Assessment of Cancer-Related Fatigue: Implications for Clinical Diagnosis and Treatment

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1 Assessment of Cancer-Related : Implications for Clinical Diagnosis and Treatment Pascal Jean-Pierre, a,b Colmar D. Figueroa-Moseley, a,c Sadhna Kohli, a,c Kevin Fiscella, b,d Oxana G. Palesh, a Gary R. Morrow a,e a Department of Radiation Oncology, b Department of Family Medicine, c Department of Medicine, d Department of Community and Preventive Medicine, and e Department of Psychiatry, University of Rochester School of Medicine and Dentistry, James P. Wilmot Cancer Center, Rochester, New York, USA Key Words. Cancer Assessment Measurement Instruments Abstract Cancer-related fatigue (CRF) is a highly prevalent and debilitating symptom experienced by most cancer patients during, and often for considerable periods after,. The recognition of the importance of CRF to patients psychosocial and cognitive functioning, as well as to their quality of life, has driven the development of a wide range of assessment tools for screening and diagnosis of CRF. Over 20 different measures have been used to assess CRF from either a unidimensional or multidimensional perspective. Unidimensional measures Disclosure of potential conflicts of interest is found at the end of this article. are often single-question scales that generally focus on identifying the occurrence and severity of CRF, whereas multidimensional measures may also examine the effect of CRF across several domains of physical, socio-emotional, and cognitive functioning. This paper provides an overview and critique of measures commonly used to assess CRF. Single-question assessment is the most commonly used and the most useful methodology. Strategies to facilitate reliable assessment of CRF are also discussed. The Oncologist 2007;12(suppl 1):11 21 Introduction Cancer-related fatigue (CRF) is a highly prevalent symptom in patients with cancer. It can affect patients on multiple levels of psychosocial and physical functioning and usually causes a noticeable decrease in patients quality of life. The negative effects of this symptom are often experienced even before a formal cancer diagnosis [1] and continue beyond the completion of [2,3], regardless of the type of cancer therapy received. Patients and oncology professionals are becoming increasingly aware of the clinical relevance of CRF. The importance of CRF to patients quality of life underscores the need for more effective methods to be developed to control this symptom. Essential to the investigation of more effective control is the need for reliable and valid assessment. Various methods for assessing CRF have been used. In clinical trial settings, CRF has been assessed by patients reporting its presence or absence and intensity based on scores on either a single item or aggregated items of specific measures such as the Brief (BFI). Variations in how researchers and clinicians conceptualize this debilitating symptom have resulted in the development of different tools for assessing CRF. This paper presents and evaluates measures that have been used to assess CRF along with strategies to facilitate reliable assessment of this symptom. Correspondence: Pascal Jean-Pierre, Ph.D., University of Rochester Medical Center, James P. Wilmot Cancer Center, 601 Elmwood Avenue, Box 704, Rochester, New York 14642, USA. Telephone: ; Fax: ; Pascal_Jean-Pierre@urmc. rochester.edu Received December 11, 2006; accepted for publication January 4, AlphaMed Press /2007/$30.00/0 doi: /theoncologist.12-S1-11 The Oncologist 2007;12(suppl 1):

2 12 Assessment of Cancer-Related Diagnosing Cancer-Related Variations in the definition of CRF have influenced the development of reliable CRF measures. Most definitions have been based on some version of: a persistent, subjective sense of tiredness related to cancer or cancer that interferes with usual functioning [4]. Albeit very useful to our understanding of CRF, this definition does not include two important characteristics: this symptom is disproportional to the patient s level of exertion and it is not relieved by rest or sleep. Compared with normal fatigue that is alleviated by rest or sleep, CRF is a more intense and severe symptom that can persist for a considerable time following cancer. We and others have found that patients with cancer can easily and reliably rate their fatigue and its severity on a simple numeric scale ranging from 0 to 10. Patients are typically asked, How would you rate your fatigue on a scale of 0 10 over the past 7 days? Some have characterized responses into broad categories such as: a score of 0 indicates an absence of fatigue, a score of 1 3 indicates the presence of mild fatigue that does not require clinical intervention, and scores of 4 6 and 7 10 indicate moderate and severe fatigue, respectively, which require further evaluation and clinical intervention. Tools for the Assessment of Cancer- Related The fact that CRF is a subjective experience has determined the type of measures developed and used to assess this symptom. Most measures have focused on patients self-report of CRF. This approach makes sense as all experiences of CRF, even at the observable behavioral and physiological levels, are influenced by patients personal understanding and subjective experiences. Self-report measures of CRF have primarily been developed for use in clinical trial settings to evaluate factors influencing this