Literature DB >> 22157640

Patient self-reports of symptoms and clinician ratings as predictors of overall cancer survival.

Chantal Quinten1, John Maringwa, Carolyn C Gotay, Francesca Martinelli, Corneel Coens, Bryce B Reeve, Henning Flechtner, Eva Greimel, Madeleine King, David Osoba, Charles Cleeland, Jolie Ringash, Joseph Schmucker-Von Koch, Martin J B Taphoorn, Joachim Weis, Andrew Bottomley.   

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.

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Year:  2011        PMID: 22157640      PMCID: PMC3243678          DOI: 10.1093/jnci/djr485

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  27 in total

1.  Assessing health-related quality of life in palliative care: comparing patient and physician assessments.

Authors:  Morten Aa Petersen; Henrik Larsen; Lise Pedersen; Nan Sonne; Mogens Groenvold
Journal:  Eur J Cancer       Date:  2006-04-18       Impact factor: 9.162

2.  The need for and characteristics of randomized, phase III trials to evaluate symptom management in patients with cancer.

Authors:  Claudette G Varricchio; Jeff A Sloan
Journal:  J Natl Cancer Inst       Date:  2002-08-21       Impact factor: 13.506

3.  Does a patient's self-reported health-related quality of life predict survival beyond key biomedical data in advanced colorectal cancer?

Authors:  Fabio Efficace; Andrew Bottomley; Corneel Coens; Kristel Van Steen; Thierry Conroy; Patrick Schöffski; Hans Schmoll; Eric Van Cutsem; Claus-Henning Köhne
Journal:  Eur J Cancer       Date:  2005-11-18       Impact factor: 9.162

4.  Ensuring the quality of quality of life data: the Southwest Oncology Group experience.

Authors:  C M Moinpour; L C Lovato
Journal:  Stat Med       Date:  1998 Mar 15-Apr 15       Impact factor: 2.373

5.  Prognostic factors and long-term survival in 585 patients with metastatic breast cancer treated with epirubicin-based chemotherapy.

Authors:  M Ryberg; D Nielsen; K Osterlind; T Skovsgaard; P Dombernowsky
Journal:  Ann Oncol       Date:  2001-01       Impact factor: 32.976

6.  A 12 country field study of the EORTC QLQ-C30 (version 3.0) and the head and neck cancer specific module (EORTC QLQ-H&N35) in head and neck patients. EORTC Quality of Life Group.

Authors:  K Bjordal; A de Graeff; P M Fayers; E Hammerlid; C van Pottelsberghe; D Curran; M Ahlner-Elmqvist; E J Maher; J W Meyza; A Brédart; A L Söderholm; J J Arraras; J S Feine; H Abendstein; R P Morton; T Pignon; P Huguenin; A Bottomly; S Kaasa
Journal:  Eur J Cancer       Date:  2000-09       Impact factor: 9.162

7.  Extent and determinants of error in doctors' prognoses in terminally ill patients: prospective cohort study.

Authors:  N A Christakis; E B Lamont
Journal:  BMJ       Date:  2000-02-19

8.  Perception of quality of life by patients, partners and treating physicians.

Authors:  K A Wilson; A J Dowling; M Abdolell; I F Tannock
Journal:  Qual Life Res       Date:  2000       Impact factor: 4.147

9.  Patient versus clinician symptom reporting using the National Cancer Institute Common Terminology Criteria for Adverse Events: results of a questionnaire-based study.

Authors:  Ethan Basch; Alexia Iasonos; Tiffani McDonough; Allison Barz; Ann Culkin; Mark G Kris; Howard I Scher; Deborah Schrag
Journal:  Lancet Oncol       Date:  2006-11       Impact factor: 41.316

10.  Toxicity and quality of life outcomes in ovarian cancer patients participating in randomized controlled trials.

Authors:  Elfriede R Greimel; Vesna Bjelic-Radisic; Jacobus Pfisterer; Felix Hilpert; Fedor Daghofer; Eric Pujade-Lauraine; Andreas du Bois
Journal:  Support Care Cancer       Date:  2010-08-06       Impact factor: 3.603

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  71 in total

1.  Validity and Reliability of the US National Cancer Institute's Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE).

