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

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 evalua...

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Autores principales: Kao, Johnny, Gold, Kenneth D., Zarrili, Gina, Copel, Emily, Silverman, Andrew J., Ramsaran, Shanata S., Yens, David, Ryu, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404053/
https://www.ncbi.nlm.nih.gov/pubmed/25894552
http://dx.doi.org/10.1371/journal.pone.0124329
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author Kao, Johnny
Gold, Kenneth D.
Zarrili, Gina
Copel, Emily
Silverman, Andrew J.
Ramsaran, Shanata S.
Yens, David
Ryu, Samuel
author_facet Kao, Johnny
Gold, Kenneth D.
Zarrili, Gina
Copel, Emily
Silverman, Andrew J.
Ramsaran, Shanata S.
Yens, David
Ryu, Samuel
author_sort Kao, Johnny
collection PubMed
description 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. <2.4 and primary tumor site (Breast, Kidney or Prostate vs. Other). Risk group stratification was performed by assigning points for adverse prognostic factors resulting in very low, low, intermediate and high risk groups. The median survival was >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<0.001). CONCLUSIONS: These data suggest that a model that considers performance status, extent of disease, primary tumor site and serum albumin represents a simple model to accurately predict survival for patients with stage IV cancer who are potential candidates for radiation therapy.
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spelling pubmed-44040532015-05-02 Clinical Predictors of Survival for Patients with Stage IV Cancer Referred to Radiation Oncology Kao, Johnny Gold, Kenneth D. Zarrili, Gina Copel, Emily Silverman, Andrew J. Ramsaran, Shanata S. Yens, David Ryu, Samuel PLoS One Research Article 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. <2.4 and primary tumor site (Breast, Kidney or Prostate vs. Other). Risk group stratification was performed by assigning points for adverse prognostic factors resulting in very low, low, intermediate and high risk groups. The median survival was >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<0.001). CONCLUSIONS: These data suggest that a model that considers performance status, extent of disease, primary tumor site and serum albumin represents a simple model to accurately predict survival for patients with stage IV cancer who are potential candidates for radiation therapy. Public Library of Science 2015-04-20 /pmc/articles/PMC4404053/ /pubmed/25894552 http://dx.doi.org/10.1371/journal.pone.0124329 Text en © 2015 Kao et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kao, Johnny
Gold, Kenneth D.
Zarrili, Gina
Copel, Emily
Silverman, Andrew J.
Ramsaran, Shanata S.
Yens, David
Ryu, Samuel
Clinical Predictors of Survival for Patients with Stage IV Cancer Referred to Radiation Oncology
title Clinical Predictors of Survival for Patients with Stage IV Cancer Referred to Radiation Oncology
title_full Clinical Predictors of Survival for Patients with Stage IV Cancer Referred to Radiation Oncology
title_fullStr Clinical Predictors of Survival for Patients with Stage IV Cancer Referred to Radiation Oncology
title_full_unstemmed Clinical Predictors of Survival for Patients with Stage IV Cancer Referred to Radiation Oncology
title_short Clinical Predictors of Survival for Patients with Stage IV Cancer Referred to Radiation Oncology
title_sort clinical predictors of survival for patients with stage iv cancer referred to radiation oncology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404053/
https://www.ncbi.nlm.nih.gov/pubmed/25894552
http://dx.doi.org/10.1371/journal.pone.0124329
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