symptom and the impact of related therapeutic interventions. However, measures developed to assess CRF in clinical trials are also useful in clinical practice. The following section provides a brief overview of selected measures that have been used to assess CRF and discusses important conceptual and psychometric characteristics of these measures. Unidimensional Tools Most of the single-item measures of CRF are taken from symptom checklists such as the Symptom Distress Scale [5], the Rotterdam Symptoms Checklist [6], the European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 quality-of-life measure [7], the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) [8], the MD Anderson Symptoms [9], and the Zung Self-Rating Depression Scale [10] (Table 1 [5 16] and Fig. 1). These single-item measures focus primarily on detecting the presence or absence of CRF. Few of these measures focus on the severity of CRF and its related effects on various aspects of patients lives. An example of a single-item measure to assess the presence and severity of CRF is the Visual Analog Scale (VAFS) [12], which has been designed specifically for use with cancer patients. The VAFS is also suitable for use in healthy individuals, a feature that could facilitate comparative analyses of the severity of fatigue experienced by patients with cancer versus their healthy counterparts. The simplicity of the VAFS lends itself to the monitoring of fatigue at multiple time points over the course of a day, which could facilitate our understanding of variations in CRF during waking hours [12]. Multi-item (unidimensional) measures of CRF that have been validated in patients with cancer include the BFI [14], which measures the severity of fatigue over the previous 24 hours. The BFI has been used as a screening tool for fatigue in many clinical trials. A scoring system has been developed for the BFI that facilitates identification of patients experiencing severe fatigue. Other multi-item CRF measures are also available that allow evaluation of the distress associated with CRF across multiple days and have been validated in a population of cancer survivors [15]. Some of these measures have been developed with input from cancer patients [16]. Multidimensional Tools Some researchers have advanced the theory that CRF is a multidimensional symptom affecting behavioral, cognitive, somatic, and affective domains of patient functioning. Several of these are summarized in Table 2 [17 27] and are discussed briefly below. The Multidimensional (MFI) [18] has been validated in patients with cancer and focuses on the subjective experience of fatigue. This scale evaluates the general, mental, and physical dimensions of fatigue, as well as levels of motivation and activity. The 20-item version of the MFI has been used to assess fatigue in patients with a variety of cancers who are receiving chemotherapy or radiotherapy (Table 3) [28 56]. The MFI has also been shown to capture differences in CRF across time. Using this scale, higher levels of fatigue have been detected during and immediately after. One study confirmed higher levels of fatigue across all five dimensions measured (general, physical, activity, motivation, and mental) in patients receiving anticancer compared with healthy individuals (Fig. 2) [30]. The MFI has also been used to demonstrate the persistence of multiple dimensions of fatigue after completion of initial in a range of cancers [57,58]. The Oncologist

3 Jean-Pierre, Figueroa-Moseley, Kohli et al. 13 Table 1. Unidimensional tools used for the assessment of fatigue Tool Description Advantages Disadvantages Reference Item(s) contained within a larger assessment tool Symptom Distress Scale Single-item measure of fatigue Simple to administer Limited to an assessment of distress Rotterdam Symptom Checklist European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire, QLQ-C30 Medical Outcomes Study 36-Item Short-Form Health Survey MD Anderson Symptom Zung Self-Rating Depression Scale Single-item measure Designed to measure distress 3 items related to fatigue Measures symptom intensity during past week Internal consistency: α = item subscale Measures fatigue frequency during the past 4 weeks Single-item fatigue measure from 25-item scale Measures fatigue severity in previous 24 hours Internal consistency: α = Contains a single fatigue item assessed on a 4-point Likert scale Measures fatigue frequency (none/ little of the time to most/all of the time) during the preceding week Validated in cancer patients Validated in cancer patients Simple to administer Useful for measuring general health status Validated to measure CRF Useful as a simple screening tool Independent single-item tools specifically for the assessment of fatigue Rhoten Scale Single-item, 0 10 point graphic Simple and easy to use rating scale Measures fatigue severity Assessment point is the present Visual Analog Scale 10-cm visual analog scale designed to measure fatigue severity from I do not feel tired to I feel totally exhausted Independent multiple-item tools assessing a single dimension of fatigue Scale of the Profile of Mood States Brief Cancer-Related Distress Scale Unnamed scale Abbreviation: CRF, cancer-related fatigue. 8-item and 7-item subscales from the vigor-activity and fatigueinertia subscales Measures presence and intensity of fatigue during the past week on a 5-point scale 9 items, 0 10 numeric scale Measures severity and impact of fatigue during the previous 24 hours Internal consistency: α = items measured on a Likert scale of 0 10 Measures physical, social, psychological, cognitive, and spiritual distress caused by CRF during the previous week 16 items, each answered using a 5-point scale Simple and easy to use Not diagnosis specific Can be used for healthy individuals Short and easy to use Validated in cancer patients Short and easy to complete Validated in cancer survivors Developed for and validated in cancer patients Limited to an assessment of the distress caused by CRF Not specifically designed to measure CRF Not specifically designed to measure CRF Limited to severity assessment Not developed for CRF Cannot measure CRF severity Limited to severity assessment Not developed to measure CRF Limited to severity assessment Unsuitable for many types of statistical evaluation Not developed for CRF Limited to severity assessment Cutoff between severity levels is unclear Limited to assessment of distress Confirmation of psychometric properties of this scale is now required McCorkle and Quint- Benoliel [5] de Haes et al. [6] Aaronson et al. [7] McHorney et al. [8] Cleeland et al. [9] Kirsh et al. [10] Rhoten [11] Glaus [12] McNair et al. [13] Mendoza et al. [14] Holley [15] Wu and McSweeney [16]

4 14 Assessment of Cancer-Related Figure 1. Examples of unidimensional methods to assess fatigue: embedded within symptom checklists (A) and an independent fatigue-specific tool (B) [6,7,9,12]. Extract from the European Organisation for Research and Treatment of Cancer (EORTC)- QLQ-30 reproduced from Aaronson NK, Ahmedzai S, Bergman B et al. The European Organisation for Research and Treatment of Cancer QLQ-C30: A quality-of-life instrument for use in international clinical trials in oncology. J Natl Cancer Inst 1993;85: , with permission from the EORTC. Copies of the QLQ-C30 are available from the EORTC from Ken Cornelissen ( ken.cornelissen@eortc.be). Extract from the MD Anderson Symptom reproduced from Cleeland CS, Mendoza TR, Wang XS et al. Assessing symptom distress in cancer patients: The MD Anderson Symptom. Cancer 2000;89: , with permission from John Wiley & Sons, Inc. Extract from the Visual Analog Scale reproduced from Glaus A. Assessment of fatigue in cancer and non-cancer patients and in healthy individuals. Support Care Cancer 1993;1: , with permission from Springer Verlag. The original Functional Assessment of Cancer Therapy scale (FACT-F) was relatively long (41 items, each assessed on a scale of 0 4) [19]. However, the FACT-F includes a brief 13-item fatigue subscale that is more suitable for use in clinical trials. The FACT-F has been used to evaluate fatigue in patients with a variety of diagnoses receiving various s (Table 3) [35 40]. In each study, the majority of patients reported some degree of fatigue regardless of diagnosis or modality. A study using the FACT-F found that persistent fatigue was related to depression and performance status following for hematologic malignancies [59]. The FACT-F also demonstrated the persistence of significant levels of fatigue in patients with advanced lung cancer on completion of [60]. The original version of the Multidimensional Symptom (MFSI), like the FACT-F, was long (including 83 items) and required too much time to complete to be suitable for use in the clinical setting [20]. A validated short form is now available, which consists of 30 items that evaluate general, emotional, physical, and mental fatigue and vigor over the preceding week [21]. The MFSI has been used to evaluate fatigue during anthracycline-based therapy for breast cancer and has shown that fatigue increases significantly with each cycle (Fig. 3) [41]. The revised Piper Scale (PFS) [23] was primarily validated in patients with breast cancer and, as such, might have limited generalizability to patients with other cancer diagnoses. The evaluation reference point of the PFS The Oncologist

5 Jean-Pierre, Figueroa-Moseley, Kohli et al. 15 is now, thus, this scale can be used only in patients experiencing fatigue at the time of assessment. Both the original and revised versions of the PFS have been widely used in the assessment of CRF during anticancer therapy (Table 3). These aforementioned studies have consistently demonstrated elevated levels of fatigue during anticancer in patients with breast, liver, and ovarian cancer and malignant melanoma who were treated with chemotherapy, radiotherapy, and immunotherapy (Table 3). Longitudinal studies using the PFS as a measure of fatigue have demonstrated persistent and elevated levels of fatigue across multiple domains in patients with various cancer diagnoses compared with controls (Fig. 4) [61 64]. The Symptom (FSI) [26,27] is another multidimensional measure that considers temporal variations in fatigue. This scale measures the severity, Table 2. Multidimensional tools used for the assessment of fatigue Tool Description Advantages Disadvantages Reference Lee Scale Quick and easy to complete Lee et al. [17] Multidimensional Functional Assessment of Cancer Therapy Multidimensional Symptom Assessment Questionnaire Revised Piper Scale Revised Schwartz Cancer Scale Cancer Scale Symptom 18 items assessed on a visual analog scale Two subscales: fatigue (13 items) and energy (5 items) Assessment reference point is now 20 items, each item is answered on a 7-point Likert scale Characterizes fatigue in terms of general, mental, and physical dimensions, as well as reduced motivation and activity during the preceding day Internal consistency: α > items assessed on a 5-point scale of 0 4 Focus on symptom presence/absence, intensity, affective aspects, and perceived interference with functioning Internal consistency: α = items assessed on a 5-point scale of item short form now available [21] Characterizes fatigue in terms of global, somatic, cognitive, affective, and behavioral aspects in the past week Internal consistency: α = items, each assessed on a 4-point scale Characterizes fatigue in terms of physical, affective, and cognitive aspects Respondents rate intensity and distress over the previous week and month 22 items assessed on an 11-point scale Characterizes fatigue in terms of behavioral/severity, affective meaning, sensory, and cognitive/mood dimensions Assessment reference point is now Internal consistency: α = 0.97 for entire scale and α = for subscales 6 items assessed on a 1 5 point scale Characterizes fatigue on two dimensions (physical and perceptual) in the previous 2 3 days Internal consistency: α = 0.90 for entire scale 15 items assessed on a 1 5 point scale Characterizes fatigue in terms of physical, affective, and cognitive dimensions Assessment reference point is now Internal consistency: α = item assessed on a 0 10 point scale Assesses the intensity and duration of fatigue and its impact on quality of life Assessment reference point is previous 7 days Internal consistency: α = Measures several dimensions Does not contain any somatic measures and so focuses on the subjective experience of fatigue Validated in cancer patients Assesses both fatigue and its consequences Sensitive to change over time Validated in patients with cancer Allows multiple measurements within a short timescale Validated in patients with cancer Validated in patients with cancer Validated in patients with cancer Easy to complete Simple and easy to complete Acknowledges temporal variation in fatigue Not specifically designed for patients with cancer Short reference period (1 day) Full scale is relatively long Items biased toward patients with anemia Original version is long and can be timeconsuming to complete Validated short form now available Relatively long recall period Can be used only with patients currently experiencing fatigue Limited generalizability to other cancer sites Sensitivity to change over time requires further evaluation Can be used only with patients currently experiencing fatigue Weak test retest reliability Smets et al. [18] Yellen et al. [19] Stein et al. [20, 21] Glaus [22] Piper et al. [23] Schwartz and Meek [24] Okuyama et al. [25] Hann et al. [26,27]

6 16 Assessment of Cancer-Related frequency, diurnal variation, and interference with quality of life resulting from fatigue over the previous 7 days. However, the test retest reliability of this scale is weak, perhaps because of the relatively long recall period. The FSI has mainly been used in studies examining the effect of chemotherapy for breast cancer [51 56]. These studies have shown that the majority of patients with breast cancer who receive chemotherapy are likely to experience some degree of CRF. More importantly, these studies have shown that the CRF these patients reported was more severe than normal fatigue reported by healthy controls. In follow-up studies using the FSI, patients with breast cancer reported significantly more fatigue for longer periods months and even years following completion of [65 67]. Table 3. during anticancer therapy, as assessed by some of the most widely used multidimensional tools Tool Study population Treatment received Key results Reference Multidimensional Functional Assessment of Cancer Therapy Multidimensional Symptom Piper Scale Various cancers n = 250 Various cancers n = 81 Colorectal, lung, and ovarian cancer n = 60 Uterine cancer n = 15 Uterine cancer n = 60 n = 157 n = 157 Various diagnoses n = 576 Various diagnoses n = 180 Various diagnoses n = 607 Various diagnoses n = 180 n = 100 n = 52 n = 29 n = 90 n = 72 n = 72 n = 127 Radiotherapy significantly higher just after Smets et al. [28] Radiotherapy Peak in fatigue at the end of Furst and Ahsberg [29] Radiotherapy Radiotherapy Significantly higher levels of fatigue compared with healthy controls significantly increased during significantly increased during and after Holzner et al. [30] Ahlberg et al. [31] Ahlberg et al. [32] Prevalence of fatigue increased during de Jong et al. [33] No consistent temporal pattern reported de Jong et al. [34] Various s Various s and combinations Various s and combinations Various s Radiotherapy Almost 60% of patients affected by fatigue associated with greater symptom distress and reduced quality of life Patients whose hemoglobin level increased were more likely to report improved fatigue Over 60% of patients reported some degree of fatigue Patients receiving anticancer therapy reported significantly more fatigue than controls Almost half of the study population reported significant fatigue Stone et al. [35] Hwang et al. [36] Kallich et al. [37] Hwang et al. [38] Tchen et al. [39] Wratten et al. [40] associated with increased fatigue Mills et al. [41] After completion of chemotherapy reported by all participants following completion of cycle scores significantly higher on than off during cycles Higher fatigue scores among those who were less active and had more nighttime awakenings Can et al. [42] Berger [43] Berger and Farr [44] >90% of patients reported fatigue Gaston- Johansson et al. [45] (Continued) The Oncologist

7 Jean-Pierre, Figueroa-Moseley, Kohli et al. 17 Table 3. (Continued) Tool Study population Treatment received Key results Reference Symptom n = 14 Prostate cancer n = 36 Breast or ovarian n = 17 Malignant melanoma n = 16 Liver cancer n = 40 n = 31 n = 54 n = 134 n = 170 Metastatic cancer n = 77 Various diagnoses n = 77 Radiotherapy Highest levels of fatigue recorded in the first 4 days after the cycle Correlates of fatigue included greater symptom distress, lower activity, poorer physical and social health status Significantly higher fatigue scores during and immediately after unlikely to be a consequence of depression or sleep disturbance Marked increase during therapy Continued elevated levels after completion Berger and Higginbotham [46] Monga et al. [47] Payne [48] Interferon-α increased significantly following Trask et al. [49] Transarterial chemoembolization High-dose therapy and autologous stem cell rescue or chemotherapy plus radiotherapy Significant increases in fatigue, peaking on day 2 of then gradually declining Significantly more fatigue in patients than in healthy controls with no history of cancer had a significantly greater impact on daily functioning and quality of life in patients than in healthy controls Significantly more fatigue in patients than in healthy controls before and during More severe fatigue pre associated with poorer performance status and the presence of fatigue-related symptoms Increased fatigue on associated with the development of chemotherapy side effects Patients receiving chemotherapy reported greater levels of fatigue compared with those receiving radiotherapy Women not pretreated with chemotherapy experienced increased fatigue during radiotherapy Most patients (94%) reported fatigue during Hypothyroidism implicated All but one patient reported experiencing fatigue in the preceding week more disruptive for female patients Relationship between hemoglobin level and level of fatigue Shun et al. [50] Hann et al. [51] Jacobsen et al. [52] Donovan et al. [53] Kumar et al. [54] Respini et al. [55] Jacobsen et al. [56] Some less widely used measures of CRF include the Lee Scale [17], the revised Schwartz Cancer Scale [24], and the Cancer Scale [25]. The Schwartz Scale has been used successfully in a number of interventional trials to assess the impact of exercise on the experience of fatigue in women with breast cancer [68 70]. Challenges in the Evaluation of Cancer- Related Perhaps one of the greatest challenges facing oncology professionals is distinguishing CRF from other psychosomatic and psychological ailments, such as depression. Oncology professionals should consider and exclude the possibility of an underlying affective disorder before making a diagnosis of CRF. The ability to discriminate CRF from fatigue related to other medical and psychological conditions would facilitate the development of randomized clinical trials and interventions to identify and control this symptom more precisely. One challenge in separating CRF from other related conditions, such as depression, lies in measurement. measures and depression measures can correlate very highly, as evidenced in a sample of 724 cancer patients taking part in a clinical trial assessed 1 week after their first chemotherapy

8 18 Assessment of Cancer-Related Figure 2. Multidimensional (MFI) subscale scores among patients with cancer with/without anemia and healthy controls. Higher scores indicate greater fatigue. Based on data from Holzner B, Kemmler G, Greil R et al. The impact of hemoglobin levels on fatigue and quality of life in cancer patients. Ann Oncol 2002;13: [71]. Depression, as assessed by the Center for Epidemiologic Studies Depression (CES-D) questionnaire [72] and the depression subscale of the Profile of Mood States (POMS) [73] had correlations of 0.69 and 0.59, respectively, with the Symptom Checklist (FSCL) [74] and correlations of 0.68 and 0.55, respectively, with the fatigue/inertia subscale of the POMS. The strength of these correlations indicates that there is extensive overlap with depression in these multi-item measures of fatigue. The extent of the overlap between fatigue and depression is reduced when using a single-item measure for fatigue. In this same sample, we also asked patients to what degree have you experienced fatigue during the past week? on a 1 10 scale anchored by 1 = not at all and 10 = a great deal. This single-item assessment of fatigue correlated to a substantially lower degree with the CES-D and the POMS-Depression Dejection (POMS-DD) subscale at 0.57 and 0.40, respectively, while correlating robustly with the fatigue/inertia subscale of the POMS (r = 0.79) and with the FSCL (r = 0.64). Similar results were also observed in a sample of 450 patients from an ongoing trial in which fatigue (measured by the BFI) and depression (by the CES-D and POMS-DD subscale) were assessed 1 week after their second chemotherapy. In this sample, the BFI total score correlated at 0.55 and 0.47 with the CES-D and the POMS- DD, respectively. As in the previous sample, a single question assessing fatigue at its worst during the last 24 hours on a 0 10 scale had considerably lower correlations with the CES-D and Figure 3. Temporal profile of fatigue evaluated using the Multidimensional Symptom (MFSI) during anthracycline-based therapy for breast cancer. Higher scores indicate greater fatigue. Based on data from Mills PJ, Parker B, Dimsdale JE et al. The relationship between fatigue and quality of life and inflammation during anthracycline-based chemotherapy in breast cancer. Biol Psychol 2005;69: the POMS-Dsubscale at 0.39 and 0.32, respectively, than the full measure. This question, which is one of the nine questions on the BFI, is often used as a stand-alone, single-item fatigue assessment. It correlated with the full BFI at Another ongoing challenge in measuring CRF is the difficulties cancer patients may experience in reporting the presence/absence and severity of this symptom. These reporting difficulties are also evident in patients inability to complete multi-item questionnaires several times per day. The Oncologist

