Purpose: To investigate the efficacy and safety of KBMSI-2, an herbal formula consisting of Ginseng Radix Rubra, , Sieb. et Zucc., Mill, and Linn, for the treatment of erectile dysfunction (ED).
Materials And Methods: Patients were instructed to take placebo or 6 g of KBMSI-2 twice per day for 8 weeks, at least 1 hour after food intake. The primary outcome was a change from baseline in erectile function (EF) domain scores of the International Index of Erectile Function (IIEF) questionnaire. Secondary outcome included changes from baseline in all domain scores of the IIEF, scores on the Aging Males' Symptoms scale, and serum total testosterone levels, as well as changes in questions 2 and 3 of the Sexual Encounter Profile, responses to the Global Assessment Question, and changes in the number of 'yes' responses on the Androgen Deficiency in Aging Males questionnaire.
Results: Patients receiving KBMSI-2 had a statistically significant improvement in baseline IIEF-EF domain scores at 8 weeks compared to the placebo group. Intercourse satisfaction domain and the total IIEF scores also increased in the KBMSI-2 group. However, we could not find any significant differences in other efficacy variables between the groups. Only one patient had an adverse event, which was mild in severity.
Conclusions: This preliminary clinical study of KBMSI-2 shows significant improvements in EF and intercourse satisfaction, as measured by the IIEF in patients with ED. Further studies using a larger number of patients in the long term should follow.
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http://dx.doi.org/10.4111/icu.2019.60.4.275 | DOI Listing |
Menopause
January 2025
National Institute of Health, Cheongju, Republic of Korea.
Objectives: We examined the health-related quality of life (HRQoL) during menopause transition (MT) among middle-aged Korean women.
Methods: This cross-sectional study comprised 2,290 middle-aged women who completed web-based questionnaires between 2020 and 2022. Based on self-reported menstrual cycle patterns, menopause status was classified as premenopausal, early or late transition, or postmenopausal.
J Glaucoma
January 2025
Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India.
Prcis: Cognitive impairment in multiple domains was observed in primary open angle glaucoma patients as compared to age and gender matched healthy controls.
Objective: Evaluation of cognitive impairment in individuals with Primary Open Angle Glaucoma (POAG).
Methods: In this case-control study, individuals with POAG (cases, n=70) were compared with age- and sex-matched healthy individuals (controls, n=70) using detailed ophthalmological evaluation, cognitive assessment and serum cortisol level.
Ann Rheum Dis
January 2025
Masters and Doctoral Programs in Physical Therapy, Universidade Cidade de Sao Paulo, Sao Paulo, Brazil; Discipline of Physiotherapy, Graduate School of Health, Faculty of Health, University of Technology, Sydney, New South Wales, Australia.
Objectives: The aim of this study was to assess the accuracy and readability of the answers generated by large language model (LLM)-chatbots to common patient questions about low back pain (LBP).
Methods: This cross-sectional study analysed responses to 30 LBP-related questions, covering self-management, risk factors and treatment. The questions were developed by experienced clinicians and researchers and were piloted with a group of consumer representatives with lived experience of LBP.
Asian Pac J Cancer Prev
January 2025
Department of Adult Nursing, College of Nursing, Baghdad University, Iraq.
Introduction: Breast cancer is the most prevalent cancer among women worldwide, and advancements in detection and treatment have improved survival rates. Evaluating breast cancer patients' quality of life is essential for effective healthcare planning. This study aims to assess the level of quality of life and its associated factors, including sociodemographic, clinical, coping skills, and psychological factors among breast cancer women in Iraq.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Department of Computer Science, Duke University, Durham, NC 27708, United States.
Objective: Prediction of mortality in intensive care unit (ICU) patients typically relies on black box models (that are unacceptable for use in hospitals) or hand-tuned interpretable models (that might lead to the loss in performance). We aim to bridge the gap between these 2 categories by building on modern interpretable machine learning (ML) techniques to design interpretable mortality risk scores that are as accurate as black boxes.
Material And Methods: We developed a new algorithm, GroupFasterRisk, which has several important benefits: it uses both hard and soft direct sparsity regularization, it incorporates group sparsity to allow more cohesive models, it allows for monotonicity constraint to include domain knowledge, and it produces many equally good models, which allows domain experts to choose among them.
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