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Purpose: The EPIC-26 (Expanded Prostate Cancer Index Composite-Short Form) is a validated questionnaire for measuring health related quality of life. However, the relationship between domain scores and functional outcomes remains unclear, leading to potential confusion about expectations after treatment. For instance, does a sexual function domain score of 80 mean that a patient can achieve erection sufficient for intercourse? Consequently we sought to determine the relationship between the domain score and the response to obtaining the best possible outcome for each question.
Materials And Methods: Using data from the CEASAR (Comparative Effectiveness Analysis of Surgery and Radiation) study, a multicenter, prospective study of men diagnosed with localized prostate cancer, we analyzed 11,464 EPIC-26 questionnaires from a total of 2,563 men at baseline through 60 months of followup who were treated with robotic prostatectomy, radiotherapy or active surveillance. We dichotomized every item into its best possible outcome and assessed the percent of men at each domain score who achieved the best result.
Results: For every EPIC-26 item the frequency of the best possible outcome was reported by domain score category. For example, a score of 80 to 100 on sexual function corresponded to 97% of men reporting erections sufficient for intercourse while at a score of 40 to 60 only 28% reported adequate erections. Also, at a score of 80 to 100 on the urinary incontinence domain 93% of men reported rarely or never leaking vs 6% at a score of 61 to 80.
Conclusions: Our findings indicate a novel way to interpret EPIC-26 domain scores, demonstrating large variations in the percent of respondents reporting the best possible outcomes over narrow domain score differences. This information may be valuable when counseling men on treatment options.
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http://dx.doi.org/10.1097/JU.0000000000000392 | DOI Listing |
Climacteric
September 2025
Obstetrics and Gynecology Department, Marmara University School of Medicine, Istanbul, Turkey.
Objective: This study aimed to investigate the association between the day-to-day impact of vaginal aging and female sexual function among postmenopausal Turkish women.
Method: The McCoy Female Sexuality Questionnaire (MFSQ) and the Day-to-Day Impact of Vaginal Aging (DIVA) questionnaire were distributed to 195 postmenopausal women. The most bothersome vulvovaginal symptoms were recorded.
J Pharm Policy Pract
September 2025
Division of Social and Administrative Pharmacy, Faculty of Pharmaceutical Sciences, Burapha University, Chonburi, Thailand.
Background: Although the 12-item Short Form Health Survey version 2 (SF-12v2) is suitable for measuring health status in the general Thai population, it has been evaluated using classical test theory. Rasch analysis, however, offers a psychometric testing method that converts ordinal scales to interval-level data without breaching parametric assumptions. Thus, this study aimed to assess the measurement properties of Thai SF-12v2 and SF-6D items derived from it among the general Thai population.
View Article and Find Full Text PDFFront Psychol
August 2025
Department of Neurology, Medical University of Graz, Graz, Austria.
Background: Cognitive impairment and psychological complaints are among the most common consequences for patients suffering from Post-Covid-19 condition (PCC). As there are limited training options available, this study examined a longitudinal tablet-based training program addressing cognitive and psychological symptoms.
Methods: Forty individuals aged between 36 and 71 years ( = 49.
Rev Cuid
July 2025
Universidade Estadual de Montes Claros (UNIMONTES), Montes Claros, Brazil. E-mail: (UNIMONTES) Montes Claros Brazil
Introduction: College students are exposed to internal and external factors that increase the risk of anxiety and can negatively impact their quality of life.
Objective: To evaluate anxiety and quality of life before and after the application of auriculotherapy associated with Baduanjin Qigong and the satisfaction of college students with the treatment.
Materials And Methods: Quasi-experimental study with 44 college students.
Med Phys
September 2025
School of Computer, Electronics and Information, Guangxi University, Nanning, China.
Background: Deformable medical image registration is a critical task in medical imaging-assisted diagnosis and treatment. In recent years, medical image registration methods based on deep learning have made significant success by leveraging prior knowledge, and the registration accuracy and computational efficiency have been greatly improved. Models based on Transformers have achieved better performance than convolutional neural network methods (ConvNet) in image registration.
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