Literature DB >> 16135474

Survival in patients operated on for pathologic fracture: implications for end-of-life orthopedic care.

Saminathan S Nathan1, John H Healey, Danilo Mellano, Bang Hoang, Isobel Lewis, Carol D Morris, Edward A Athanasian, Patrick J Boland.   

Abstract

PURPOSE: Life expectancy is routinely used as part of the decision-making process in deciding the value of surgery for the treatment of bone metastases. We sought to investigate the validity of frequently used indices in the prognostication of survival in patients with metastatic bone disease.
METHODS: The study prospectively assessed 191 patients who underwent surgery for metastatic bone disease. Diagnostic, staging, nutritional, and hematologic parameters cited to be related to life expectancy were evaluated. Preoperatively, the surgeon recorded an estimate of projected life expectancy for each patient. The time until death was recorded.
RESULTS: Kaplan-Meier survival analyses indicated that the survival estimate, primary diagnosis, use of systemic therapy, Eastern Cooperative Oncology Group (ECOG) performance status, number of bone metastases, presence of visceral metastases, and serum hemoglobin, albumin, and lymphocyte counts were significant for predicting survival (P < .004). Cox regression analysis indicated that the independently significant predictors of survival were diagnosis (P < .006), ECOG performance status (P < .04), number of bone metastases (P < .008), presence of visceral metastases (P < .03), hemoglobin count (P < .009), and survival estimate (P < .00005). Diagnosis, ECOG performance status, and visceral metastases covaried with surgeon survival estimate. Linear regression and receiver-operator characteristic assessment confirmed that clinician estimation was the most accurate predictor of survival, followed by hemoglobin count, number of visceral metastases, ECOG performance status, primary diagnosis, and number of bone metastases. Nevertheless, survival estimate was accurate in predicting actual survival in only 33 (18%) of 181 patients.
CONCLUSION: A better means of prognostication is needed. In this article, we present a sliding scale for this purpose.

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Year:  2005        PMID: 16135474     DOI: 10.1200/JCO.2005.08.104

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  58 in total

1.  High Risk of Symptomatic Venous Thromboembolism After Surgery for Spine Metastatic Bone Lesions: A Retrospective Study.

Authors:  Olivier Q Groot; Paul T Ogink; Nuno Rei Paulino Pereira; Marco L Ferrone; Mitchell B Harris; Santiago A Lozano-Calderon; Andrew J Schoenfeld; Joseph H Schwab
Journal:  Clin Orthop Relat Res       Date:  2019-07       Impact factor: 4.176

2.  OPF/PMMA cage system as an alternative approach for the treatment of vertebral corpectomy.

Authors:  Asghar Rezaei; Hugo Giambini; Alan L Miller; Xifeng Liu; Benjamin D Elder; Michael J Yaszemski; Lichun Lu
Journal:  Appl Sci (Basel)       Date:  2020-10-02       Impact factor: 2.679

3.  2015 Marshall Urist Young Investigator Award: Prognostication in Patients With Long Bone Metastases: Does a Boosting Algorithm Improve Survival Estimates?

Authors:  Stein J Janssen; Andrea S van der Heijden; Maarten van Dijke; John E Ready; Kevin A Raskin; Marco L Ferrone; Francis J Hornicek; Joseph H Schwab
Journal:  Clin Orthop Relat Res       Date:  2015-07-09       Impact factor: 4.176

4.  In brief: classifications in brief: Mirels' classification: metastatic disease in long bones and impending pathologic fracture.

Authors:  Muhammad Umar Jawad; Sean P Scully
Journal:  Clin Orthop Relat Res       Date:  2010-10       Impact factor: 4.176

5.  Are Allogeneic Blood Transfusions Associated With Decreased Survival After Surgery for Long-bone Metastatic Fractures?

Authors:  Stein J Janssen; Yvonne Braun; John E Ready; Kevin A Raskin; Marco L Ferrone; Francis J Hornicek; Joseph H Schwab
Journal:  Clin Orthop Relat Res       Date:  2015-01-31       Impact factor: 4.176

6.  Surgical technique: Porous tantalum reconstruction for destructive nonprimary periacetabular tumors.

Authors:  Fazel A Khan; Peter S Rose; Michiro Yanagisawa; David G Lewallen; Franklin H Sim
Journal:  Clin Orthop Relat Res       Date:  2011-10-12       Impact factor: 4.176

7.  Risk factors for same-admission mortality after pathologic fracture secondary to metastatic cancer.

Authors:  Nicole K Behnke; Dustin K Baker; Shin Xu; Thomas E Niemeier; Shawna L Watson; Brent A Ponce
Journal:  Support Care Cancer       Date:  2016-10-04       Impact factor: 3.603

Review 8.  Reporting methods in studies developing prognostic models in cancer: a review.

Authors:  Susan Mallett; Patrick Royston; Susan Dutton; Rachel Waters; Douglas G Altman
Journal:  BMC Med       Date:  2010-03-30       Impact factor: 8.775

Review 9.  Reporting performance of prognostic models in cancer: a review.

Authors:  Susan Mallett; Patrick Royston; Rachel Waters; Susan Dutton; Douglas G Altman
Journal:  BMC Med       Date:  2010-03-30       Impact factor: 8.775

Review 10.  Treatment for long bone metastases based on a systematic literature review.

Authors:  Costantino Errani; Andreas F Mavrogenis; Luca Cevolani; Silvia Spinelli; Andrea Piccioli; Giulio Maccauro; Nicola Baldini; Davide Donati
Journal:  Eur J Orthop Surg Traumatol       Date:  2016-09-20
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