Authors:  Amylou C Dueck; Tito R Mendoza; Sandra A Mitchell; Bryce B Reeve; Kathleen M Castro; Lauren J Rogak; Thomas M Atkinson; Antonia V Bennett; Andrea M Denicoff; Ann M O'Mara; Yuelin Li; Steven B Clauser; Donna M Bryant; James D Bearden; Theresa A Gillis; Jay K Harness; Robert D Siegel; Diane B Paul; Charles S Cleeland; Deborah Schrag; Jeff A Sloan; Amy P Abernethy; Deborah W Bruner; Lori M Minasian; Ethan Basch
Journal:  JAMA Oncol       Date:  2015-11       Impact factor: 31.777

2.  The symptom burden of non-small cell lung cancer in the USA: a real-world cross-sectional study.

Authors:  Shrividya Iyer; Adam Roughley; Alex Rider; Gavin Taylor-Stokes
Journal:  Support Care Cancer       Date:  2013-09-12       Impact factor: 3.603

3.  Comparing Physician and Nurse Eastern Cooperative Oncology Group Performance Status (ECOG-PS) Ratings as Predictors of Clinical Outcomes in Patients with Cancer.

Authors:  Elad Neeman; Gillian Gresham; Navasard Ovasapians; Andrew Hendifar; Richard Tuli; Robert Figlin; Arvind Shinde
Journal:  Oncologist       Date:  2019-06-21

4.  Quality of life in cancer patients-a comparison of inpatient, outpatient, and rehabilitation settings.

Authors:  Andreas Hinz; Joachim Weis; Hermann Faller; Elmar Brähler; Martin Härter; Monika Keller; Holger Schulz; Karl Wegscheider; Uwe Koch; Kristina Geue; Heide Götze; Anja Mehnert
Journal:  Support Care Cancer       Date:  2018-04-26       Impact factor: 3.603

5.  Development of the National Cancer Institute's patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE).

Authors:  Ethan Basch; Bryce B Reeve; Sandra A Mitchell; Steven B Clauser; Lori M Minasian; Amylou C Dueck; Tito R Mendoza; Jennifer Hay; Thomas M Atkinson; Amy P Abernethy; Deborah W Bruner; Charles S Cleeland; Jeff A Sloan; Ram Chilukuri; Paul Baumgartner; Andrea Denicoff; Diane St Germain; Ann M O'Mara; Alice Chen; Joseph Kelaghan; Antonia V Bennett; Laura Sit; Lauren Rogak; Allison Barz; Diane B Paul; Deborah Schrag
Journal:  J Natl Cancer Inst       Date:  2014-09-29       Impact factor: 13.506

6.  Improvement in Patient-Reported Outcomes With Intensity-Modulated Radiotherapy (RT) Compared With Standard RT: A Report From the NRG Oncology RTOG 1203 Study.

Authors:  Anamaria R Yeung; Stephanie L Pugh; Ann H Klopp; Karen M Gil; Lari Wenzel; Shannon N Westin; David K Gaffney; William Small; Spencer Thompson; Desiree E Doncals; Guilherme H C Cantuaria; Brian P Yaremko; Amy Chang; Vijayananda Kundapur; Dasarahally S Mohan; Michael L Haas; Yong Bae Kim; Catherine L Ferguson; Snehal Deshmukh; Deborah W Bruner; Lisa A Kachnic
Journal:  J Clin Oncol       Date:  2020-02-19       Impact factor: 44.544

Review 7.  Quality of Life-Focused Decision-Making for Prostate Cancer.

Authors:  Jeffrey Shevach; Adam Weiner; Alicia K Morgans
Journal:  Curr Urol Rep       Date:  2019-08-29       Impact factor: 3.092

8.  Patient-reported outcomes (PRO) focused on adverse events (PRO-AEs) in adjuvant and metastatic breast cancer: clinical and translational implications.

Authors:  Stefan Stefanovic; Markus Wallwiener; Uros Karic; Christoph Domschke; Luka Katic; Florin-Andrei Taran; Aleksandra Pesic; Andreas Hartkopf; Peyman Hadji; Martin Teufel; Florian Schuetz; Christof Sohn; Peter Fasching; Andreas Schneeweiss; Sara Brucker
Journal:  Support Care Cancer       Date:  2016-10-17       Impact factor: 3.603

Review 9.  Patient-reported outcomes as end points and outcome indicators in solid tumours.

Authors:  Angeles A Secord; Robert L Coleman; Laura J Havrilesky; Amy P Abernethy; Gregory P Samsa; David Cella
Journal:  Nat Rev Clin Oncol       Date:  2015-03-10       Impact factor: 66.675

10.  Patient-reported lung symptoms as an early signal of impending radiation pneumonitis in patients with non-small cell lung cancer treated with chemoradiation: an observational study.

Authors:  Jinbo Yue; Qiuling Shi; Ting Xu; Melenda Jeter; Ting-Yu Chen; Ritsuko Komaki; Daniel R Gomez; Tinsu Pan; Charles S Cleeland; Zhongxing Liao; Xin Shelley Wang
Journal:  Qual Life Res       Date:  2018-03-16       Impact factor: 4.147

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