Objectives: To provide population-based estimates of typical adverse effects (AEs), e.g. urinary, bowel and sexual dysfunction, in patients with non-metastatic recurrence-free prostate cancer (PCa) by curative treatment method, including no treatment.
View Article and Find Full Text PDFBackground: Few studies have dealt with chronic fatigue (CF) in definitive radiotherapy (RAD) patients during and after (neo-)adjuvant androgen deprivation therapy (ADT) for prostate cancer.
Methods: CF was the primary outcome in this population-based cross-sectional study as evaluated by the Fatigue Questionnaire. We compared the post-RAD levels of fatigue in two groups of > or = 1 year prostate cancer survivors; those with ongoing medical castration (HTcont) and those who had used a luteinizing hormone-releasing hormone analog (LHRHa), but had discontinued the therapy at the time of the survey (HTdis).
Prostate Cancer Prostatic Dis
June 2010
Chronic fatigue (CF) is a distressing symptom that follows cancer treatment; however, it has rarely been studied in hormone-naïve prostate cancer survivors after radical prostatectomy (RP) or definitive radiotherapy (RAD). We investigated CF in prostate cancer survivors after RP or RAD as monotherapy and explored associations between CF and medical and psychosocial variables. A population-based, cross-sectional postal survey in 2006 included Norwegian hormone-naïve survivors with the diagnosis of prostate cancer in 2004 who were treated with RP (n=337) or RAD (n=184).
View Article and Find Full Text PDFObjective: To study the concordance between the Gleason scores of needle biopsies and radical prostatectomy (RP) specimens in a population-based registry, to clarify whether the concordance depends on the annual number of RP specimens assessed in the pathology unit, and to identify preoperative clinical factors that predict upgrading from a Gleason score of
Patients And Methods: Through the Cancer Registry of Norway, we identified 1116 patients with available Gleason scores from biopsy and RP specimens. Concordance was evaluated using the kappa coefficient, and predictors of concordance were assessed in univariate and multivariate logistic regression analyses.