Literature DB >> 29406340

An Easy-to-Use Prognostic Model for Survival Estimation for Patients with Symptomatic Long Bone Metastases.

J J Willeumier1, Y M van der Linden1, C W P G van der Wal1, P C Jutte2, J M van der Velden3, M A Smolle4, P van der Zwaal5, P Koper5, L Bakri6, I de Pree7, A Leithner4, M Fiocco1,8, P D S Dijkstra1.   

Abstract

BACKGROUND: A survival estimation for patients with symptomatic long bone metastases (LBM) is crucial to prevent overtreatment and undertreatment. This study analyzed prognostic factors for overall survival and developed a simple, easy-to-use prognostic model.
METHODS: A multicenter retrospective study of 1,520 patients treated for symptomatic LBM between 2000 and 2013 at the radiation therapy and/or orthopaedic departments was performed. Primary tumors were categorized into 3 clinical profiles (favorable, moderate, or unfavorable) according to an existing classification system. Associations between prognostic variables and overall survival were investigated using the Kaplan-Meier method and multivariate Cox regression models. The discriminatory ability of the developed model was assessed with the Harrell C-statistic. The observed and expected survival for each survival category were compared on the basis of an external cohort.
RESULTS: Median overall survival was 7.4 months (95% confidence interval [CI], 6.7 to 8.1 months). On the basis of the independent prognostic factors, namely the clinical profile, Karnofsky Performance Score, and presence of visceral and/or brain metastases, 12 prognostic categories were created. The Harrell C-statistic was 0.70. A flowchart was developed to easily stratify patients. Using cutoff points for clinical decision-making, the 12 categories were narrowed down to 4 categories with clinical consequences. Median survival was 21.9 months (95% CI, 18.7 to 25.1 months), 10.5 months (95% CI, 7.9 to 13.1 months), 4.6 months (95% CI, 3.9 to 5.3 months), and 2.2 months (95% CI, 1.8 to 2.6 months) for the 4 categories.
CONCLUSIONS: This study presents a model to easily stratify patients with symptomatic LBM according to their expected survival. The simplicity and clarity of the model facilitate and encourage its use in the routine care of patients with LBM, to provide the most appropriate treatment for each individual patient. LEVEL OF EVIDENCE: Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.

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Year:  2018        PMID: 29406340     DOI: 10.2106/JBJS.16.01514

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  17 in total

1.  What Factors Are Associated With Implant Breakage and Revision After Intramedullary Nailing for Femoral Metastases?

Authors:  Julie J Willeumier; Mustafa Kaynak; Peer van der Zwaal; Sven A G Meylaerts; Nina M C Mathijssen; Paul C Jutte; Panagiotis Tsagozis; Rikard Wedin; Michiel A J van de Sande; Marta Fiocco; P D Sander Dijkstra
Journal:  Clin Orthop Relat Res       Date:  2018-09       Impact factor: 4.176

2.  CORR Insights®: External Validation and Optimization of the SPRING Model for Prediction of Survival After Surgical Treatment of Bone Metastases of the Extremities.

Authors:  Benjamin K Potter
Journal:  Clin Orthop Relat Res       Date:  2018-08       Impact factor: 4.176

3.  C-reactive protein and tumour diagnosis predict survival in patients treated surgically for long bone metastases.

Authors:  Costantino Errani; Monica Cosentino; Giovanni Ciani; Lorenzo Ferra; Patricio A Alfaro; Barbara Bordini; Davide M Donati
Journal:  Int Orthop       Date:  2021-01-04       Impact factor: 3.075

4.  Body composition predictors of mortality in patients undergoing surgery for long bone metastases.

Authors:  Olivier Q Groot; Michiel E R Bongers; Colleen G Buckless; Peter K Twining; Neal D Kapoor; Stein J Janssen; Joseph H Schwab; Martin Torriani; Miriam A Bredella
Journal:  J Surg Oncol       Date:  2022-01-13       Impact factor: 2.885

5.  Factors Affecting Life Expectancy After Bone Metastasis in Adults - Results of a 5-year Prospective Study.

Authors:  Balaji Zacharia; Jerin Joy; Dhiyaneswaran Subramaniam; Puneeth Katapadi Pai
Journal:  Indian J Surg Oncol       Date:  2021-08-30

6.  Prediction of survival after surgical management of femoral metastatic bone disease - A comparison of prognostic models.

Authors:  Charles Meares; Alexander Badran; David Dewar
Journal:  J Bone Oncol       Date:  2019-02-13       Impact factor: 4.072

7.  Surgical Treatment of Metastatic Bone Disease-When Decisions at End-of-Life Really Makes the Difference.

Authors:  Michala Skovlund Sørensen; Michael Mørk Petersen
Journal:  Cancers (Basel)       Date:  2021-05-25       Impact factor: 6.639

8.  Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease.

Authors:  Quirina C B S Thio; Aditya V Karhade; Bas JJ Bindels; Paul T Ogink; Jos A M Bramer; Marco L Ferrone; Santiago Lozano Calderón; Kevin A Raskin; Joseph H Schwab
Journal:  Clin Orthop Relat Res       Date:  2020-02       Impact factor: 4.755

9.  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

10.  Prognostic and risk factors in patients with metastatic bone disease of an upper extremity.

Authors:  Taweechok Wisanuyotin; Winai Sirichativapee; Chat Sumnanoont; Permsak Paholpak; Pat Laupattarakasem; Kamonsak Sukhonthamarn; Weerachai Kosuwon
Journal:  J Bone Oncol       Date:  2018-09-22       Impact factor: 4.072

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