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A novel risk calculator to predict outcome after surgery for symptomatic spinal metastases; use of a large prospective patient database to personalise surgical management

Authors :
Chong Suh Lee
Laurent Balabaud
David Choi
Jacob M. Buchowski
Christian Ulbricht
Jorrit Jan Verlaan
Christian Mazel
Chun Kee Chung
Bart Depreitere
Mark P. Arts
Michael Wang
Hugh Alan Crockard
Nasir A. Quraishi
Rumana Z Omar
Wilco C. Peul
Yee Ling Leung
Bernhard Meyer
Michael G. Fehlings
Maarten H. Coppes
Katsuro Tomita
Eric M. Massicotte
F. C. Oner
Cody Bünger
Yasuaki Tokuhashi
Menelaos Pavlou
Juan Antonio Martin-Benlloch
Norio Kawahara
Source :
European Journal of Cancer, 107, 28-36, EUROPEAN JOURNAL OF CANCER, r-FISABIO: Repositorio Institucional de Producción Científica, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Choi, D, Pavlou, M, Omar, R, Arts, M, Balabaud, L, Buchowski, J M, Bunger, C, Chung, C K, Coppes, M H, Depreitere, B, Fehlings, M G, Kawahara, N, Lee, C-S, Leung, Y, Antonio Martin-Benlloch, J, Massicotte, E M, Mazel, C, Meyer, B, Oner, F C, Peul, W, Quraishi, N, Tokuhashi, Y, Tomita, K, Ulbricht, C, Verlaan, J-J, Wang, M & Crockard, H A 2019, ' A novel risk calculator to predict outcome after surgery for symptomatic spinal metastases; use of a large prospective patient database to personalise surgical management ', European Journal of Cancer, vol. 107, pp. 28-36 . https://doi.org/10.1016/j.ejca.2018.11.011, European Journal of Cancer, 107, 28-36. ELSEVIER SCI LTD, r-FISABIO. Repositorio Institucional de Producción Científica, instname
Publication Year :
2019
Publisher :
ELSEVIER SCI LTD, 2019.

Abstract

AIM: Surgery for spinal metastases can improve symptoms, but sometimes complications can negate the benefits. Operations may have different indications, complexities and risks, and the choice for an individual is a tailor-made personalised decision. Previous prognostic scoring systems are becoming out of date and inaccurate. We designed a risk calculator to estimate survival after surgery, to inform clinicians and patients when making management decisions. METHODS: A prospective cohort study was performed, including 1430 patients with spinal metastases who underwent surgery. Of them, 1264 patients from 20 centres were used for model development using a Cox frailty model. Calibration slope, D-statistic and C-index were used for model validation based on 166 patients. Follow-up was to death or minimum of 2 years after surgery. Pre-operative indices (examination findings, pain, Karnofsky physical functioning score, and radiology) were assessed. RESULTS: An algorithm to predict survival was constructed including the tumour type, ambulatory status, analgesic use, American Society of Anesthesiologists score, number of spinal metastases, previous radiotherapy or chemotherapy, presence of visceral metastases, cervical or thoracic spine involvement, as predictors. An Internet-based risk calculator was developed based on this algorithm, with similar or improved accuracy compared to other validated prognostic scoring systems (C-index, 0.68; 95% confidence interval, 0.63--0.73, and calibration slope, 1.00; 95% confidence interval, 0.68--1.32). CONCLUSION: A large, prospective, surgical series of patients with symptomatic spinal metastases was used to create a validated risk calculator that can help clinicians to inform patients about the most appropriate treatment plan. The calculator is available at www.spinemet.com. ispartof: EUROPEAN JOURNAL OF CANCER vol:107 pages:28-36 ispartof: location:England status: published

Details

Language :
English
ISSN :
18790852 and 09598049
Volume :
107
Database :
OpenAIRE
Journal :
European Journal of Cancer
Accession number :
edsair.doi.dedup.....3c85e4f53c80ed874b76df9970815161