Literature DB >> 22379420

Longitudinal patient-reported performance status assessment in the cancer clinic is feasible and prognostic.

Sang-Yeon Suh1, Thomas W Leblanc, Rebecca A Shelby, Gregory P Samsa, Amy P Abernethy.   

Abstract

PURPOSE: Performance status is prognostic in oncology and palliative care settings. Traditionally clinician rated, it is often inconsistently collected, recorded, and measured, thereby limiting its utility. Patient-reported strategies are increasingly used for routine symptom and quality of life assessment in the clinic, and may be useful for tracking performance status.
METHODS: Tablet personal computers were used to collect patient-reported reviews of systems via the Patient Care Monitor (PCM) v2.0 for 86 patients with advanced lung cancer. Relevant subscales included the PCM Impaired Performance and Impaired Ambulation scales. Trained nurse clinicians measured performance status using traditional Karnofsky and Eastern Cooperative Oncology Group (ECOG) instruments. Correlation coefficients were used to compare performance status scales, and survival analysis was performed by Cox proportional hazards modeling.
RESULTS: All four performance status scales demonstrated excellent internal consistency and convergent validity. Initial KPS and ECOG scores were statistically correlated with survival, whereas PCM scores showed a nonsignificant trend in this direction. Change in PCM Impaired Performance over time was statistically correlated with survival (hazard ratio = 1.62, P = .046), whereas the other three performance status measures were not statistically prognostic.
CONCLUSION: Patient-reported performance status as measured by PCM v2.0 is at least as reliable as KPS or ECOG. The enhanced resolution provided by this patient-reported method allows for the detection of clinically meaningful changes in trajectory over time, potentially serving as an early-warning system to trigger clinical interventions. Further study is needed to test these findings on a larger scale.

Entities:  

Year:  2011        PMID: 22379420      PMCID: PMC3219464          DOI: 10.1200/JOP.2011.000434

Source DB:  PubMed          Journal:  J Oncol Pract        ISSN: 1554-7477            Impact factor:   3.840


  23 in total

1.  Measuring fatigue and other anemia-related symptoms with the Functional Assessment of Cancer Therapy (FACT) measurement system.

Authors:  S B Yellen; D F Cella; K Webster; C Blendowski; E Kaplan
Journal:  J Pain Symptom Manage       Date:  1997-02       Impact factor: 3.612

2.  The Karnofsky Performance Status Scale. An examination of its reliability and validity in a research setting.

Authors:  V Mor; L Laliberte; J N Morris; M Wiemann
Journal:  Cancer       Date:  1984-05-01       Impact factor: 6.860

3.  The Cancer Care Monitor: psychometric content evaluation and pilot testing of a computer administered system for symptom screening and quality of life in adult cancer patients.

Authors:  Barry Fortner; Ted Okon; Lee Schwartzberg; Kurt Tauer; Arthur C Houts
Journal:  J Pain Symptom Manage       Date:  2003-12       Impact factor: 3.612

4.  Baseline quality of life as a prognostic indicator of survival: a meta-analysis of individual patient data from EORTC clinical trials.

Authors:  Chantal Quinten; Corneel Coens; Murielle Mauer; Sylvie Comte; Mirjam A G Sprangers; Charles Cleeland; David Osoba; Kristin Bjordal; Andrew Bottomley
Journal:  Lancet Oncol       Date:  2009-08-18       Impact factor: 41.316

5.  The correlation among patients and health care professionals in assessing functional status using the karnofsky and eastern cooperative oncology group performance status scales.

Authors:  Maria-Theresa de Borja; Edward Chow; Geoff Bovett; Lori Davis; Carol Gillies
Journal:  Support Cancer Ther       Date:  2004-10-01

6.  Feasibility and acceptability to patients of a longitudinal system for evaluating cancer-related symptoms and quality of life: pilot study of an e/Tablet data-collection system in academic oncology.

