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      Cancer-Related Fatigue: Guidelines for Evaluation and Management

      1 , 2
      The Oncologist
      Wiley

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          Abstract

          Fatigue is a highly prevalent condition among cancer patients. Although most cancer patients report that fatigue is a major obstacle to maintaining normal daily activities and quality of life, it is seldom assessed and treated in clinical practice. Few studies have explored its epidemiology, possible etiologies, or management. Cancer-related fatigue, which recently was accepted as a diagnosis in the International Classification of Diseases 10th Revision-Clinical Modification, reduces physical, psychological, and social functioning and results in significant distress for patients and caregivers. Adequate evaluation of fatigue must do more than simply assess severity. The assessment should clarify other characteristics, determine the degree to which fatigue interferes with the activities of daily living, and identify potential causes, including the underlying disease, disease treatments, intercurrent systemic disorders, psychological disorders, and other conditions. Possible primary therapies include modification of the patient's drug regimen, correction of metabolic abnormalities, and pharmacologic treatments for anemia (e.g., epoetin alfa), depression, or insomnia. Other symptomatic interventions include specific drug treatments, exercise, modification of activity and rest patterns, cognitive therapies, sleep hygiene approaches, and nutritional support. Pharmacologic approaches, which are supported by limited studies and growing clinical experience, include psychostimulant drugs, corticosteroids, and possibly other therapies. Although additional research is needed to further identify the causes and corresponding treatment of fatigue, practitioners should routinely assess and treat patients who may benefit from currently identified interventions, because fatigue can profoundly undermine the quality of life of patients with cancer.

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          Most cited references84

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

          This paper reports the development and validation of a questionnaire assessing fatigue and anemia-related concerns in people with cancer. Using the 28-item Functional Assessment of Cancer Therapy-General (FACT-G) questionnaire as a base, 20 additional questions related to the symptoms and concerns of patients with anemia were developed. Thirteen of these 20 questions dealt with fatigue, while the remaining 7 covered other concerns related to anemia. Using semi-structured interviews with 14 anemic oncology patients and 5 oncology experts, two instruments were produced: The FACT-Fatigue (FACT-F), consisting of the FACT-G plus 13 fatigue items, and the FACT-Anemia (FACT-An), consisting of the FACT-F plus 7 nonfatigue items. These measures were, in turn, tested on a second sample of 50 cancer patients with hemoglobin levels ranging from 7 to 15.9 g/dL. The 41-item FACT-F and the 48 item FACT-An scores were found to be stable (test-retest r = 0.87 for both) and internally consistent (coefficient alpha range = 0.95-0.96). The symptom-specific subscales also showed good stability (test-retest r range = 0.84-0.90), and the Fatigue subscale showed strong internal consistency (coefficient alpha range = 0.93-0.95). Internal consistency of the miscellaneous nonfatigue items was lower but acceptable (alpha range = 0.59-0.70), particularly in light of their strong relationship to patient-rated performance status and hemoglobin level. Convergent and discriminant validity testing revealed a significant positive relationship with other known measures of fatigue, a significant negative relationship with vigor, and a predicted lack of relationship with social desirability. The total scores of both scales differentiated patients by hemoglobin level (p < 0.05) and patient-rated performance status (p < 0.0001). The 13-item Fatigue subscale of the FACT-F and the 7 nonfatigue items of the FACT-An also differentiated patients by hemoglobin level (p < 0.05) and patient-rated performance status (p < or = 0.001). The FACT-F and FACT-An are useful measures of quality of life in cancer treatment, adding more focus to the problems of fatigue and anemia. The Fatigue Subscale may also stand alone as a very brief, but reliable and valid measure of fatigue.
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            The Functional Assessment of Cancer Therapy scale: development and validation of the general measure.

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              Validity and reliability of a scale to assess fatigue.

              A visual analogue scale to evaluate fatigue severity (VAS-F) was developed and tested in a sample of 75 healthy individuals and a sample of 57 patients undergoing medical evaluation for sleep disorders. The scale consists of 18 items related to fatigue and energy, has simple instructions, and is completed with minimal time and effort. The VAS-F compares favorably with the Stanford Sleepiness Scale and the Profile of Mood States, and its internal consistency reliabilities are high. Healthy subjects demonstrated significant differences between their evening and morning scores on the VAS-F, while sleep-disordered patients did not.
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                Author and article information

                Journal
                The Oncologist
                Wiley
                1083-7159
                1549-490X
                February 01 1999
                February 01 1999
                February 01 1999
                February 01 1999
                February 01 1999
                February 01 1999
                : 4
                : 1
                : 1-10
                Affiliations
                [1 ]Beth Israel Medical Center, New York, New York
                [2 ]Ortho Biotech Inc., Raritan, New Jersey, USA
                Article
                10.1634/theoncologist.4-1-1
                acc72a08-5403-4a43-9644-f4ef2f3bc9ae
                © 1999

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

                History

                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

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