A Comparison of Prognostic Models to Facilitate Surgical Decision-Making for Patients With Spinal Metastatic Disease

Author:

Wick Joseph B.1ORCID,Kalistratova Venina S.2,Jr Dagoberto Piña2,Fine Jeffrey R.3,Boozé Zachary L.2,Holland Joseph4,Vander Voort Wyatt1,Hisatomi Lauren A.5,Villegas Alex2,Conry Keegan1,Ortega Brandon1,Javidan Yashar1,Roberto Rolando F.1,Klineberg Eric O.1,Le Hai V.1

Affiliation:

1. Department of Orthopedic Surgery, University of California, Davis, Sacramento, CA

2. University of California, Davis, School of Medicine, Sacramento, CA

3. University of California, Davis, Department Biostatistics, Sacramento, CA

4. University of Louisville School of Medicine, Louisville, KY

5. California Northstate University College of Medicine, Elk Grove, CA

Abstract

Study Design. Retrospective cohort. Objective. Compare the performance of and provide cutoff values for commonly used prognostic models for spinal metastases, including Revised Tokuhashi, Tomita, Modified Bauer, New England Spinal Metastases Score (NESMS), and Skeletal Oncology Research Group model, at three- and six-month postoperative time points. Summary of Background Data. Surgery may be recommended for patients with spinal metastases causing fracture, instability, pain, and/or neurological compromise. However, patients with less than three to six months of projected survival are less likely to benefit from surgery. Prognostic models have been developed to help determine prognosis and surgical candidacy. Yet, there is a lack of data directly comparing the performance of these models at clinically relevant time points or providing clinically applicable cutoff values for the models. Materials and Methods. Sixty-four patients undergoing surgery from 2015 to 2022 for spinal metastatic disease were identified. Revised Tokuhashi, Tomita, Modified Bauer, NESMS, and Skeletal Oncology Research Group were calculated for each patient. Model calibration and discrimination for predicting survival at three months, six months, and final follow-up were evaluated using the Brier score and Uno’s C, respectively. Hazard ratios for survival were calculated for the models. The Contral and O’Quigley method was utilized to identify cutoff values for the models discriminating between survival and nonsurvival at three months, six months, and final follow-up. Results. Each of the models demonstrated similar performance in predicting survival at three months, six months, and final follow-up. Cutoff scores that best differentiated patients likely to survive beyond three months included the Revised Tokuhashi score=10, Tomita score=four, Modified Bauer score=three, and NESMS=one. Conclusion. We found comparable efficacy among the models in predicting survival at clinically relevant time points. Cutoff values provided herein may assist surgeons and patients when deciding whether to pursue surgery for spinal metastatic disease. Level of Evidence. 4.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical),Orthopedics and Sports Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3