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000168369 041__ $$aEnglish
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000168369 1001_ $$aAdam, Salome$$b0
000168369 245__ $$aIdentifying classes of the pain, fatigue, and depression symptom cluster in long-term prostate cancer survivors-results from the multi-regional Prostate Cancer Survivorship Study in Switzerland (PROCAS).
000168369 260__ $$aNew York,NY$$bSpringer$$c2021
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000168369 500__ $$a#LA:C071# / 2021 Nov;29(11):6259-6269
000168369 520__ $$aAside from urological and sexual problems, long-term (≥5 years after initial diagnosis) prostate cancer (PC) survivors might suffer from pain, fatigue, and depression. These concurrent symptoms can form a cluster. In this study, we aimed to investigate classes of this symptom cluster in long-term PC survivors, to classify PC survivors accordingly, and to explore associations between classes of this cluster and health-related quality of life (HRQoL).Six hundred fifty-three stage T1-T3N0M0 survivors were identified from the Prostate Cancer Survivorship in Switzerland (PROCAS) study. Fatigue was assessed with the EORTC QLQ-FA12, depressive symptoms with the MHI-5, and pain with the EORTC QLQ-C30 questionnaire. Latent class analysis was used to derive cluster classes. Factors associated with the derived classes were determined using multinomial logistic regression analysis.Three classes were identified: class 1 (61.4%) - 'low pain, low physical and emotional fatigue, moderate depressive symptoms'; class 2 (15.1%) - 'low physical fatigue and pain, moderate emotional fatigue, high depressive symptoms'; class 3 (23.5%) - high scores for all symptoms. Survivors in classes 2 and 3 were more likely to be physically inactive, report a history of depression or some other specific comorbidity, be treated with radiation therapy, and have worse HRQoL outcomes compared to class 1.Three distinct classes of the pain, fatigue, and depression cluster were identified, which are associated with treatment, comorbidities, lifestyle factors, and HRQoL outcomes. Improving classification of PC survivors according to severity of multiple symptoms could assist in developing interventions tailored to survivors' needs.
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000168369 650_7 $$2Other$$aClasses
000168369 650_7 $$2Other$$aDepression
000168369 650_7 $$2Other$$aFatigue
000168369 650_7 $$2Other$$aPain
000168369 650_7 $$2Other$$aProstate cancer
000168369 650_7 $$2Other$$aSymptom cluster
000168369 7001_ $$0P:(DE-He78)24fe6057396bec79d2638615b12eb989$$aThong, Melissa$$b1$$udkfz
000168369 7001_ $$aMartin-Diener, Eva$$b2
000168369 7001_ $$aCamey, Bertrand$$b3
000168369 7001_ $$aEgger Hayoz, Céline$$b4
000168369 7001_ $$aKonzelmann, Isabelle$$b5
000168369 7001_ $$aMousavi, Seyed Mohsen$$b6
000168369 7001_ $$aHerrmann, Christian$$b7
000168369 7001_ $$aRohrmann, Sabine$$b8
000168369 7001_ $$aWanner, Miriam$$b9
000168369 7001_ $$aStaehelin, Katharina$$b10
000168369 7001_ $$aStrebel, Räto T$$b11
000168369 7001_ $$aRandazzo, Marco$$b12
000168369 7001_ $$aJohn, Hubert$$b13
000168369 7001_ $$aSchmid, Hans-Peter$$b14
000168369 7001_ $$aFeller, Anita$$b15
000168369 7001_ $$0P:(DE-He78)d023fdf423d87ee6c710e34dd7581fa0$$aArndt, Volker$$b16$$eLast author$$udkfz
000168369 773__ $$0PERI:(DE-600)1463166-0$$a10.1007/s00520-021-06132-w$$n11$$p6259-6269$$tSupportive care in cancer$$v29$$x1433-7339$$y2021
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