Purpose: To assess the effect of a pedometer use in men aged between 50 and 59 years presenting lower urinary tract symptoms (LUTS).
Methods: A single-center, not blind clinical trial with two parallel groups and equal randomization was performed with 38 men aged 50-59 years with LUTS. All patients received guidance and encouragement to physical activity practice. Only the intervention group received a Pedometer with a goal of 10,000 steps/day. After a period of 12 weeks, the groups were compared through the following variables: number of steps/day, IPSS score, flexibility, anthropometric values and Maximum Oxygen Consumption (VO2max).
Results: The number of steps per day in the intervention group was 9753 ± 1549 compared to 6212 ± 1152 in the control group (p = 0.004). Pedometer use efficacy was a 50% risk reduction of not achieve the goal of 10,000 steps per day. Regarding IPSS score, the intervention group achieved lower scores (6.95 ± 2.85 vs. 10.16 ± 3.23, p = 0.007). Pedometer use efficacy was a 94% risk reduction of not achieve more than 30% reduction in IPSS score. In VO2max, the intervention group performed better than the control group (34.84 ± 3.25 vs. 32.58 ± 6.89; p = 0.011). There was no difference in flexibility and anthropometric values between the groups.
Conclusions: The use of pedometer in LUTS patients provided an increase in the number of steps/day, a decrease in LUTS score and an improvement in VO2max measure.
Clinical Trial Registration: Trial url: www.ensaiosclinicos.gov.br/rg/RBR-4vynk5/ . Register Number: RBR-4vynk5 .
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s11255-021-02970-z | DOI Listing |
Lung Cancer
January 2025
Dept. of Medical Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada.
Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
View Article and Find Full Text PDFLung Cancer
January 2025
Internal Medicine III, Wakayama Medical University, Wakayama, Japan.
Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).
Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.
J Geriatr Oncol
January 2025
Hellenic Oncology Research Group (HORG), 55, Lomvardou str, 11470 Athens, Greece.
Introduction: The use of taxanes in the adjuvant setting of early breast cancer (BC) confers survival benefits, however, their role in older patients merits further study. This retrospective pooled analysis of randomized controlled trials conducted by the Hellenic Oncology Research Group (HORG) aims to assess the efficacy and safety of taxane-based adjuvant chemotherapy in older women with BC.
Materials And Methods: Five phase III trials containing a taxane, conducted by HORG between 1995 and 2013, were included in a patient-data pooled analysis.
Acta Pharm
December 2024
Department of Clinical Pharmacy, University Hospital Dubrava, 10000 Zagreb Croatia.
Cardiovascular diseases (CVDs) are the leading cause of mortality and morbidity globally. It is estimated that 17.9 million people died from CVDs in 2019, which represents 32 % of all deaths worldwide.
View Article and Find Full Text PDFCir Cir
January 2025
Department of Anesthesiology and Critical Care, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey.
Objective: The agitation that can occur in patients undergoing vitreoretinal surgery on awakening from general anesthesia is a serious post-operative problem. In our study, we aimed to compare the effects of different anesthesia methods on emergence agitation in patients undergoing vitreoretinal surgery.
Method: Patients undergoing vitreoretinal surgery were divided into two groups: Total intravenous anesthesia (Group T) and inhalation anesthesia (Group D) according to the maintenance of anesthesia applied by consulting the records.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!