Literature DB >> 30529900

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

David Choi1, Menelaos Pavlou2, Rumana Omar2, Mark Arts3, Laurent Balabaud4, Jacob Maciej Buchowski5, Cody Bunger6, Chun Kee Chung7, Maarten Hubert Coppes8, Bart Depreitere9, Michael George Fehlings10, Norio Kawahara11, Chong-Suh Lee12, YeeLing Leung13, Juan Antonio Martin-Benlloch14, Eric Maurice Massicotte10, Christian Mazel15, Bernhard Meyer16, Fetullah Cumhur Oner17, Wilco Peul18, Nasir Quraishi19, Yasuaki Tokuhashi20, Katsuro Tomita21, Christian Ulbricht22, Jorrit-Jan Verlaan17, Michael Wang23, Hugh Alan Crockard24.   

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 Previous prognostic scoring systems are becoming out of date and inaccurate.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.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Metastasis; Outcome; Risk; Spine surgery; Survival; Tumour

Mesh:

Year:  2018        PMID: 30529900     DOI: 10.1016/j.ejca.2018.11.011

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  6 in total

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Journal:  Psychol Res Behav Manag       Date:  2020-09-04

2.  Clinical features and prognosis analysis of metastatic spinal pheochromocytoma: A single center retrospective study.

Authors:  Shuzhong Liu; Xi Zhou; Zhen Huo; Siyuan Yao; Yipeng Wang; Yong Liu
Journal:  J Bone Oncol       Date:  2020-08-02       Impact factor: 4.072

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Journal:  Surg Open Sci       Date:  2020-04-26

4.  An Ounce of Prediction is Worth a Pound of Cure: Risk Calculators in Breast Reconstruction.

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Journal:  Plast Reconstr Surg Glob Open       Date:  2022-05-13

5.  Epidemiology and detection of cement leakage in patients with spine metastases treated with percutaneous vertebroplasty: A 10-year observational study.

Authors:  Xuedong Shi; Yunpeng Cui; Yuanxing Pan; Bing Wang; Mingxing Lei
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6.  Clinician Experiences in Treatment Decision-Making for Patients with Spinal Metastases: A Qualitative Study.

Authors:  Lauren B Barton; Kaetlyn R Arant; Justin A Blucher; Danielle L Sarno; Kristin J Redmond; Tracy A Balboni; Matthew Colman; C Rory Goodwin; Ilya Laufer; Rick Placide; John H Shin; Daniel M Sciubba; Elena Losina; Jeffrey N Katz; Andrew J Schoenfeld
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  6 in total

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