Abstract

e16521 Background: Measurements of performance status with the Eastern Cooperative Oncology Group Performance Status (ECOG-PS) score are widely used to stratify subjects at clinical trial entry are correlated with treatment outcome; however, ECOG-PS is rarely tracked over time. Longitudinal ECOG-PS measurement between tumor types may provide important data for patient management in community settings, therefore this study examined the distribution of ECOG-PS by tumor type from diagnosis through the subsequent 12 months in community oncology clinics. Methods: We retrieved ECOG-PS scores (0=best, 5=dead) from the electronic medical records (EMRs) of 47 general oncology/hematology clinics across the US. Patients included had ICD-9 diagnostic codes for breast, lymphoma, prostate, colorectal and lung cancers and ECOG-PS score recorded within 14 days of diagnosis date. All patients with at least one ECOG-PS measurement were included in the study. Descriptive statistics of ECOG-PS at diagnosis and by longitudinal month were analyzed as means with standard deviation. ECOG-PS at diagnosis was compared between tumor types using Wilcoxon rank sum test. Results: A total of 28,754 cancer patients were identified from the EMR: 10,489 breast, 4,072 lymphoma, 2,769 prostate, 4,636 colorectal, and 7,252 lung. At baseline, mean (SD) ECOG-PS scores were: breast, 0.56 (0.79); lymphoma, 0.67 (0.83); prostate, 0.75 (0.91); colorectal, 0.85 (0.88); and lung, 1.17 (0.95). Mean scores within tumor types remained stable over the 12 following months. Proportion of patients with ECOG-PS <2 at diagnosis was 89%, 87%, 82%, 81% and 68% for each tumor respectively. Pairwise comparisons of baseline ECOG-PS between tumor types were all statistically significant, p<0.05. Conclusions: This study provides a description of a national sampling of community oncology patients’ performance status. Although significant differences between tumor types were found, the persistence of relatively good ECOG-PS in all 5 tumor types over time contrasts with the poor status of patients in clinical trials. These findings offer oncology providers, data upon which resource planning can be based.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call