9 Jean-Pierre, Figueroa-Moseley, Kohli et al. 19 Difficulties reporting CRF represent a considerable challenge to researchers involved in developing clinical intervention trials for the management of CRF. However, work is currently under way to develop computerized assessment tools that could prove useful in both the research and clinical settings [75]. Fluctuations across time, that is, the temporal profile of CRF in patients, should also be considered when screening and monitoring this symptom during and after. levels may fluctuate throughout the day and clinical trials seeking to evaluate the relationship between s for cancer and CRF should take into account the possibility of daily, and even hourly, fluctuations. Conclusions Although disagreement exists regarding the etiologies of CRF, oncology professionals agree that this subjective symptom is highly prevalent among patients both during and after cancer. Oncology professionals have Figure 4. Persistent fatigue following for breast cancer. (A): Total Piper Scale (PFS) scores at initial and follow-up (4 6 months later) assessments. (B): Adjusted mean subscale scores at initial assessment. Higher scores indicate more severe fatigue. Based on data from Andrykowski MA, Curran SL, Lightner R. Off- fatigue in breast cancer survivors: A controlled comparison. J Behav Med 1998;21: also become more cognizant of the debilitating effects of CRF on important areas of physical, emotional, and cognitive functioning, as well as on quality of life. Many different instruments are available to measure CRF. Most of these measures vary in their assumptions of the latent structure of CRF as either a unidimensional or multidimensional symptom. Variations in symptom conceptualization have influenced the development of these measures, and could markedly influence data collection and interpretation. In addition, some of these measures involve a general assessment of fatigue and do not focus on fatigue related to cancer and its s. A lack of cancer specificity might introduce extraneous variance in the assessment process. Multidimensional measures could add texture and relevance to the assessment of CRF based on the assumption that this symptom affects multiple interactive physical, emotional, and cognitive domains. However, for such a multidimensional assessment to be reliably obtained and authenticated, a clear understanding of the independent and interactive contributions of each of the proposed domains of CRF is necessary. Unfortunately, relevant information to facilitate an adequate mapping of the etiologies of CRF and its multidimensionality is limited and controversial. Compared to multidimensional measures, unidimensional measures of CRF that focus on the detection of the presence or absence and severity of the symptom are often portrayed as unable to capture the complexities of CRF. As is the case for the subjective symptoms of nausea and pain, we do not believe that the subjective experience of fatigue is, in itself, complex. Patients can very reliably report its occurrence and severity. It might be more relevant from both a clinical and research standpoint to use a simple measure that could clearly indicate the presence/absence and severity of CRF for patients during and after. As one early researcher noted, the validity of subjects self-report on simple rating scales is often equal or superior to considerably more lengthy, cumbersome, complex, and costly questionnaires and rating schedules [76]. It is important to recognize that adding more items or more domains to a simple measure of a subjective symptom does not make that measure more objective, reliable, or valid. It is, perhaps, for this reason that simple, single-item measures of CRF have become the most frequently used assessment tools. Acknowledgments The authors are recipients of National Cancer Institute grants 1R25-CA A1 and 2U10 CA , and American Cancer Society grant RSG PBP. Publication of this article was supported by a grant from Cephalon, Inc., Frazer, PA.