Authors:  Amy P Abernethy; James E Herndon; Jane L Wheeler; Jeannette M Day; Linda Hood; Meenal Patwardhan; Heather Shaw; Herbert Kim Lyerly
Journal:  J Pain Symptom Manage       Date:  2009-04-25       Impact factor: 3.612

7.  Reliability and validity of the Functional Assessment of Cancer Therapy-Lung (FACT-L) quality of life instrument.

Authors:  D F Cella; A E Bonomi; S R Lloyd; D S Tulsky; E Kaplan; P Bonomi
Journal:  Lung Cancer       Date:  1995-06       Impact factor: 5.705

8.  The Australia-modified Karnofsky Performance Status (AKPS) scale: a revised scale for contemporary palliative care clinical practice [ISRCTN81117481].

Authors:  Amy P Abernethy; Tania Shelby-James; Belinda S Fazekas; David Woods; David C Currow
Journal:  BMC Palliat Care       Date:  2005-11-12       Impact factor: 3.234

9.  Performance status assessment in cancer patients. An inter-observer variability study.

Authors:  J B Sørensen; M Klee; T Palshof; H H Hansen
Journal:  Br J Cancer       Date:  1993-04       Impact factor: 7.640

Review 10.  The Functional Assessment of Chronic Illness Therapy (FACIT) Measurement System: properties, applications, and interpretation.

Authors:  Kimberly Webster; David Cella; Kathleen Yost
Journal:  Health Qual Life Outcomes       Date:  2003-12-16       Impact factor: 3.186

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  25 in total

1.  Time for better integration of oncology and palliative care.

Authors:  Amy P Abernethy; David C Currow
Journal:  J Oncol Pract       Date:  2011-11       Impact factor: 3.840

2.  Linking palliative care and oncology practice: performance status as a common thread.

Authors:  Thomas W Leblanc; Anthony L Back
Journal:  J Oncol Pract       Date:  2011-11       Impact factor: 3.840

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.  Pruritus in patients with solid tumors: an overlooked supportive care need.

Authors:  Jaxon J Vallely; Kathryn E Hudson; Susan C Locke; Steven P Wolf; Gregory P Samsa; Amy P Abernethy; Thomas W LeBlanc
Journal:  Support Care Cancer       Date:  2019-02-14       Impact factor: 3.603

5.  Palliative oncology: identity, progress, and the path ahead.

Authors:  A S Epstein; R S Morrison
Journal:  Ann Oncol       Date:  2012-04       Impact factor: 32.976

6.  Validation and real-world assessment of the Functional Assessment of Anorexia-Cachexia Therapy (FAACT) scale in patients with advanced non-small cell lung cancer and the cancer anorexia-cachexia syndrome (CACS).

Authors:  Thomas W LeBlanc; Greg P Samsa; Steven P Wolf; Susan C Locke; David F Cella; Amy P Abernethy
Journal:  Support Care Cancer       Date:  2015-01-14       Impact factor: 3.603

Review 7.  Can we agree on patient-reported outcome measures for assessing hematopoietic cell transplantation patients? A study from the CIBMTR and BMT CTN.

Authors:  B E Shaw; S J Lee; M M Horowitz; W A Wood; J D Rizzo; K E Flynn
Journal:  Bone Marrow Transplant       Date:  2016-05-09       Impact factor: 5.483

8.  Feasibility of Wearable Physical Activity Monitors in Patients With Cancer.

Authors:  Arjun Gupta; Tyler Stewart; Nizar Bhulani; Ying Dong; Zain Rahimi; Kimberli Crane; Chad Rethorst; Muhammad S Beg
Journal:  JCO Clin Cancer Inform       Date:  2018-12

Review 9.  Promise of Wearable Physical Activity Monitors in Oncology Practice.

Authors:  Muhammad S Beg; Arjun Gupta; Tyler Stewart; Chad D Rethorst
Journal:  J Oncol Pract       Date:  2017-02       Impact factor: 3.840

10.  EORTC QLQ-C15-PAL quality of life score as a prognostic indicator of survival in patients with far advanced cancer.

Authors:  Yong Joo Lee; Sang-Yeon Suh; Youn Seon Choi; Jae Yong Shim; Ah-Ram Seo; Sung-Eun Choi; Hong-Yup Ahn; Eunji Yim
Journal:  Support Care Cancer       Date:  2014-03-01       Impact factor: 3.603

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