Risk Model for Predicting Gaps in Surgical Oncology Care Among Patients With Stage I-III Rectal Cancer From KwaZulu-Natal, South Africa
An accurate, setting-specific risk model and nomogram was developed for predicting GISOC in patients with RC. The nomogram can be implemented without the use of technology to identify patients at high risk for GISOC, who can then be targeted with risk-reduction interventions. The impact of the nomogram on existing surgical unit workflows requires further investigation.
Authors
- Jacqueline Van Wyk (ORCID: https://orcid.org/0000-0003-1894-7326)
- Yoshan Moodley (ORCID: https://orcid.org/0000-0002-4119-1734)
- Shakeel Kader (ORCID: https://orcid.org/0000-0002-6216-5703)
- Steven D. Wexner (ORCID: https://orcid.org/0000-0001-8046-5753)
- Willie Brink (ORCID: https://orcid.org/0000-0002-4081-8232)
- Alfred I. Neugut (ORCID: https://orcid.org/0000-0002-5949-4522)
- Ravi P. Kiran (ORCID: https://orcid.org/0000-0003-0537-5592)
Institutions
- Western Cape Department of Health (ZA)
- University of Cape Town (ZA)
- Stellenbosch University (ZA)
- Columbia University Irving Medical Center (US)
- Cleveland Clinic Florida (US)
- Columbia University (US)
- University of KwaZulu-Natal (ZA)
Publication Details
- Journal
- JCO Global Oncology
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1200/go-24-00480
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00