Literature DB >> 25260489

An easy tool to predict survival in patients receiving radiation therapy for painful bone metastases.

Paulien G Westhoff1, Alexander de Graeff2, Evelyn M Monninkhof3, Laurens Bollen4, Sander P Dijkstra4, Elzbieta M van der Steen-Banasik5, Marco van Vulpen6, Jan Willem H Leer7, Corrie A Marijnen8, Yvette M van der Linden8.   

Abstract

PURPOSE: Patients with bone metastases have a widely varying survival. A reliable estimation of survival is needed for appropriate treatment strategies. Our goal was to assess the value of simple prognostic factors, namely, patient and tumor characteristics, Karnofsky performance status (KPS), and patient-reported scores of pain and quality of life, to predict survival in patients with painful bone metastases. METHODS AND MATERIALS: In the Dutch Bone Metastasis Study, 1157 patients were treated with radiation therapy for painful bone metastases. At randomization, physicians determined the KPS; patients rated general health on a visual analogue scale (VAS-gh), valuation of life on a verbal rating scale (VRS-vl) and pain intensity. To assess the predictive value of the variables, we used multivariate Cox proportional hazard analyses and C-statistics for discriminative value. Of the final model, calibration was assessed. External validation was performed on a dataset of 934 patients who were treated with radiation therapy for vertebral metastases.
RESULTS: Patients had mainly breast (39%), prostate (23%), or lung cancer (25%). After a maximum of 142 weeks' follow-up, 74% of patients had died. The best predictive model included sex, primary tumor, visceral metastases, KPS, VAS-gh, and VRS-vl (C-statistic = 0.72, 95% CI = 0.70-0.74). A reduced model, with only KPS and primary tumor, showed comparable discriminative capacity (C-statistic = 0.71, 95% CI = 0.69-0.72). External validation showed a C-statistic of 0.72 (95% CI = 0.70-0.73). Calibration of the derivation and the validation dataset showed underestimation of survival.
CONCLUSION: In predicting survival in patients with painful bone metastases, KPS combined with primary tumor was comparable to a more complex model. Considering the amount of variables in complex models and the additional burden on patients, the simple model is preferred for daily use. In addition, a risk table for survival is provided.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25260489     DOI: 10.1016/j.ijrobp.2014.07.051

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  18 in total

1.  Personalized Treatment Selection Leads to Low Rates of Local Salvage Therapy for Bone Metastases.

Authors:  Noah J Mathis; Connor J Doyle; Daniel B Rosen; N Ari Wijetunga; Max Vaynrub; Meredith Bartelstein; David M Guttmann; Victoria S Brennan; Yoshiya J Yamada; Erin F Gillespie; Divya Yerramilli; Jonathan T Yang
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-10-26       Impact factor: 8.013

2.  Automated Survival Prediction in Metastatic Cancer Patients Using High-Dimensional Electronic Medical Record Data.

Authors:  Michael F Gensheimer; A Solomon Henry; Douglas J Wood; Trevor J Hastie; Sonya Aggarwal; Sara A Dudley; Pooja Pradhan; Imon Banerjee; Eunpi Cho; Kavitha Ramchandran; Erqi Pollom; Albert C Koong; Daniel L Rubin; Daniel T Chang
Journal:  J Natl Cancer Inst       Date:  2019-06-01       Impact factor: 13.506

Review 3.  Metastatic Osseous Pain Control: Radiation Therapy.

Authors:  Josephine Kang; Silvia C Formenti
Journal:  Semin Intervent Radiol       Date:  2017-12-14       Impact factor: 1.513

4.  Patient-reported symptoms before palliative radiotherapy predict survival differences.

Authors:  Carsten Nieder; Thomas A Kämpe; Adam Pawinski; Astrid Dalhaug
Journal:  Strahlenther Onkol       Date:  2018-01-17       Impact factor: 3.621

5.  Developing an Improved Statistical Approach for Survival Estimation in Bone Metastases Management: The Bone Metastases Ensemble Trees for Survival (BMETS) Model.

Authors:  Sara R Alcorn; Jacob Fiksel; Jean L Wright; Christen R Elledge; Thomas J Smith; Powell Perng; Sarah Saleemi; Todd R McNutt; Theodore L DeWeese; Scott Zeger
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-05-22       Impact factor: 7.038

6.  Treatment of pathological fractures of the long bones.

Authors:  Julie J Willeumier; Yvette M van der Linden; Michiel A J van de Sande; P D Sander Dijkstra
Journal:  EFORT Open Rev       Date:  2017-03-13

7.  Effectiveness of several external beam radiotherapy schedules for palliation of esophageal cancer.

Authors:  Natasja R Walterbos; Marta Fiocco; Karen J Neelis; Yvette M van der Linden; Alexandra M J Langers; Marije Slingerland; Wobbe O de Steur; Femke P Peters; Irene M Lips
Journal:  Clin Transl Radiat Oncol       Date:  2019-04-24

8.  Overall survival after reirradiation of spinal metastases - independent validation of predictive models.

Authors:  Daniel Buergy; Lena Siedlitzki; Judit Boda-Heggemann; Frederik Wenz; Frank Lohr
Journal:  Radiat Oncol       Date:  2016-03-08       Impact factor: 3.481

Review 9.  Diagnostic algorithm, prognostic factors and surgical treatment of metastatic cancer diseases of the long bones and spine.

Authors:  Miklós Szendrői; Imre Antal; Attila Szendrői; Áron Lazáry; Péter Pál Varga
Journal:  EFORT Open Rev       Date:  2017-09-01

10.  An easy-to-use scoring system to estimate the survival of patients irradiated for bone metastases from lung cancer.

Authors:  Dirk Rades; Rapha Haus; Stefan Janssen; Steven E Schild
Journal:  Transl Lung Cancer Res       Date:  2020-08
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