{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T09:55:53Z","timestamp":1793354153512,"version":"4.5.0"},"reference-count":49,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2022,2,8]],"date-time":"2022-02-08T00:00:00Z","timestamp":1644278400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Euro J of Neurology"],"published-print":{"date-parts":[[2022,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>There are no systematic reviews of cerebrospinal fluid and blood biomarkers for sporadic Creutzfeldt\u2013Jakob disease (sCJD) in specialized care settings that compare diagnostic accuracies in a network meta\u2010analysis (NMA).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We searched Medline, Embase, and Cochrane Library for diagnostic studies of sCJD biomarkers. Studies had to use established diagnostic criteria for sCJD and for diseases in the non\u2010CJD groups, which had to represent a consecutive population of patients suspected as a CJD case, as reference standard. Risk of bias was assessed with QUADAS\u20102. We conducted individual biomarker meta\u2010analyses with generalized bivariate models. To investigate heterogeneity, we performed subgroup analyses based on QUADAS\u20102 quality and clinical criteria. For the NMA, we applied a Bayesian beta\u2010binomial ANOVA model. The study protocol was registered at PROSPERO (CRD42019118830).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of 2976 publications screened, we included 16\u00a0studies, which investigated 14\u20133\u20103\u03b2 (\n                      <jats:italic>n\u00a0<\/jats:italic>\n                      =\u00a013), 14\u20133\u20103\u03b3 (\n                      <jats:italic>n\u00a0<\/jats:italic>\n                      =\u00a03), neurofilament light chain (NfL,\n                      <jats:italic>n\u00a0<\/jats:italic>\n                      =\u00a01), neuron\u2010specific enolase (\n                      <jats:italic>n\u00a0<\/jats:italic>\n                      =\u00a01), p\u2010tau181\/t\u2010tau ratio (\n                      <jats:italic>n\u00a0<\/jats:italic>\n                      =\u00a02), RT\u2010QuIC (\n                      <jats:italic>n\u00a0<\/jats:italic>\n                      =\u00a07), S100B (\n                      <jats:italic>n\u00a0<\/jats:italic>\n                      =\u00a03), t\u2010tau (\n                      <jats:italic>n\u00a0<\/jats:italic>\n                      =\u00a012), and t\u2010tau\/A\u03b242 ratio (\n                      <jats:italic>n\u00a0<\/jats:italic>\n                      =\u00a01). Excluded diagnostic studies had strong limitations in study design. In the NMA, RT\u2010QuIC (0.91; 95% CI [0.83, 0.95]) and NfL (0.93 [0.78, 0.99]) were the most sensitive biomarkers for the diagnosis of definite, probable, and possible sCJD cases. RT\u2010QuIC was the most specific biomarker (0.97 [0.89, 1.00]). Heterogeneity in accuracy estimates was high between studies.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>We identified RT\u2010QuIC as the most accurate biomarker, partially confirming currently applied diagnostic criteria. The shortcomings identified in many diagnostic studies for sCJD biomarkers need to be addressed in future studies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ene.15258","type":"journal-article","created":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T20:10:01Z","timestamp":1643055001000},"page":"1366-1376","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Diagnostic accuracy of cerebrospinal fluid biomarkers for the differential diagnosis of sporadic Creutzfeldt\u2013Jakob disease: a\u00a0(network) meta\u2010analysis"],"prefix":"10.1111","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2198-5577","authenticated-orcid":false,"given":"Nicole","family":"R\u00fcbsamen","sequence":"first","affiliation":[{"name":"Institute of Epidemiology and Social Medicine University of M\u00fcnster  M\u00fcnster Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephanie","family":"Pape","sequence":"additional","affiliation":[{"name":"Institute of Epidemiology and Social Medicine University of M\u00fcnster  M\u00fcnster Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Konigorski","sequence":"additional","affiliation":[{"name":"Molecular Epidemiology Research Group Max Delbr\u00fcck Center (MDC) for Molecular Medicine in the Helmholtz Association  Berlin Germany"},{"name":"Digital Health and Machine Learning Research Group Hasso Plattner Institute for Digital Engineering  Potsdam Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonia","family":"Zapf","sequence":"additional","affiliation":[{"name":"Department of Medical Biometry and Epidemiology University Medical Center Hamburg\u2010Eppendorf  Hamburg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gerta","family":"R\u00fccker","sequence":"additional","affiliation":[{"name":"Institute of Medical Biometry and Statistics Faculty of Medicine and Medical Center University of Freiburg  Freiburg im Breisgau Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9","family":"Karch","sequence":"additional","affiliation":[{"name":"Institute of Epidemiology and Social Medicine University of M\u00fcnster  M\u00fcnster Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,2,8]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awm063"},{"key":"e_1_2_10_3_1","unstructured":"European Centre for Disease Prevention and Control.EU case definition: sporadic CJD (from 1 January 2017) [online]. 2017. 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