A prediction model for metachronous colorectal cancer: development and validation
Metachronous CRC can be predicted with reasonable accuracy using a prediction model that consists of clinical variables collected as part of routine practice.
Authors
- Y. Zhang (ORCID: https://orcid.org/0000-0003-2698-2391)
- Enes Makalic (ORCID: https://orcid.org/0000-0003-3017-0871)
- Amalia Karahalios (ORCID: https://orcid.org/0000-0002-7497-1681)
- Daniel D. Buchanan (ORCID: https://orcid.org/0000-0003-2225-6675)
- N. Jewel Samadder (ORCID: https://orcid.org/0000-0001-7182-5569)
- Aung Ko Win (ORCID: https://orcid.org/0000-0002-2794-5261)
- Finlay Macrae (ORCID: https://orcid.org/0000-0003-4035-9678)
- Stephanie L. Schmit (ORCID: https://orcid.org/0000-0001-5931-1194)
- Alex Boussioutas (ORCID: https://orcid.org/0000-0002-8109-6897)
- Mark A. Jenkins (ORCID: https://orcid.org/0000-0002-8964-6160)
Institutions
- Cleveland Clinic (US)
- The Royal Melbourne Hospital (AU)
- The University of Melbourne (AU)
- WinnMed (US)
- Monash Alfred Psychiatry Research centre (AU)
- Victorian Comprehensive Cancer Centre (AU)
- University Hospitals Seidman Cancer Center (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic Hospital (US)
- Mayo Clinic in Florida (US)
- Melbourne Health (AU)
- Case Comprehensive Cancer Center
- Monash University (AU)
Publication Details
- Journal
- JNCI Journal of the National Cancer Institute
- Published
- 2025-07-14
- DOI
- https://doi.org/10.1093/jnci/djaf191
- Citations
- 1
- Primary Topic
- Genetic factors in colorectal cancer
- Type
- article
- Field-Weighted Citation Impact
- 1.47