Open AccessHow Does the Skeletal Oncology Research Group Algorithm’s Prediction of 5-year Survival in Patients with Chondrosarcoma Perform on International Validation?
Author(s) -
Michiel E R Bongers,
Aditya V. Karhade,
Elisabetta Setola,
Marco Gambarotti,
Olivier Q. Groot,
Kıvılcım Eren Erdoğan,
Piero Picci,
Davide María Donati,
Joseph H. Schwab,
Emanuela Palmerini
Publication year - 2020
Publication title -
clinical orthopaedics and related research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.178
H-Index - 204
eISSN - 1528-1132
pISSN - 0009-921X
DOI - 10.1097/corr.0000000000001305
Subject(s) - medicine , chondrosarcoma , algorithm , surgery , radiology , computer science
The Skeletal Oncology Research Group (SORG) machine learning algorithm for predicting survival in patients with chondrosarcoma was developed using data from the Surveillance, Epidemiology, and End Results (SEER) registry. This algorithm was externally validated on a dataset of patients from the United States in an earlier study, where it demonstrated generally good performance but overestimated 5-year survival. In addition, this algorithm has not yet been validated in patients outside the United States; doing so would be important because external validation is necessary as algorithm performance may be misleading when applied in different populations.