10 20 Assessment of Cancer-Related Disclosure of Potential Conflicts of Interest G.R.M. has acted as a consultant for MGI Pharma and Cephalon. References 1 Hofman M, Morrow GR, Roscoe JA et al. Cancer patients expectations of experiencing -related side effects: A University of Rochester Cancer Center Community Clinical Oncology Program study of 938 patients from community practices. Cancer 2004;101: Curran SL, Beacham AO, Andrykowski AM. Ecological momentary assessment of fatigue following breast cancer. J Behav Med 2004;27: Schwartz AL, Nail LM, Chen S et al. patterns observed in patients receiving chemotherapy and radiotherapy. Cancer Invest 2000;18: Mock V, Atkinson A, Barsevick A et al. NCCN Practice Guidelines for Cancer-Related. Oncology (Williston Park) 2000;14: McCorkle R, Quint-Benoliel J. Symptom distress, current concerns and mood disturbance after diagnosis of life-threatening disease. Soc Sci Med 1983;17: de Haes JC, van Knippenborg FC, Neijt JP. Measuring psychological and physical distress in cancer patients: Structure and application of the Rotterdam Symptom Checklist. Br J Cancer 1990;62: Aaronson NK, Ahmedzai S, Bergman B et al. The European Organization for Research and Treatment of Cancer QLQ-C30: A quality-of-life instrument for use in international clinical trials in oncology. J Natl Cancer Inst 1993;85: McHorney CA, Ware JE Jr, Raczek AE. The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Med Care 1993;31: Cleeland CS, Mendoza TR, Wang XS et al. Assessing symptom distress in cancer patients: The M.D. Anderson Symptom. Cancer 2000;89: Kirsh KL, Passik S, Holtsclaw E et al. I get tired for no reason: A single item screening for cancer-related fatigue. J Pain Symptom Manage 2001;22: Rhoten D. and the postsurgical patient. In: Norris CM, ed. Concept Clarification in Nursing. Rockville, MD: Aspen Systems Corporation, 1982: Glaus A. Assessment of fatigue in cancer and non-cancer patients and in healthy individuals. Support Care Cancer 1993;1: McNair DM, Lorr M, Droppleman L. Profile of Mood States, Second Edition. San Diego, CA: Educational and Industrial Testing Service, 1992: Mendoza TR, Wang XS, Cleeland CS et al. The rapid assessment of fatigue severity in cancer patients: Use of the Brief. Cancer 1999;85: Holley SK. Evaluating patient distress from cancer-related fatigue: An instrument development study. Oncol Nurs Forum 2000;27: Wu HS, McSweeney M. Assessing fatigue in persons with cancer: An instrument development and testing study. Cancer 2004;101: Lee KA, Hicks G, Nino-Murcia G. Validity and reliability of a scale to assess fatigue. Psychiatry Res 1991;36: Smets EMA, Garssen B, Bonke B et al. The Multidimensional (MFI): Psychometric qualities of an instrument to assess fatigue. J Psychosom Res 1995;39: Yellen SB, Cella DF, Webster K et al. Measuring fatigue and other anemiarelated symptoms with the Functional Assessment of Cancer Therapy (FACT) measurement system. J Pain Symptom Manage 1997;13: Stein KD, Martin SC, Hann DM et al. A multidimensional measure of fatigue for use with cancer patients. Cancer Pract 1998;6: Stein KD, Jacobsen PB, Blanchard CM et al. Further validation of the multidimensional fatigue symptoms inventory-short form. J Pain Symptom Manage 2004;27: Glaus A. in patients with cancer. Analysis and assessment. Recent Results Cancer Res 1998;145:I XI, Piper BF, Dibble SL, Dodd MJ et al. The revised Piper Scale: Psychometric evaluation in women with breast cancer. Oncol Nurs Forum 1998;25: Schwartz A, Meek P. Additional construct validity of the Schwartz Cancer Scale. J Nurs Meas 1999;7: Okuyama T, Akechi T, Kugaya A et al. Development and validation of the Cancer Scale: A brief, three-dimensional, self-rating scale for assessment of fatigue in cancer patients. J Pain Symptom Manage 2000;19: Hann DM, Jacobsen PB, Azzarello LM et al. Measurement of fatigue in cancer patients: Development and validation of the Symptom. Qual Life Res 1998;7: Hann DM, Denniston MM, Baker F. Measurement of fatigue in cancer patients: Further validation of the Symptom. Qual Life Res 2000;9: Smets EMA, Visser MR, Willems-Groot AF et al. and radiotherapy: (A) Experience in patients undergoing. Br J Cancer 1998;78: Furst CJ, Ahsberg E. Dimensions of fatigue during radiotherapy: An application of the Multidimensional. Support Care Cancer 2001;9: Holzner B, Kemmler G, Greil R et al. The impact of hemoglobin levels on fatigue and quality of life in cancer patients. Ann Oncol 2002;13: Ahlberg K, Ekman T, Gaston-Johansson F. Levels of fatigue compared to levels of cytokines and hemoglobin during pelvic radiotherapy: A pilot study. Biol Res Nurs 2004;5: Ahlberg K, Ekman T, Gaston-Johansson F. The experience of fatigue, other symptoms and global quality of life during radiotherapy for uterine cancer. Int J Nurs Stud 2005;42: de Jong N, Candel MJ, Schouten HC et al. Prevalence and course of fatigue in breast cancer patients receiving adjuvant chemotherapy. Ann Oncol 2004;15: de Jong N, Candel MJ, Schouten HC et al. Course of mental fatigue and motivation in breast cancer patients receiving adjuvant chemotherapy. Ann Oncol 2005;16: Stone P, Richardson A, Ream E et al. Cancer-related fatigue: Inevitable, unimportant and untreatable? Results of a multi-centre patient survey. Cancer Forum. Ann Oncol 2000;11: Hwang SS, Chang VT, Cogswell J et al. Clinical relevance of fatigue levels in cancer patients at a Veterans Administration Medical Center. Cancer 2002;94: The Oncologist

