Literature DB >> 29496534

Patient-Reported Functional Status in Outpatients With Advanced Cancer: Correlation With Physician-Reported Scores and Survival.

Gordana Popovic1, Thana Harhara2, Ashley Pope1, Ahmed Al-Awamer3, Subrata Banerjee3, John Bryson4, Ernie Mak3, Jenny Lau3, Breffni Hannon4, Nadia Swami1, Lisa W Le5, Camilla Zimmermann6.   

Abstract

CONTEXT: Performance status measures are increasingly completed by patients in outpatient cancer settings, but are not well validated for this use.
OBJECTIVES: We assessed performance of a patient-reported functional status measure (PRFS, based on the Eastern Cooperative Oncology Group [ECOG]), compared with the physician-completed ECOG, in terms of agreement in ratings and prediction of survival.
METHODS: Patients and physicians independently completed five-point PRFS (lay version of ECOG) and ECOG measures on first consultation at an oncology palliative care clinic. We assessed agreement between PRFS and ECOG using weighted Kappa statistics, and used linear regression to determine factors associated with the difference between PRFS and ECOG ratings. We used the Kaplan-Meier method to estimate the patients' median survival, categorized by PRFS and ECOG, and assessed predictive accuracy of these measures using the C-statistic.
RESULTS: For the 949 patients, there was moderate agreement between PRFS and ECOG (weighted Kappa 0.32; 95% CI: 0.28-0.36). On average, patients' ratings of performance status were worse by 0.31 points (95% CI: 0.25-0.37, P < 0.0001); this tendency was greater for younger patients (P = 0.002) and those with worse symptoms (P < 0.0001). Both PRFS and ECOG scores correlated well with overall survival; the C-statistic was higher for the average of PRFS and ECOG scores (0.619) than when reported individually (0.596 and 0.604, respectively).
CONCLUSION: Patients tend to rate their performance status worse than physicians, particularly if they are younger or have greater symptom burden. Prognostic ability of performance status could be improved by using the average of patients and physician scores.
Copyright © 2018 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Palliative care; cancer; patient-reported outcome measures; performance status; prognosis; survival

Mesh:

Year:  2018        PMID: 29496534     DOI: 10.1016/j.jpainsymman.2018.02.015

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  9 in total

Review 1.  Innovations in research and clinical care using patient-generated health data.

Authors:  Heather S L Jim; Aasha I Hoogland; Naomi C Brownstein; Anna Barata; Adam P Dicker; Hans Knoop; Brian D Gonzalez; Randa Perkins; Dana Rollison; Scott M Gilbert; Ronica Nanda; Anders Berglund; Ross Mitchell; Peter A S Johnstone
Journal:  CA Cancer J Clin       Date:  2020-04-20       Impact factor: 508.702

Review 2.  Improving patient and caregiver outcomes in oncology: Team-based, timely, and targeted palliative care.

Authors:  David Hui; Breffni L Hannon; Camilla Zimmermann; Eduardo Bruera
Journal:  CA Cancer J Clin       Date:  2018-09-13       Impact factor: 508.702

3.  Prevalence of Insomnia in an Oncology Patient Population: An Irish Tertiary Referral Center Experience.

Authors:  Emily C Harrold; Ahmad F Idris; Niamh M Keegan; Lynda Corrigan; Min Yuen Teo; Martin O'Donnell; Sean Tee Lim; Eimear Duff; Dearbhaile M O'Donnell; M John Kennedy; Sue Sukor; Cliona Grant; David G Gallagher; Sonya Collier; Tara Kingston; Ann Marie O'Dwyer; Sinead Cuffe
Journal:  J Natl Compr Canc Netw       Date:  2020-12-02       Impact factor: 12.693

Review 4.  Immuno-Metabolism and Microenvironment in Cancer: Key Players for Immunotherapy.

Authors:  Gaia Giannone; Eleonora Ghisoni; Sofia Genta; Giulia Scotto; Valentina Tuninetti; Margherita Turinetto; Giorgio Valabrega
Journal:  Int J Mol Sci       Date:  2020-06-21       Impact factor: 5.923

5.  Quantified Kinematics to Evaluate Patient Chemotherapy Risks in Clinic.

Authors:  Zaki Hasnain; Tanachat Nilanon; Ming Li; Aaron Mejia; Anand Kolatkar; Luciano Nocera; Cyrus Shahabi; Frankie A Cozzens Philips; Jerry S H Lee; Sean E Hanlon; Poorva Vaidya; Naoto T Ueno; Sriram Yennu; Paul K Newton; Peter Kuhn; Jorge Nieva
Journal:  JCO Clin Cancer Inform       Date:  2020-06

Review 6.  Models of Integration of Specialized Palliative Care with Oncology.

Authors:  Jean Mathews; Breffni Hannon; Camilla Zimmermann
Journal:  Curr Treat Options Oncol       Date:  2021-04-08

7.  Patient and clinician nudges to improve symptom management in advanced cancer using patient-generated health data: study protocol for the PROStep randomised controlled trial.

Authors:  Ravi B Parikh; William Ferrell; Jonathan Wakim; Joelle Williamson; Neda Khan; Michael Kopinsky; Mohan Balachandran; Peter E Gabriel; Yichen Zhang; Lynn M Schuchter; Lawrence N Shulman; Jinbo Chen; Mitesh S Patel; Christopher R Manz
Journal:  BMJ Open       Date:  2022-05-12       Impact factor: 3.006

8.  Communication in Oncology Outpatient Clinic Settings: Congruence of Quality of Life Assessment between Patient-Physician and Patient-Caregiver Dyads.

Authors:  Chia-Chun Tang; Chen Hsi; Wu Wei-Wen; I-Ni Tsai; Tsai Jaw-Shiun
Journal:  J Oncol       Date:  2022-08-25       Impact factor: 4.501

9.  Development and validation of a prediction model of poor performance status and severe symptoms over time in cancer patients (PROVIEW+).

Authors:  Hsien Seow; Peter Tanuseputro; Lisa Barbera; Craig C Earle; Dawn M Guthrie; Sarina R Isenberg; Rosalyn A Juergens; Jeffrey Myers; Melissa Brouwers; Semra Tibebu; Rinku Sutradhar
Journal:  Palliat Med       Date:  2021-06-15       Impact factor: 4.762

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.