{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T20:12:47Z","timestamp":1792699967821,"version":"4.5.0"},"reference-count":46,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2021,1,19]],"date-time":"2021-01-19T00:00:00Z","timestamp":1611014400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010767","name":"Innovative Medicines Initiative","doi-asserted-by":"publisher","award":["777377"],"award-info":[{"award-number":["777377"]}],"id":[{"id":"10.13039\/501100010767","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Liver International"],"published-print":{"date-parts":[[2021,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background &amp; Aims<\/jats:title>\n                    <jats:p>Fibrosis is the strongest predictor for long\u2010term clinical outcomes among patients with non\u2010alcoholic fatty liver disease (NAFLD). There is growing interest in employing non\u2010invasive methods for risk stratification based on prognosis. FIB\u20104, NFS and APRI are models commonly used for detecting fibrosis among NAFLD patients. We aimed to synthesize existing literature on the ability of these models in prognosticating NAFLD\u2010related events.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A sensitive search was conducted in two medical databases to retrieve studies evaluating the prognostic accuracy of FIB\u20104, NFS and APRI among NAFLD patients. Target events were change in fibrosis, liver\u2010related event and mortality. Two reviewers independently performed reference screening, data extraction and quality assessment (QUAPAS tool).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 13 studies (FIB\u20104:12, NFS: 11, APRI: 10), published between 2013 and 2019, were retrieved. All studies were conducted in a secondary or tertiary care setting, with follow\u2010up ranging from 1 to 20\u00a0years. All three markers showed consistently good prognostication of liver\u2010related events (AUC from 0.69 to 0.92). For mortality, FIB\u20104 (AUC of 0.67\u20100.82) and NFS (AUC of 0.70\u20100.83) outperformed APRI (AUC of 0.52\u20100.73) in all studies. All markers had inconsistent performance for predicting change in fibrosis stage.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>FIB\u20104, NFS, and APRI have demonstrated ability to risk stratify patients for liver\u2010related morbidity and mortality, with comparable performance to a liver biopsy, although more head\u2010to\u2010head studies are needed to validate this. More refined models to prognosticate NAFLD\u2010events may further enhance performance and clinical utility of non\u2010invasive markers.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/liv.14669","type":"journal-article","created":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T16:41:41Z","timestamp":1600447301000},"page":"261-270","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":374,"title":["Prognostic accuracy of FIB\u20104, NAFLD fibrosis score and APRI for NAFLD\u2010related events: A systematic review"],"prefix":"10.1111","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4024-0933","authenticated-orcid":false,"given":"Jenny","family":"Lee","sequence":"first","affiliation":[{"name":"Epidemiology and Data Science Amsterdam UMC University of Amsterdam Amsterdam The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7002-118X","authenticated-orcid":false,"given":"Yasaman","family":"Vali","sequence":"additional","affiliation":[{"name":"Epidemiology and Data Science Amsterdam UMC University of Amsterdam Amsterdam The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jerome","family":"Boursier","sequence":"additional","affiliation":[{"name":"Hepato\u2010Gastroenterology Department Angers University Hospital Angers France"},{"name":"HIFIH Laboratory UPRES EA3859 Angers University Angers France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rene","family":"Spijker","sequence":"additional","affiliation":[{"name":"Medical Library Amsterdam UMC University of Amsterdam Amsterdam The Netherlands"},{"name":"Cochrane Netherlands Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht University Utrecht The 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