Fatigue in disease-free cancer patients compared with fatigue in patients with Chronic Fatigue Syndrome

Servaes, Petra; Werf, Sieberen van der; Prins, Judith B.; Verhagen, Stans; Bleijenberg, Gijs

doi:10.1007/s005200000165

Cited by 129 publications

(120 citation statements)

References 18 publications

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“…These results are comparable to the extent of problems experienced by patients with chronic fatigue syndrome. However, compared to severely fatigue disease-free cancer patients, the LGG patients in our study report more problems with concentration [6].…”

Section: Discussioncontrasting

confidence: 53%

“…In contrast, LGG patients are considered to be never completely free of disease [5]. As a consequence, being confronted with a life-threatening illness can lead to feelings of depression and anxiety for the future, which both may be correlated with fatigue [6,[22][23][24][25][26][27]. Furthermore, LGG patients have specific cognitive problems [5], which presumably may also be related to fatigue.…”

Section: Discussionmentioning

confidence: 99%

“…Fatigue is frequently reported by patients with cancer [6]. During treatment, in advanced stages of the disease, and after curative treatment, fatigue has been described as a major problem.…”

Section: Introductionmentioning

confidence: 99%

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Fatigue in low-grade glioma

et al. 2008

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The aim of this study was to determine the prevalence and severity of fatigue in long-term survivors with a low-grade glioma (LGG), and to analyze the relationship between fatigue and demographic variables, disease duration, tumor characteristics, former tumor treatment modalities, antiepileptic drug (AED) use, selfreported concentration, motivation, and activity. Fifty-four patients with stable disease (age range, 25-73 years) who were diagnosed and treated more than 8 years ago were included in this study. Fatigue was analyzed with the Checklist Individual Strength (CIS). Thirty-nine percent of the LGG patients were severely fatigued, with older patients being most affected. Severe fatigue was associated with AED use, and with reduced self-reported concentration, motivation, and activity. No relation was found between fatigue and gender, histology, tumor laterality, disease duration, type of neurosurgical intervention and radiation treatment. Fatigue is a severe problem in a large proportion of long-term surviving LGG patients.

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Section: Discussioncontrasting

confidence: 53%

Section: Discussionmentioning

confidence: 99%

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Fatigue in low-grade glioma

et al. 2008

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“…Previous research has also indicated strong relationships between anxiety and depression and CRF in cancer survivors (34,(38)(39)(40)42,(76)(77)(78)(79)(80)(81)(82)(83)(84)(85)(86)(87)(88)(89)(90) two reported that married individuals had higher fatigue than those who were not married (96,97). A relationship has also been reported between age and fatigue in cancer survivors (34,39,41,83,93,(96)(97)(98).…”

Section: Fatigue After Anti-cancer Treatmentmentioning

confidence: 90%

Fatigue in Gynecological Cancer Patients During and After Anticancer Treatment

Prue

Allen

Gracey

et al. 2010

Journal of Pain and Symptom Management

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We recommend you cite the published version. The publisher's URL is http://dx.doi.org/10. 1016/j.jpainsymman.2009.06.011 Refereed: No (no note) Disclaimer UWE has obtained warranties from all depositors as to their title in the material deposited and as to their right to deposit such material. UWE makes no representation or warranties of commercial utility, title, or fitness for a particular purpose or any other warranty, express or implied in respect of any material deposited.UWE makes no representation that the use of the materials will not infringe any patent, copyright, trademark or other property or proprietary rights. UWE accepts no liability for any infringement of intellectual property rights in any material deposited but will remove such material from public view pending investigation in the event of an allegation of any such infringement. Re: FATIGUE IN GYNAECOLOGICAL CANCER PATIENTS DURING AND AFTER ANTI-CANCER TREATMENTFollowing your recommendation we have merged the original submissions to you journal and have now submitted the manuscript on the above topic via the online submission system for your consideration.All authors have read and approved both manuscripts. I would be most grateful if you could copy all correspondence to my co-authors: Dr Fiona Cramp; fiona.cramp@uwe.ac.uk and Dr Jacqueline Gracey; jh.gracey@ulster.ac.uk as I am currently on maternity leave and may not be able to access my emails on a regular basis. I hope that you will consider the enclosed manuscript for publication in the Journal of Pain and Symptom Management and look forward to receiving your response.

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“…A score of 34 or higher on the eight-item subscale for subjective fatigue has often been used as a cut-off point for severe fatigue. 9,10 Both of the study's outcome definitions were based on multiple outcome measurements during follow-up. Recovery was defined as a score <34 on the severity scale of the CIS at 4, 8, and 12 months after baseline.…”

Section: Definition Of Outcomementioning

confidence: 99%

Prediction of outcome in patients presenting with fatigue in primary care

2009

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Although fatigue is a common problem presenting to primary care, few prospective studies have examined the contribution of a wide range of prognostic factors. AimTo determine the combination of factors most strongly associated with a favourable or unfavourable course of fatigue, when fatigue is presented as a main symptom in primary care. Design of studyProspective, observational cohort study with a 1-year follow-up. SettingA total of 147 primary care practices in the Netherlands. MethodPatients presenting with fatigue as a main symptom completed questionnaires at baseline, and 1, 4, 8, and 12 months later. The prognostic value of potential predictors was assessed by applying multivariable logistic regression analysis. The outcome was severity of fatigue, defined as a combination of dichotomised scores on several repeated measurements with the Checklist Individual Strength. Separate models were used to predict either a favourable or an unfavourable course of fatigue. ResultsBaseline severity of fatigue and patient expectations of chronicity consistently predicted a poor outcome. Additional factors predicting a chronic course were baseline pain intensity and less social support. Baseline characteristics predicting a fast recovery were: male sex, not providing care for others (for example, for older people), better perceived health, and fewer (serious) prolonged difficulties. Both models had good reliability and discriminative validity (area under the receiver operating characteristic curve after internal validation: 0.78 and 0.79). ConclusionThe identified combination of predictors reflects the multidimensionality of fatigue, with a significant contribution of patient expectations of chronicity in the prediction of a poor prognosis. These negative perceptions are modifiable, and should receive more attention in the initial assessment of patients presenting with fatigue.

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Fatigue in disease-free cancer patients compared with fatigue in patients with Chronic Fatigue Syndrome

Cited by 129 publications

References 18 publications

Fatigue in low-grade glioma

Fatigue in low-grade glioma

Fatigue in Gynecological Cancer Patients During and After Anticancer Treatment

Prediction of outcome in patients presenting with fatigue in primary care

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