A prediction model for metachronous colorectal cancer: development and validation.

Saved in:
Bibliographic Details
Title: A prediction model for metachronous colorectal cancer: development and validation.
Authors: Zhang Y; Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.; University of Melbourne Center for Cancer Research, Victorian Comprehensive Cancer Center, University of Melbourne, Parkville, VIC, Australia., Karahalios A; Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia., Win AK; Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.; University of Melbourne Center for Cancer Research, Victorian Comprehensive Cancer Center, University of Melbourne, Parkville, VIC, Australia.; Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia., Makalic E; Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.; Department of Data Science and AI, Faculty of Information Technology, Monash University, Clayton, VIC, Australia., Boussioutas A; Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia.; Department of Gastroenterology, The Alfred, Monash University, Melbourne, VIC, Australia., Buchanan DD; University of Melbourne Center for Cancer Research, Victorian Comprehensive Cancer Center, University of Melbourne, Parkville, VIC, Australia.; Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia.; Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, VIC, Australia., Schmit SL; Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA.; Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, USA., Samadder NJ; Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Phoenix, AZ, USA., Macrae FA; Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia.; Department of Colorectal Medicine and Genetics, University of Melbourne, Royal Melbourne Hospital, Parkville, VIC, Australia., Jenkins MA; Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.; University of Melbourne Center for Cancer Research, Victorian Comprehensive Cancer Center, University of Melbourne, Parkville, VIC, Australia.
Source: Journal of the National Cancer Institute [J Natl Cancer Inst] 2025 Oct 01; Vol. 117 (10), pp. 2082-2088.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 7503089 Publication Model: Print Cited Medium: Internet ISSN: 1460-2105 (Electronic) Linking ISSN: 00278874 NLM ISO Abbreviation: J Natl Cancer Inst Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1460-2105
DOI:10.1093/jnci/djaf191