US |
dc.subject | MASH | en_US |
dc.subject | Non-invasive tests | en_US |
dc.title | Diagnostic accuracy of non-invasive tests to screen for at-risk MASH-An individual participant data meta-analysis | en_US |
dc.type | article | en_US |
dc.contributor.department | RTEÜ, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü | en_US |
dc.contributor.institutionauthor | Yılmaz, Yusuf | |
dc.identifier.doi | 10.1111/liv.15914 | en_US |
dc.relation.journal | Liver International | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |