Clinical Predictors of Survival for Patients with Stage IV Cancer Referred to Radiation Oncology

Johnny Kao, Kenneth D Gold, Gina Zarrili, Emily Copel, Andrew J Silverman, Shanata S Ramsaran, David Yens and Samuel Ryu

PLOS ONE, 2015, vol. 10, issue 4, 1-11

Abstract: Background: There is an urgent need for a robust, clinically useful predictive model for survival in a heterogeneous group of patients with metastatic cancer referred to radiation oncology. Methods: From May 2012 to August 2013, 143 consecutive patients with stage IV cancer were prospectively evaluated by a single radiation oncologist. We retrospectively analyzed the effect of 29 patient, laboratory and tumor-related prognostic factors on overall survival using univariate analysis. Variables that were statistically significant on univariate analysis were entered into a multivariable Cox regression to identify independent predictors of overall survival. Results: The median overall survival was 5.5 months. Four prognostic factors significantly predicted survival on multivariable analysis including ECOG performance status (0–1 vs. 2 vs. 3–4), number of active tumors (1 to 5 vs. ≥6), albumin levels (≥3.4 vs. 2.4 to 3.3 vs. 31.4 months for very low risk patients compared to 14.5 months for low risk, 4.1 months for intermediate risk and 1.2 months for high risk (p

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0124329

DOI: 10.1371/journal.pone.0124329

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