Prognostic tools for survival prediction in advanced cancer patients: A systematic review

Abstract

Survival prediction for palliative cancer patients by physicians is often optimistic. Patients with a very short life expectancy (<4weeks) may not benefit from radiation therapy (RT), as the time to maximal symptom relief after treatment can take 4-6weeks. We aimed to identify a prognostic tool (or tools) to predict survival of less than 4weeks and less than 3months in patients with advanced cancer to guide the choice of radiation dose and fractionation. We searched Embase, Medline (EBSCOhost) and CINAHL (EBSCOhost) clinical databases for literature published between January 2008 and June 2018. Seventeen studies met the inclusion criteria and were included in the review. Prediction accuracy at less than 4weeks and less than 3months were compared across the prognostic tools. Reporting of prediction accuracy among the different studies was not consistent: the Palliative Prognostic Score (PaP), Palliative Prognostic Index (PPI) and Number of Risk Factors (NRF) best-predicted survival duration of less than 4weeks. The PPI, performance status with Palliative Prognostic Index (PS-PPI), NRF and Survival Prediction Score (SPS) may predict 3-month survival. We recommend PPI and PaP tools to assess the likelihood of a patient surviving less than 4weeks. If predicted to survive longer and RT is justified, the NRF tool could be used to determine survival probability less than 3months which can then help clinicians select dose and fractionation. Future research is needed to verify the reliability of survival prediction using these prognostic tools in a radiation oncology setting.