Background: When conservative management fails, patients with stress urinary incontinence (SUI) are considered for surgical treatment. Simpler, more economical and less invasive surgical techniques, such as the Remeex® system, have been developed. Objectives: To analyze the objective effectiveness of the Remeex® system in the treatment of male stress urinary incontinence. To study survival and complication rates of the Remeex® system in male SUI patients. Materials and methods: Prospective observational study between July 2015 and May 2020. Group A (n = 7; GA) patients with mild SUI. Group B (n = 22; GB) patients with moderate SUI. Group C (n = 18; GC) patients with severe SUI. Effectiveness was assessed by the number of patients achieving complete and partial dryness. Complete dryness was defined as patients using 0–1 safety pads per day; partial dryness as a >50% reduction in the number of pads used. Results were analyzed using descriptive statistics, Student’s t-test. Chi2, Fisher’s exact test, ANOVA, and multivariate analysis. Significance was set at p < 0.05. Results: Mean age 69.76 years, mean follow-up 33.52 months. Objective effectiveness was observed in 89.36% of patients with incontinence. The effectiveness was 85.71% in GA, 90.91% in GB and 88.89% in GC. There were no significant differences among groups (p = 1.0000). 34.04% of patients with an implant required at least one readjustment, while 66.00% did not require any. There were no significant differences among groups (p = 0.113) Chi2 = 4.352. 95.74% of implants remained in place by the end of follow-up. We observed complications in 17.02% of patients. Conclusions: Remeex® system is an effective and safe method for male stress urinary incontinence treatment, regardless of the severity of the incontinence, with high survival and low complication and removal rates. System readjustments are required in one-third of the cases.

Objectives: To examine routine clinical practice in prostate health exams in asymptomatic males, and to identify which factors influence it. Materials and methods: Multicentre cross-sectional study in 1068 asymptomatic men aged 51-72. Groups: GA (n = 518): urban areas; GB (n = 550): rural areas. GA subgroups: GA1 (n = 364): prostate specific antigen (PSA) measured; GA2 (n = 154): PSA not measured. GB subgroups: GB1 (n = 346): PSA measured; GB2 (n = 204): PSA not measured. Variables: age, body mass index (BMI), digital rectal examination (DRE), PSA, prostate diagnosis, eating habits, physical exercise, marital status, number of children, occupational status, working hours, concomitant diseases and conditions, family history, attending physician. Descriptive statistics, Student's t-test, chi-square test, Fisher's exact test, ANOVA, Pearson and Spearman correlations were used. Results: Mean age 62.3 years (standard deviation: SD 5.12). Age in GA (60.89, SD 5.53) was lower than in GB (65.10, SD 5.03); age was higher in GA1 (61.22, SD 5.49) than in GA2 (59.04, SD 5.37). There was no difference in BMI between GA and GB. DRE: No exams were performed without prior PSA. No DRE were performed in GA; 11 (3.18%) were performed in GB1. GA1: 53 had PSA > 4 ng/mL, of whom 28 had no prostate disease, 17 had benign prostatic hyperplasia (BPH) and 8 had prostate cancer (PCa). PCa prevalence in men with PSA > 4 ng/mL was 9.24% in GA and 5.19% in GB. GA1: higher PSA was correlated with lower BMI, lower age, higher occupational status, and morning shifts; lower PSA was correlated with higher alcohol consumption; older patients worked shifts and consumed more alcohol; men with higher occupational status consumed less alcohol; more men were married in GA1 (n = 343, [94.23%]) than in GA2 (n = 100, [64.93%]). In GA1, there were more non-smoking men (n = 291, [80.11%]) and men who smoked < 5 cigarettes/day (n = 23, [6.37%]), 6-10 cigarettes/day (n = 15, [4.05%]), and 11.20 cigarettes/day (n = 27, [7.33%]) than in GA2. Older men and men with higher occupational status consumed fewer cigarettes. Men who worked rotating shifts smoked more. There was no relationship between smoking and PSA level. There were more university-educated men in GA (n = 309, [59.65%]) than in GB (n = 110, [20%]). More men did not take physical exercise in GA2 (n = 49, [31.81%]) than in GA1 (n = 75, [23.90%]). GB1: PSA > 4 ng/mL in 89 patients, of whom 32 had PCa; younger men had higher PSA. PSA was higher in GB1 (mean 18.95 ng/mL, SD 12.93) than in GA1 (mean 1.61, SD 1.63). Men in GB ate more fast food than GA, with no difference between GA1 and GA2, or between GB1 and GB2. In GA there was variability in approach among the attending physicians; in GB there was no variability among attending physicians. Conclusions: PSA tests are routinely given to 70.27% of asymptomatic men who consult a doctor in urban environments and to 62.09% of men in rural environments. In urban areas, the decision is affected by the preferences of the attending physician and by whether the patient is married. Occupational category, working hours and educational level have no impact. The decision to undergo a prostate health exam is associated with healthy habits such as physical exercise. No relationship was found between prostate disorders in asymptomatic men and high BMI, dyslipidemia or diet.

