Literature DB >> 34255538

Association of Fatigue and Outcomes in Advanced Cancer: An Analysis of Four SWOG Treatment Trials.

Julia Mo1, Amy K Darke2, Katherine A Guthrie2, Jeff A Sloan3, Joseph M Unger2, Dawn L Hershman4, Mark O'Rourke5, Marie Bakitas6, Robert S Krouse1.   

Abstract

PURPOSE: Patient-reported outcomes may be associated with cancer outcomes. We evaluated clinically significant fatigue (CSF), overall survival, adverse events (AEs), and quality of life (QOL) during cancer treatment.
METHODS: We compared outcomes in four phase II or III chemotherapy trials, two advanced non-small-cell lung cancer and two advanced hormone-refractory prostate cancer, with or without baseline CSF. CSF was defined as a rating of two or greater on the Functional Assessment of Cancer Therapy fatigue question or a European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 fatigue symptom score of 50% or greater. Survival was compared according to CSF using Kaplan-Meier estimates and Cox regression models. Differences in AE rates by CSF were assessed via chi-squared tests, and QOL changes from baseline to 3 months via linear regression.
RESULTS: Of 1,994 participants, 1,907 (median age 69 years, range: 32-91) had complete baseline QOL survey data, with 52% reporting CSF at baseline. For the two hormone-refractory prostate cancer studies, baseline CSF was associated with higher mortality rates, with adjusted hazard ratios of (95% CI, P value) 1.32 (1.13 to 1.55, P < .001) and 1.31 (1.02 to 1.67, P = .03) and with increased incidence of grade 3-5 constitutional (16.5% v 9.4%, P = .002; 13.9% v 6.3%, P = .002) and neurologic (11.7% v 6.1%, P = .006; 9.0% v 3.9%, P = .01) AEs, respectively. Baseline CSF was associated with a higher mortality rate in one non-small-cell lung cancer study: hazard ratio 1.44 and 1.04 to 2.00, P = .03.
CONCLUSION: Oncology trial participants with baseline CSF had poorer survival and experienced more AEs than participants without CSF. This indicates fatigue as an important baseline prognostic factor in oncology treatment trials.

Entities:  

Mesh:

Year:  2021        PMID: 34255538      PMCID: PMC8360454          DOI: 10.1200/OP.20.01096

Source DB:  PubMed          Journal:  JCO Oncol Pract        ISSN: 2688-1527


  37 in total

Review 1.  ASCPRO recommendations for the assessment of fatigue as an outcome in clinical trials.

Authors:  Andrea M Barsevick; Charles S Cleeland; Donald C Manning; Ann M O'Mara; Bryce B Reeve; Jane A Scott; Jeff A Sloan
Journal:  J Pain Symptom Manage       Date:  2010-06       Impact factor: 3.612

Review 2.  Fatigue in patients with cancer.

Authors:  P Stone; M Richards; J Hardy
Journal:  Eur J Cancer       Date:  1998-10       Impact factor: 9.162

3.  Equating EORTC QLQ-C30 and FACT-G scores and its use in oncological research.

Authors:  B Holzner; R K Bode; E A Hahn; D Cella; M Kopp; B Sperner-Unterweger; G Kemmler
Journal:  Eur J Cancer       Date:  2006-10-11       Impact factor: 9.162

4.  Fatigue in ovarian carcinoma patients: a neglected issue?

Authors:  Bernhard Holzner; Georg Kemmler; Verena Meraner; Andrea Maislinger; Martin Kopp; Thomas Bodner; Dominic Nguyen-Van-Tam; Alain G Zeimet; W Wolfgang Fleischhacker; Barbara Sperner-Unterweger
Journal:  Cancer       Date:  2003-03-15       Impact factor: 6.860

5.  The impact of fatigue on patients with cancer: overview of FATIGUE 1 and 2.

Authors:  G A Curt
Journal:  Oncologist       Date:  2000

6.  Impact of cancer-related fatigue on the lives of patients: new findings from the Fatigue Coalition.

Authors:  G A Curt; W Breitbart; D Cella; J E Groopman; S J Horning; L M Itri; D H Johnson; C Miaskowski; S L Scherr; R K Portenoy; N J Vogelzang
Journal:  Oncologist       Date:  2000

7.  Fatigue, psychological distress, coping and quality of life in patients with uterine cancer.

Authors:  Karin Ahlberg; Tor Ekman; Arne Wallgren; Fannie Gaston-Johansson
Journal:  J Adv Nurs       Date:  2004-01       Impact factor: 3.187

Review 8.  The prognostic significance of patient-reported outcomes in cancer clinical trials.

Authors:  Carolyn C Gotay; Crissy T Kawamoto; Andrew Bottomley; Fabio Efficace
Journal:  J Clin Oncol       Date:  2008-01-28       Impact factor: 44.544

Review 9.  Fatigue and cancer: causes, prevalence and treatment approaches.

Authors:  L I Wagner; D Cella
Journal:  Br J Cancer       Date:  2004-08-31       Impact factor: 7.640

10.  Implementing a system of quality-of-life diagnosis and therapy for breast cancer patients: results of an exploratory trial as a prerequisite for a subsequent RCT.

Authors:  M Klinkhammer-Schalke; M Koller; C Ehret; B Steinger; B Ernst; J C Wyatt; F Hofstädter; W Lorenz
Journal:  Br J Cancer       Date:  2008-08-05       Impact factor: 7.640

View more
  2 in total

1.  Safety and Efficacy of Mild Moxibustion on Cancer-Related Fatigue in Non-Small-Cell Lung Cancer Patients Undergoing Chemotherapy.

Authors:  Xiaomin Xu; Fen Gu
Journal:  Comput Math Methods Med       Date:  2022-07-22       Impact factor: 2.809

2.  Effectiveness and Tolerability of Anlotinib Plus PD-1 Inhibitors for Patients with Previously Treated Metastatic Soft-Tissue Sarcoma.

Authors:  Xin Sun; Jie Xu; Lu Xie; Wei Guo
Journal:  Int J Gen Med       Date:  2022-09-28
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.