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dc.contributor.authorBoursier, J
dc.contributor.authorRoux, M
dc.contributor.authorCostentin, C
dc.contributor.authorChaigneau, J
dc.contributor.authorFournier-Poizat, C
dc.contributor.authorTrylesinski, A
dc.contributor.authorCanivet, CM
dc.contributor.authorMichalak, S
dc.contributor.authorLe Bail, B
dc.contributor.authorParadis, V
dc.contributor.authorBedossa, P
dc.contributor.authorSturm, N
dc.contributor.authorde Ledinghen, V
dc.contributor.authorBarthelon, J
dc.contributor.authorBoursier, J
dc.contributor.authorCales, P
dc.contributor.authorCanivet, C
dc.contributor.authorDecaens, T
dc.contributor.authorDelamarre, A
dc.contributor.authorHermabessiere, P
dc.contributor.authorIrles-Depé, M
dc.contributor.authorde Ledinghen, V
dc.contributor.authorHilleret, M-N
dc.contributor.authorFouchard-Hubert, I
dc.contributor.authorLannes, A
dc.contributor.authorLe Bail, B
dc.contributor.authorMoal, V
dc.contributor.authorOberti, F
dc.contributor.authorAllison, M
dc.contributor.authorAnstee, QM
dc.contributor.authorCobbold, JF
dc.contributor.authorDeeks, JJ
dc.contributor.authorEddowes, PJ
dc.contributor.authorGuha, IN
dc.contributor.authorSheridan, D
dc.contributor.authorTsochatzis, E
dc.contributor.authorNewsome, PN
dc.date.accessioned2023-11-28T13:25:52Z
dc.date.available2023-11-28T13:25:52Z
dc.date.issued2023-08-26
dc.identifier.issn2041-1723
dc.identifier.issn2041-1723
dc.identifier.other5219
dc.identifier.urihttps://pearl.plymouth.ac.uk/handle/10026.1/21745
dc.description.abstract

Unlike for advanced liver fibrosis, the practical rules for the early non-invasive diagnosis of cirrhosis in NAFLD remain not well defined. Here, we report the derivation and validation of a stepwise diagnostic algorithm in 1568 patients with NAFLD and liver biopsy coming from four independent cohorts. The study algorithm, using first the elastography-based tests Agile3+ and Agile4 and then the specialized blood tests FibroMeterV3G and CirrhoMeterV3G, provides stratification in four groups, the last of which is enriched in cirrhosis (71% prevalence in the validation set). A risk prediction chart is also derived to allow estimation of the individual probability of cirrhosis. The predicted risk shows excellent calibration in the validation set, and mean difference with perfect prediction is only −2.9%. These tools improve the personalized non-invasive diagnosis of cirrhosis in NAFLD.

dc.format.extent5219-
dc.format.mediumElectronic
dc.languageen
dc.publisherSpringer Science and Business Media LLC
dc.subjectHumans
dc.subjectNon-alcoholic Fatty Liver Disease
dc.subjectLiver Cirrhosis
dc.subjectAlgorithms
dc.subjectBiopsy
dc.subjectCalibration
dc.titlePractical diagnosis of cirrhosis in non-alcoholic fatty liver disease using currently available non-invasive fibrosis tests
dc.typejournal-article
dc.typeJournal Article
dc.typeResearch Support, Non-U.S. Gov't
plymouth.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/37633932
plymouth.issue1
plymouth.volume14
plymouth.publication-statusPublished online
plymouth.journalNature Communications
dc.identifier.doi10.1038/s41467-023-40328-4
plymouth.organisational-group|Plymouth
plymouth.organisational-group|Plymouth|Faculty of Health
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA
plymouth.organisational-group|Plymouth|Users by role
plymouth.organisational-group|Plymouth|Users by role|Academics
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA|UoA01 Clinical Medicine
plymouth.organisational-group|Plymouth|Faculty of Health|Peninsula Medical School
plymouth.organisational-group|Plymouth|REF 2028 Researchers by UoA
plymouth.organisational-group|Plymouth|REF 2028 Researchers by UoA|UoA01 Clinical Medicine
dc.publisher.placeEngland
dcterms.dateAccepted2023-07-24
dc.date.updated2023-11-28T13:25:39Z
dc.rights.embargodate2023-12-6
dc.identifier.eissn2041-1723
dc.rights.embargoperiod
rioxxterms.versionofrecord10.1038/s41467-023-40328-4


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