Dealing with prognostic uncertainty: the role of prognostic... : Current Opinion in Supportive
and Palliative Care Dealing with prognostic uncertainty: the role of prognostic models and …

Background Prognosis is a key driver of clinical decision-making. However, available
prognostication tools have limited accuracy and variable levels of validation. Methods …

Prognostication of life expectancy is of utmost importance to patients, families, and
oncologists, particularly in the advanced cancer setting. Accurate prognostication is …

Cancer prognosis is of keen interest for patients with cancer, their caregivers, and providers.
Prognostic tools have been developed to guide patient–physician communication and …

Background A second opinion or a prognostic algorithm may increase prognostic accuracy.
This study assessed the level to which clinicians integrate advice perceived to be coming …

Importance Existing prognostic cancer tools include biological and laboratory variables.
However, patients often do not know this information, preventing them from using the tools …

The objective of this review is to provide an update on prognostication in patients with
advanced cancer and to discuss future directions for research in this field. Accurate …

Prognostication is an important clinical skill for all clinicians, particularly those clinicians
working with patients with advanced cancer. However, doctors can be hesitant about …

Simple Summary This systematic review and meta-analysis describes the predictors of
mortality in patients with advanced cancer. The results indicate that disease stage, lung …

Background Appropriate choice and use of prognostic models in clinical practice require the
use of good methods for both model development, and for developing prognostic indices …