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Dataset Information

Clinicians' Prediction of Survival Is Most Useful for Palliative Care Referral.


ABSTRACT:

Background

Timely palliative transition in patients with advanced cancer is essential for their improved quality of life and overall survival (OS). Most prognostic models have been developed focusing on weeks' survival. The current study aimed to compare the accuracies of several indicators, such as the Karnofsky Performance Scale (KPS), Clinicians' Prediction of Survival (CPS), and Edmonton Symptom Assessment System (ESAS), for predicting the survival of patients.

Methods

Two hundred patients were enrolled at a single tertiary cancer center in South Korea between 2016 and 2019. We compared the discrimination of CPS versus KPS and ESAS total scores using the area under the receiver operating characteristic curve (AUROC) in 3-month and 6-month survival predictions.

Results

SUBMITTER: Jung EH 

PROVIDER: S-EPMC11392678 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature