Background There is an urgent need for a robust, clinically useful predictive model for survival in a het-erogeneous 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 pro-spectively evaluated by a single radiation oncologist. We retrospectively analyzed the effect of 29 patient, laboratory and tumor-related prognostic factors on overall survival using uni-variate analysis. Variables that were statistically significant on univariate analysis were en-tered into a multivariable Cox regression to identify independent predictors of overall survival. Results The median overall survival was 5.5 months. Four prognostic factors significant...
Object. Estimating survival time in cancer patients is crucial for clinicians, patients, families, a...
Background: Radiotherapy is an important treatment modality for lung cancer patients of all stages: ...
Contains fulltext : 49214.pdf (publisher's version ) (Closed access)BACKGROUND: Ad...
There is an urgent need for a robust, clinically useful predictive model for survival in a heterogen...
Background: The objective of this study was to validate a simple predictive model for survival of pa...
grantor: University of Toronto'Aim'. To develop a predictive model for survival in a palli...
BackgroundThe objective of this study was to validate a simple predictive model for survival of pati...
Item does not contain fulltextPURPOSE: To establish a survival prediction model in the setting of a ...
Survival prediction for palliative cancer patients by physicians is often optimistic. Patients with ...
BACKGROUND: The aim of this study is to estimate prognostic factors predicting survival in patient...
Item does not contain fulltextPURPOSE: Patients with bone metastases have a widely varying survival....
Background: With the improvements in newer chemotherapeutic agents, the role of primary tumour resec...
<p class="p1"><span class="s1"><em>The efficiency of treatment was evaluated and the predictors of a...
common survival prediction model for cancer prognosis. ies have shown an association between patient...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
Object. Estimating survival time in cancer patients is crucial for clinicians, patients, families, a...
Background: Radiotherapy is an important treatment modality for lung cancer patients of all stages: ...
Contains fulltext : 49214.pdf (publisher's version ) (Closed access)BACKGROUND: Ad...
There is an urgent need for a robust, clinically useful predictive model for survival in a heterogen...
Background: The objective of this study was to validate a simple predictive model for survival of pa...
grantor: University of Toronto'Aim'. To develop a predictive model for survival in a palli...
BackgroundThe objective of this study was to validate a simple predictive model for survival of pati...
Item does not contain fulltextPURPOSE: To establish a survival prediction model in the setting of a ...
Survival prediction for palliative cancer patients by physicians is often optimistic. Patients with ...
BACKGROUND: The aim of this study is to estimate prognostic factors predicting survival in patient...
Item does not contain fulltextPURPOSE: Patients with bone metastases have a widely varying survival....
Background: With the improvements in newer chemotherapeutic agents, the role of primary tumour resec...
<p class="p1"><span class="s1"><em>The efficiency of treatment was evaluated and the predictors of a...
common survival prediction model for cancer prognosis. ies have shown an association between patient...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
Object. Estimating survival time in cancer patients is crucial for clinicians, patients, families, a...
Background: Radiotherapy is an important treatment modality for lung cancer patients of all stages: ...
Contains fulltext : 49214.pdf (publisher's version ) (Closed access)BACKGROUND: Ad...
Add to ORKG