11 Jean-Pierre, Figueroa-Moseley, Kohli et al Kallich JD, Tchekmedyian NS, Damiano AM et al. Psychological outcomes associated with anemia-related fatigue in cancer patients. Oncology (Williston Park) 2002;16(suppl 10): Hwang SS, Chang VT, Rue M et al. Multidimensional independent predictors of cancer-related fatigue. J Pain Symptom Manage 2003;26: Tchen N, Juffs HG, Downie FP et al. Cognitive function, fatigue, and menopausal symptoms in women receiving adjuvant chemotherapy for breast cancer. J Clin Oncol 2003;21: Wratten C, Kilmurray J, Nash S et al. during breast radiotherapy and its relationship to biological factors. Int J Radiat Oncol Biol Phys 2004;59: Mills PJ, Parker B, Dimsdale JE et al. The relationship between fatigue and quality of life and inflammation during anthracycline-based chemotherapy in breast cancer. Biol Psychol 2005;69: Can G, Durna Z, Aydiner A. Assessment of fatigue in and care needs of Turkish women with breast cancer. Cancer Nurs 2004;27: Berger AM. Patterns of fatigue and activity and rest during adjuvant breast cancer chemotherapy. Oncol Nurs Forum 1998;25: Berger AM, Farr L. The influence of daytime inactivity and nighttime restlessness on cancer-related fatigue. Oncol Nurs Forum 1999;26: Gaston-Johansson F, Fall-Dickson JM, Bakos AB et al., pain, and depression in pre-autotransplant breast cancer patients. Cancer Pract 1999;7: Berger AM, Higginbotham P. Correlates of fatigue during and following adjuvant breast cancer chemotherapy: A pilot study. Oncol Nurs Forum 2000;27: Monga U, Kerrigan AJ, Thornby J et al. Prospective study of fatigue in localized prostate cancer patients undergoing radiotherapy. Radiat Oncol Investig 1999;7: Payne JK. The trajectory of fatigue in adult patients with breast and ovarian cancer receiving chemotherapy. Oncol Nurs Forum 2002;29: Trask PC, Paterson AG, Esper P et al. Longitudinal course of depression, fatigue, and quality of life in patients with high-risk melanoma receiving adjuvant interferon. Psychooncology 2004;13: Shun SC, Lai YH, Jing TT et al. patterns and correlates in male liver cancer patients receiving transcatheter hepatic arterial chemoembolization. Support Care Cancer 2005;13: Hann DM, Garovoy N, Finkelstein B et al. and quality of life in breast cancer patients undergoing autologous stem cell transplantation: A longitudinal comparative study. J Pain Symptom Manage 1999;17: Jacobsen PB, Hann DM, Azzarello LM et al. in women receiving adjuvant chemotherapy for breast cancer: Characteristics, course and correlates. J Pain Symptom Manage 1999;18: Donovan KA, Jacobsen PB, Andrykowski MA et al. Course of fatigue in women receiving chemotherapy and/or radiotherapy for early stage breast cancer. J Pain Symptom Manage 2004;28: Kumar N, Allen KA, Riccardi D et al., weight gain, lethargy and amenorrhea in breast cancer patients on chemotherapy: Is subclincial hypothyroidism the culprit? Breast Cancer Res Treat 2004;83: Respini D, Jacobsen PB, Thors C et al. The prevalence and correlates of fatigue in older cancer patients. Crit Rev Oncol Hematol 2003;47: Jacobsen PB, Garland LL, Booth-Jones M et al. Relationship of hemoglobin levels to fatigue and cognitive functioning among cancer patients receiving chemotherapy. J Pain Symptom Manage 2004;28: Bartsch HH, Weis J, Moser MT. Cancer-related fatigue in patients attending oncological rehabilitation programs: Prevalence, patterns and predictors. Onkologie 2003;26: Howell SJ, Radford JA, Smets EMA et al., sexual function and mood following for haematological malignancy: The impact of mild Leydig cell dysfunction. Br J Cancer 2000;82: Dimeo F, Schmittel A, Fietz T et al. Physical performance, depression, immune status and fatigue in patients with hematological malignancies after. Ann Oncol 2004;15: Brown DJ, McMillan DC, Milroy R. The correlation between fatigue, physical function, the systemic inflammatory response, and psychological distress in patients with advanced lung cancer. Cancer 2005;103: Andrykowski MA, Curran SL, Lightner R. Off- fatigue in breast cancer survivors: A controlled comparison. J Behav Med 1998;21: So WK, Tai JW. and fatigue-relieving strategies used by Hong Kong Chinese patients after hemopoietic stem cell transplantation. Nurs Res 2005;54: So WKW, Dodgson J, Tai JWM. and quality of life among Chinese patients with hematologic malignancy after bone marrow transplantation. Cancer Nurs 2003;26: ; quiz Woo B, Dibble SL, Piper BF et al. Differences in fatigue by methods in women with breast cancer. Oncol Nurs Forum 1998;25: Broeckel JA, Jacobsen PB, Horton J et al. Characteristics and correlates of fatigue after adjuvant chemotherapy for breast cancer. J Clin Oncol 1998;16: Hann DM, Jacobsen PB, Martin SC et al. in women treated with bone marrow transplantation for breast cancer: A comparison with women with no history of cancer. Support Care Cancer 1997;5: Hann DM, Jacobsen PB, Martin S et al. and quality of life following radiotherapy for breast cancer: A comparative study. J Clin Psychol Med Settings 1998;5: Schwartz AL. mediates the effects of exercise on quality of life. Qual Life Res 1999;8: Schwartz AL, Mori M, Gao R et al. Exercise reduces daily fatigue in women with breast cancer receiving chemotherapy. Med Sci Sports Exerc 2001;33: Schwartz AL. Daily fatigue patterns and effect of exercise in women with breast cancer. Cancer Pract 2000;8: Morrow GR, Hickok JT, Raubertas R et al. Effect of an SSRI antidepressant on fatigue and depression in seven hundred thirty-eight cancer patients treated with chemotherapy: A URCC CCOP Study. Proc Am Soc Clin Oncol 2001;20:348a. 72 Radloff LS. The CES-D scale: A self-report depressive scale for research in the general population. J Appl Psychol Measure 1977;1: McNair DM, Lorr M, Droppelman LF. Manual for the Profile of Mood States. San Diego, CA: Educational and Industrial Testing Service, 1971: Yoshitake H. Three characteristic patterns of subjective fatigue symptoms. Ergonomics 1978;21: Lai J, Cella D, Dineen K et al. An item bank was created to improve the measurement of cancer-related fatigue. J Clin Epidemiol 2005;58: Peterson DR. Scope and generality of verbally defined personality factors. Psychol Rev 1965;72: