Patient Self-Reports of Symptoms and Clinician Ratings as Predictors of Overall Cancer Survival

C. Quinten, J. Maringwa, C.C. Gotay, F. Martinelli, C. Coens, B.B. Reeve, H. Flechtner, E. Greimel, M. King, D. Osoba, C. Cleeland, J. Ringash, J. Koch, M.J.B. Taphoorn, J. Weis, A. Bottomley

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background The National Cancer Institute's Common Terminology Criteria for Adverse Events (NCI-CTCAE) reporting system is widely used by clinicians to measure patient symptoms in clinical trials. The European Organization for Research and Treatment of Cancer's Quality of Life core questionnaire (EORTC QLQ-C30) enables cancer patients to rate their symptoms related to their quality of life. We examined the extent to which patient and clinician symptom scoring and their agreement could contribute to the estimation of overall survival among cancer patients. Methods We analyzed baseline data regarding six cancer symptoms (pain, fatigue, vomiting, nausea, diarrhea, and constipation) from a total of 2279 cancer patients from 14 closed EORTC randomized controlled trials. In each trial that was selected for retrospective pooled analysis, both clinician and patient symptom scoring were reported simultaneously at study entry. We assessed the extent of agreement between clinician vs patient symptom scoring using the Spearman and kappa correlation statistics. After adjusting for age, sex, performance status, cancer severity, and cancer site, we used Harrell concordance index (C-index) to compare the potential for clinician-reported and/or patient-reported symptom scores to improve the accuracy of Cox models to predict overall survival. All P values are from two-sided tests. Results Patient-reported scores for some symptoms, particularly fatigue, did differ from clinician-reported scores. For each of the six symptoms that we assessed at baseline, both clinician and patient scorings contributed independently and positively to the predictive accuracy of survival prognostication. Cox models of overall survival that considered both patient and clinician scores gained more predictive accuracy than models that considered clinician scores alone for each of four symptoms: fatigue (C-index = .67 with both patient and clinician data vs C-index = .63 with clinician data only; P <.001), vomiting (C-index = .64 vs .62; P = .01), nausea (C-index = .65 vs .62; P <.001), and constipation (C-index = .62 vs .61; P = .01). Conclusion Patients provide a subjective measure of symptom severity that complements clinician scoring in predicting overall survival
Original languageUndefined/Unknown
Pages (from-to)1851-1858
JournalJournal of the National Cancer Institute
Volume103
Issue number24
DOIs
Publication statusPublished - 2011

Cite this

Quinten, C., Maringwa, J., Gotay, C. C., Martinelli, F., Coens, C., Reeve, B. B., ... Bottomley, A. (2011). Patient Self-Reports of Symptoms and Clinician Ratings as Predictors of Overall Cancer Survival. Journal of the National Cancer Institute, 103(24), 1851-1858. https://doi.org/10.1093/jnci/djr485