ASO Author Reflections: Enhancing Shared Decision-Making with Risk Prediction Models in Sarcoma Care

Annals of Surgical Oncology, vol. 32, pp. 2981–2982

Abstract

PASTRisk prediction models (RPMs) have become essential tools in modern oncology, supporting clinicians in making data-driven, personalized treatment decisions.These statistical tools predict individual patient outcomes on the basis of clinical characteristics, enhancing evidencebased medicine and shared decision-making.RPMs have found applications across various conditions, including breast cancer and currently in soft tissue sarcoma (STS) management.Tools such as Sarculator 1 and PERSARC, 2 designed specifically for STS, estimate risks of recurrence and survival using clinical parameters to tailor sarcoma treatment strategies.Despite their external validation in several international sarcoma patient cohorts and their potential to support decision-making, the integration of RPMs into routine sarcoma care remains limited and poorly understood.3 This study evaluated the use of RPMs in multidisciplinary tumor boards and patient consultations worldwide, and the factors that influence their adoption.4 It also explored clinicians' perspectives on shared decision-making in STS treatment and how RPMs can support this process.By addressing the barriers of integrating RPMs into clinical workflows, the study aimed to enhance collaborative decision-making and advance personalized sarcoma care.

Authors 3

1. Leti van Bodegom‐Vos corresponding Aachen Department of Biomedical Data Sciences

   Leiden University Medical Center

   Affiliation as printed

   Department of Biomedical Data Sciences, Medical Decision Making, Leiden University Medical Center, Leiden, The Netherlands. l.van_bodegom-vos@lumc.nl

   Department of Biomedical Data Sciences, Medical Decision Making, Leiden University Medical Center, Leiden, The Netherlands

2. Anouk A. Kruiswijk Aachen Department of Biomedical Data Sciences Orthopedic Surgery

   Leiden University Medical Center

   Affiliation as printed

   Department of Biomedical Data Sciences, Medical Decision Making, Leiden University Medical Center, Leiden, The Netherlands

   Orthopedic Surgery, Leiden University Medical Center, Leiden, The Netherlands

3. Michiel A. J. van de Sande Aachen Orthopedic Surgery

   Leiden University Medical Center

   Affiliation as printed

   Orthopedic Surgery, Leiden University Medical Center, Leiden, The Netherlands