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Patterns and predictors of cancer‐related fatigue in ovarian and endometrial cancers: 1‐year longitudinal study
Background Fatigue is a common and distressing symptom for patients with gynecologic cancers. Few studies have empirically examined whether it spontaneously resolves. This study was aimed at identifying longitudinal patterns of fatigue and predictors of clinically significant fatigue 1 year after tr...
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Published in: | Cancer 2020-08, Vol.126 (15), p.3526-3533 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Background
Fatigue is a common and distressing symptom for patients with gynecologic cancers. Few studies have empirically examined whether it spontaneously resolves. This study was aimed at identifying longitudinal patterns of fatigue and predictors of clinically significant fatigue 1 year after treatment completion.
Methods
This was a prospective cohort study of women with newly diagnosed ovarian (n = 81) or endometrial cancer (n = 181) that did not progress or recur within 1 year of treatment completion. Symptoms of fatigue, depression, and anxiety were assessed after surgery and 6 and 12 months after treatment completion with the Fatigue Assessment Scale and the Hospital Anxiety and Depression Scale. Patients' fatigue scores over time were classified (scores of 22‐50, clinically significant; scores of 10‐21, not clinically significant). Logistic regression models were fit to examine associations between fatigue and patient characteristics.
Results
Among 262 participants, 48% reported clinically significant fatigue after surgery. One year later, 39% reported fatigue. There were 6 patterns over time: always low (37%), always high (25%), high then resolves (18%), new onset (10%), fluctuating (6%), and incidental (5%). Patients with fatigue after surgery were more likely to report fatigue at 12 months in comparison with others (odds ratio [OR], 6.08; 95% confidence interval [CI], 2.82‐13.11; P |
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ISSN: | 0008-543X 1097-0142 |
DOI: | 10.1002/cncr.32927 |