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Identifying Recurrences Among Non-Metastatic Colorectal Cancer Patients Using National Health Data Registries: Validation and Optimization of a Registry-Based Algorithm in a Modern Danish Cohort.

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Bibliographic Details
Title: Identifying Recurrences Among Non-Metastatic Colorectal Cancer Patients Using National Health Data Registries: Validation and Optimization of a Registry-Based Algorithm in a Modern Danish Cohort.
Authors: Nors J; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark., Mattesen TB; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark., Cronin-Fenton D; Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark., Mailhac A; Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark., Bramsen JB; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark., Gotschalck KA; Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Surgery, Horsens Regional Hospital, Horsens, Denmark., Erichsen R; Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.; Department of Surgery, Randers Regional Hospital, Horsens, Denmark., Andersen CL; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.
Source: Clinical epidemiology [Clin Epidemiol] 2023 Feb 27; Vol. 15, pp. 241-250. Date of Electronic Publication: 2023 Feb 27 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Dove Medical Press Country of Publication: New Zealand NLM ID: 101531700 Publication Model: eCollection Cited Medium: Print ISSN: 1179-1349 (Print) Linking ISSN: 11791349 NLM ISO Abbreviation: Clin Epidemiol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1179-1349
DOI:10.2147/CLEP.S396140