The SORG nomogram accurately predicts 3- and 12-months survival for operable spine metastatic disease: External validation Journal Article
| Authors: | Paulino Pereira, N. R.; McLaughlin, L.; Janssen, S. J.; van Dijk, C. N.; Bramer, J. A. M.; Laufer, I.; Bilsky, M. H.; Schwab, J. H. |
| Article Title: | The SORG nomogram accurately predicts 3- and 12-months survival for operable spine metastatic disease: External validation |
| 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. © 2017 Wiley Periodicals, Inc. |
| Keywords: | algorithms; nomograms; spine; surgery; metastases |
| Journal Title: | Journal of Surgical Oncology |
| Volume: | 115 |
| Issue: | 8 |
| ISSN: | 0022-4790 |
| Publisher: | Wiley Blackwell |
| Date Published: | 2017-06-15 |
| Start Page: | 1019 |
| End Page: | 1027 |
| Language: | English |
| DOI: | 10.1002/jso.24620 |
| PROVIDER: | scopus |
| PUBMED: | 28346699 |
| DOI/URL: | |
| Notes: | Article -- Export Date: 1 August 2017 -- Source: Scopus |
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
-
319Bilsky -
146Laufer -
22Mclaughlin
Related MSK Work