Abstract Background The TEACHH and Chow models were developed to predict life expectancy (LE) in patients evaluated for palliative radiotherapy (PRT). We sought to validate the TEACHH and Chow models in patients who died within 90 days of PRT consultation. Methods A retrospective review was conducted on patients evaluated for PRT from 2017 to 2019 who died within 90 days of consultation. Data were collected for the TEACHH and Chow models; one point was assigned for each adverse factor. TEACHH model included: primary site of disease, ECOG performance status, age, prior palliative chemotherapy courses, hospitalization within the last 3 months, and presence of hepatic metastases; patients with 0‐1, 2‐4, and 5‐6 adverse factors were categorized...
Background: Several measurements defining the expected 30-day mortality (30-DM) to use in audit of r...
Background: Early death after a treatment can be seen as a therapeutic failure. Accurate prediction ...
BackgroundPrognostication can be used within a tailored decision-making process to achieve a more pe...
We developed a predictive score system for 30-day mortality after palliative radiotherapy by using p...
We developed a predictive score system for 30-day mortality after palliative radiotherapy by using p...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
grantor: University of Toronto'Aim'. To develop a predictive model for survival in a palli...
Survival prediction for palliative cancer patients by physicians is often optimistic. Patients with ...
Abstract Background A significant proportion of patients with advanced cancer undergo palliative rad...
AimsSurvival benefit of liver cancer patients who undergo palliative radiotherapy varies from person...
This cohort study of patients with advanced cancer who received palliative radiotherapy within 30 da...
BackgroundThe objective of this study was to validate a simple predictive model for survival of pati...
BackgroundA significant proportion of patients with advanced cancer undergo palliative radiotherapy ...
Background: The expected 30-day mortality rate for patients treated with palliative radiation is not...
Introduction: For patients with brain metastases, palliative radiation therapy (RT) has long been a ...
Background: Several measurements defining the expected 30-day mortality (30-DM) to use in audit of r...
Background: Early death after a treatment can be seen as a therapeutic failure. Accurate prediction ...
BackgroundPrognostication can be used within a tailored decision-making process to achieve a more pe...
We developed a predictive score system for 30-day mortality after palliative radiotherapy by using p...
We developed a predictive score system for 30-day mortality after palliative radiotherapy by using p...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
grantor: University of Toronto'Aim'. To develop a predictive model for survival in a palli...
Survival prediction for palliative cancer patients by physicians is often optimistic. Patients with ...
Abstract Background A significant proportion of patients with advanced cancer undergo palliative rad...
AimsSurvival benefit of liver cancer patients who undergo palliative radiotherapy varies from person...
This cohort study of patients with advanced cancer who received palliative radiotherapy within 30 da...
BackgroundThe objective of this study was to validate a simple predictive model for survival of pati...
BackgroundA significant proportion of patients with advanced cancer undergo palliative radiotherapy ...
Background: The expected 30-day mortality rate for patients treated with palliative radiation is not...
Introduction: For patients with brain metastases, palliative radiation therapy (RT) has long been a ...
Background: Several measurements defining the expected 30-day mortality (30-DM) to use in audit of r...
Background: Early death after a treatment can be seen as a therapeutic failure. Accurate prediction ...
BackgroundPrognostication can be used within a tailored decision-making process to achieve a more pe...