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Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis.

Ferenc Emil MózesJenny A LeeEmmanuel Anandraj SelvarajArjun Narayan Ajmer JayaswalMichael TraunerJérôme BoursierCéline FournierKatharina StauferRudolf E StauberElisabetta BugianesiRamy YouneSilvia GaiaMonica Lupșor-PlatonSalvatore PettaToshihide ShimaTakeshi OkanoueSanjiv MahadevaWah-Kheong ChanPeter J EddowesGideon M HirschfieldPhilip Noel NewsomeVincent Wai-Sun WongVictor de LedinghenJiangao FanFeng ShenJeremy F CobboldYoshio SumidaAkira OkajimaJörn M SchattenbergChristian LabenzWon KimMyoung Seok LeeJohannes WiegandThomas KarlasYusuf YilmazGuruprasad Padur AithalNaaventhan PalaniyappanChristophe CassinottoSandeep AggarwalHarshit GargGeraldine J OoiHirokazu TakahashiMasato YonedaMarianne ZiolNathalie BargetAndreas GeierTheresa TuthillM Julia BrosnanQuentin Mark AnsteeStefan NeubauerStephen A HarrisonPatrick M BossuytMichael Pavlidesnull null
Published in: Gut (2021)
Sequential combinations of markers with a lower cut-off to rule-out advanced fibrosis and a higher cut-off to rule-in cirrhosis can reduce the need for liver biopsies.
Keyphrases
  • systematic review
  • case report
  • meta analyses
  • big data
  • liver fibrosis
  • randomized controlled trial
  • machine learning
  • deep learning