Risk-Prediction Models for Clinical Decision-Making in Sarcoma Care: An International Survey Among Soft-Tissue Sarcoma Clinicians
Responding STS clinicians frequently use RPMs to support decision-making about (neo)adjuvant therapies. However, they expressed concerns about the applicability of RPM estimates to individual patients and reported challenges in communicating prognostic outcomes with patients. These findings highlight the difficulties clinicians face when integrating RPMs into patient consultations.
Authors
- Dario Callegaro (ORCID: https://orcid.org/0000-0002-3392-4002)
- Anouk A. Kruiswijk (ORCID: https://orcid.org/0000-0003-4827-7466)
- Ellen G. Engelhardt (ORCID: https://orcid.org/0000-0003-0016-4972)
- Leti van Bodegom‐Vos (ORCID: https://orcid.org/0000-0002-8486-6404)
- Michiel A. J. van de Sande (ORCID: https://orcid.org/0000-0002-9156-7656)
- Rick L. Haas (ORCID: https://orcid.org/0000-0003-4834-4331)
- Alessandro Gronchi (ORCID: https://orcid.org/0000-0002-4703-3534)
- Ibtissam Acem (ORCID: https://orcid.org/0000-0002-8042-9856)
- Lisa A. E. Vlug
- Robert J P van de Wal
Institutions
- Leiden University Medical Center (NL)
- The Netherlands Cancer Institute (NL)
- Oncode Institute (NL)
- Erasmus MC Cancer Institute (NL)
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
Publication Details
- Journal
- Annals of Surgical Oncology
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1245/s10434-024-16849-7
- Citations
- 3
- Primary Topic
- Sarcoma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.56
Funders
- KWF Kankerbestrijding