TY  - JOUR
AU  - Adam, Salome
AU  - Thong, Melissa
AU  - Martin-Diener, Eva
AU  - Camey, Bertrand
AU  - Egger Hayoz, Céline
AU  - Konzelmann, Isabelle
AU  - Mousavi, Seyed Mohsen
AU  - Herrmann, Christian
AU  - Rohrmann, Sabine
AU  - Wanner, Miriam
AU  - Staehelin, Katharina
AU  - Strebel, Räto T
AU  - Randazzo, Marco
AU  - John, Hubert
AU  - Schmid, Hans-Peter
AU  - Feller, Anita
AU  - Arndt, Volker
TI  - Identifying 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).
JO  - Supportive care in cancer
VL  - 29
IS  - 11
SN  - 1433-7339
CY  - New York,NY
PB  - Springer
M1  - DKFZ-2021-00858
SP  - 6259-6269
PY  - 2021
N1  - #LA:C071# / 2021 Nov;29(11):6259-6269
AB  - Aside 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
KW  - Classes (Other)
KW  - Depression (Other)
KW  - Fatigue (Other)
KW  - Pain (Other)
KW  - Prostate cancer (Other)
KW  - Symptom cluster (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:33847829
DO  - DOI:10.1007/s00520-021-06132-w
UR  - https://inrepo02.dkfz.de/record/168369
ER  -