A Novel Predictive Model for Cancer-Specific Surgical Risk Stratification of Patients Undergoing High-Risk Upper Gastrointestinal Oncologic Resections
Our cancer-specific pre- and postoperative nomograms for LOS and postoperative complications provide an important tool to appropriately estimate risks and treatment outcomes for patients undergoing high-risk GI oncologic resections.
Authors
- Alice C. Wei (ORCID: https://orcid.org/0000-0002-2505-959X)
- Daniela Molena (ORCID: https://orcid.org/0000-0003-1655-4473)
- Brandon Bosch
- Daniel G. Coit (ORCID: https://orcid.org/0000-0001-8901-1555)
- Thomas M. Barber (ORCID: https://orcid.org/0000-0003-0689-9195)
- Nicolas Toumbacaris
- Vivian E. Strong (ORCID: https://orcid.org/0000-0001-5044-1662)
- William R. Jarnagin (ORCID: https://orcid.org/0000-0002-1635-5768)
- Marinela Capanu (ORCID: https://orcid.org/0000-0003-4953-3193)
- Anoushka M. Afonso (ORCID: https://orcid.org/0000-0002-0194-8173)
- David R. Jones (ORCID: https://orcid.org/0000-0002-3318-0146)
- Sabrina T. Lin (ORCID: https://orcid.org/0000-0001-7535-2535)
- Jeffrey A. Drebin (ORCID: https://orcid.org/0000-0003-2312-2062)
- Miseker Abate (ORCID: https://orcid.org/0000-0001-5060-1208)
- Meghana Mehta
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- Cornell University (US)
- Cancer Support Community (US)
- Presbyterian Hospital (US)
- Concepts to Systems (United States) (US)
Publication Details
- Journal
- Annals of Surgery
- Published
- 2025-09-12
- DOI
- https://doi.org/10.1097/sla.0000000000006939
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00