{"schema":"pith.reference-change-event.v1","doi":"10.1016/s0140-6736(24)00367-2","canonical_url":"https://pith.science/event/10.1016/s0140-6736(24)00367-2","json_url":"https://pith.science/event/10.1016/s0140-6736(24)00367-2.json","not_a_judgment":"This page records that a citing paper's bibliography includes a work with a published notice. It is not a judgment on the citing paper.","primary":{"event_id":412434,"doi":"10.1016/s0140-6736(24)00367-2","event_type":"correction","event_type_label":"Correction","source":"crossref","source_label":"Crossref","event_date":"2024-04-19","title":"Department of Error","work_title":"18 Nyman U, Grubb A, Sterner G, Björk J","work_doi":"10.1016/s0140-6736(24)00367-2","work_arxiv_id":null,"notice_doi":"10.1016/s0140-6736(24)00824-9","flag_count":0,"flags_open":0,"flags_disputed":0,"latest_flag_at":null,"human_href":"/event/10.1016/s0140-6736(24)00367-2","json_href":"/event/10.1016/s0140-6736(24)00367-2.json"},"events":[{"event_id":412434,"doi":"10.1016/s0140-6736(24)00367-2","event_type":"correction","event_type_label":"Correction","source":"crossref","source_label":"Crossref","event_date":"2024-04-19","title":"Department of Error","work_title":"18 Nyman U, Grubb A, Sterner G, Björk J","work_doi":"10.1016/s0140-6736(24)00367-2","work_arxiv_id":null,"notice_doi":"10.1016/s0140-6736(24)00824-9","flag_count":0,"flags_open":0,"flags_disputed":0,"latest_flag_at":null,"human_href":"/event/10.1016/s0140-6736(24)00367-2","json_href":"/event/10.1016/s0140-6736(24)00367-2.json"}],"flags":[{"id":8005,"status":"open","status_label":"Open","citing_arxiv_id":"2607.22504","citing_title":"Kidney function and kidney failure prediction in a large multiethnic population","ref_index":3,"evidence_raw":"DOI:10.1016/S0140-6736(24)00367-2. 18 Nyman U, Grubb A, Sterner G, Björk J. The CKD-EPI and MDRD equations to estimate GFR. Validation in the Swedish Lund-Malmö Study cohort. Scand J Clin Lab Invest 2011; 71: 129–38. 19 Chen L-I, Guh J-Y, Wu K-D, et al. Modification of diet in renal disease (MDRD) study and CKD epidemiology collaboration (CKD-EPI) equations for Taiwanese adults. PLoS One 2014; 9: e99645. 20 Matsushita K, Mahmoodi BK, Woodward M, et al. Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate. JAMA 2012; 307: 1941–51. 21 Hilden J, Gerds TA. A note on the evaluation of novel biomarkers: do not rely on integrated discrimination improvement and net reclassification index. Stat Med 2014; 33: 3405–14. 22 Pepe MS, Fan J, Feng Z, Gerds T, Hilden J. The Net Reclassification Index (NRI): A misleading measure of prediction improvement even with independent test data sets. Stat Biosci 2015; 7: 282–95. 23 Fu EL, Coresh J, Grams ME, et al. Removing race from the CKD-EPI equation and its impact on prognosis in a predominantly White European population. Nephrol Dial Transplant 2023; 38: 119–28. 24 Bundy JD, Mills","evidence_cleaned":null,"evidence_source_label":"bibliography line","event_type":"correction","event_type_label":"Correction","source_label":"Crossref","event_date":"2024-04-19","work_title":"18 Nyman U, Grubb A, Sterner G, Björk J","work_doi":"10.1016/s0140-6736(24)00367-2","event_doi":"10.1016/s0140-6736(24)00367-2","flag_href":"/flags/8005","event_href":"/event/10.1016/s0140-6736(24)00367-2","paper_href":"/paper/2607.22504","created_at":"2026-08-01T06:20:18.266214Z","dispute_note":null,"disputed_at":null,"disputed_by":null}],"flag_count":1,"flags_open":1,"flags_disputed":0,"desk_url":"https://pith.science/flags"}