Nuno Rui Paulino Pereira1, Lily Mclaughlin2, Stein J Janssen3, Cornelis N van Dijk4, Jos A M Bramer4, Ilya Laufer2, Mark H Bilsky2, Joseph H Schwab1. 1. Department of Orthopaedic Surgery, Orthopaedic Oncology Service, Massachusetts General Hospital-Harvard Medical School, Boston, Massachusetts. 2. Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, New York. 3. Department of General Surgery, Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands. 4. Department of Orthopaedic Surgery, Academic Medical Center-University of Amsterdam, Amsterdam, The Netherlands.
Abstract
BACKGROUND AND OBJECTIVES: Externally validate the SORG12 nomogram and SORG classic algorithm at estimating survival in patients with spine metastatic disease, and compare predictive accuracy with other survival algorithms. METHODS: We received data from 100 patients who had surgery for spine metastatic disease at an external institution. Algorithms were accurate if the Area Under Curve (AUC) was >0.70, and we used Receiver Operating Characteristic (ROC) analysis to compare predictive accuracy with other algorithms. RESULTS: The SORG nomogram accurately estimated 3-months (AUC = 0.74) and 12-months survival (AUC = 0.78); it did not accurately estimate 1-month survival (AUC = 0.65). There was no difference in 1-month survival accuracy between the SORG nomogram and SORG classic algorithm (P = 0.162). The SORG nomogram was best at predicting 3-months survival, compared with the Tokuhashi score and SORG classic algorithm (P = 0.009). The SORG nomogram was best at predicting 12-months survival, compared with the Tomita score, Ghori score, Bauer modified score, Tokuhashi score, and SORG classic algorithm (P = 0.033). CONCLUSIONS: The SORG nomogram accurately estimated 3- and 12-months survival for operable spine metastatic disease, and is therefore, useful in clinical practice.
BACKGROUND AND OBJECTIVES: Externally validate the SORG12 nomogram and SORG classic algorithm at estimating survival in patients with spine metastatic disease, and compare predictive accuracy with other survival algorithms. METHODS: We received data from 100 patients who had surgery for spine metastatic disease at an external institution. Algorithms were accurate if the Area Under Curve (AUC) was >0.70, and we used Receiver Operating Characteristic (ROC) analysis to compare predictive accuracy with other algorithms. RESULTS: The SORG nomogram accurately estimated 3-months (AUC = 0.74) and 12-months survival (AUC = 0.78); it did not accurately estimate 1-month survival (AUC = 0.65). There was no difference in 1-month survival accuracy between the SORG nomogram and SORG classic algorithm (P = 0.162). The SORG nomogram was best at predicting 3-months survival, compared with the Tokuhashi score and SORG classic algorithm (P = 0.009). The SORG nomogram was best at predicting 12-months survival, compared with the Tomita score, Ghori score, Bauer modified score, Tokuhashi score, and SORG classic algorithm (P = 0.033). CONCLUSIONS: The SORG nomogram accurately estimated 3- and 12-months survival for operable spine metastatic disease, and is therefore, useful in clinical practice.
Authors: Quirina C B S Thio; Nuno Rui Paulino Pereira; Olivier van Wulfften Palthe; Daniel M Sciubba; Jos A M Bramer; Joseph H Schwab Journal: J Orthop Date: 2021-11-27
Authors: Elie Massaad; Nida Fatima; Muhamed Hadzipasic; Christopher Alvarez-Breckenridge; Ganesh M Shankar; John H Shin Journal: Neurospine Date: 2019-12-31