Annals of Oncology Advance Access originally published online on June 9, 2006
Annals of Oncology 2006 17(7):1037-1038; doi:10.1093/annonc/mdl123
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© 2006 European Society for Medical Oncology
editorial |
Predicting survival in advanced cancer patients: is it possible with patient-reported health status data?
Quality of Life Unit, European Organisation for Research and Treatment of Cancer, AISBL-IVZW, Brussels, Belgium
* (E-mail: abo@eortc.be)
| The first 10% of the full text of this article appears below. |
How long will I live? That is one of the most fundamental questions humans have sought to answer over the ages. This question becomes far more important when patients develop a life threatening illness, such as cancer. Fundamentally, being able to predict how long the patient will survive can be essential in clinical decision making. Determining this key-issue assists clinicians to identify patients who will benefit from treatment; further, it could help avoid over-treatment of patients who will gain no benefit from, often, toxic and aggressive therapies.
There is now huge body of research being conducted to evaluate methods of prognostic analysis. In any mainstream oncology journal, it is increasingly difficult not to read an