Objectives: to demonstrate the benefits of physiotherapy (PT) with pelvic floor biofeedback (BFB) in improving health-related quality of life when used as a complementary therapy after surgical treatment of cystocele, in cases in which perineal pain or discomfort persists. Materials and methods: prospective observational study in 226 women who received complementary therapy after surgical treatment of cystocele due to persistent perineal discomfort or pain. Groups: GA (n = 78): women treated with 25 mg of oral pregabalin every 12 h plus BFB, consisting of 20 once-weekly therapy sessions, each 20 min long, with perineal pregelled surface electrodes connected to a screen which provides visual feedback; GB (n = 148): women treated with oral pregabalin 25 mg every 12 h without BFB. Variables: age, body mass index (BMI), time since onset of cystocele prior to surgery (TO), SF-36 health-related quality of life survey score, diseases and concomitant health conditions, follow-up time, success, or failure of postsurgical treatment. Results: average age 67.88 years (SD 12.33, 30–88), with no difference between GA and GB. Average body mass index (BMI) 27.08 (SD 0.45, 18.74–46.22), with no difference between GA and GB. Time since onset of cystocele prior to surgery (TO) was 6.61 years (SD 0.6), with no difference between GA and GB. Pretreatment SF-36 score was lower in GA success than GB success. Treatment was successful in 141 (63.20%) women and failed in 82 (36.80%). PT and age were the main predictors of success, and the least important were pretreatment SF-36 and the time elapsed after the intervention. In GA, 63 women (80.80%) showed improvement while 15 (19.20%) did not. Age was the main predictor of treatment success, while the least important was BMI. In GB, 78 women (53.80%) showed improvement while 67 (46.20%) did not improve. The main predictor was time since cystocele onset prior to surgery, while the least important was age. The odds ratio (OR) of improving quality of life for each unit increase in SF-36 was 11.5% (OR = 0.115) in all patients, with no difference between success and failure; in GA it was 23.80% (OR = 0.238), with a difference between success and failure; in GB it was 11.11% (OR = 0.111), with no difference between success and failure. GA and GB success had more history of eutocic delivery. GA success had more rUTI. GB success and GA failure both had more history of UI corrective surgery. The “failure” outcome had a higher number of patients with more than two concomitant pathological conditions. Conclusions: BFB as an adjunctive treatment improves quality of life in women suffering from persistent discomfort after surgery for cystocele. Young women who meet the criteria for recurrent urinary tract infection or who have a history of eutocic delivery show greater improvement. Body mass index does not influence response to treatment, while the presence of more than two concomitant conditions indicates a poor prognosis for improving quality of life.

Background: Prostate cancer is currently the most common malignant tumour in men. Research on hormone therapy advances is necessary because, unfortunately, some tumours are not organ-confined. Objective: To review and analyse the current state of evidence regarding clinical trials with neoadjuvant or adjuvant hormone therapy for prostate cancer and determine the contribution of these trials to the clinical practice. Methods: A critical systematic analysis of hormone therapy clinical trials for prostate cancer in the American Society of Clinical Oncology (ASCO) 2022 official database was carried out and following the Cochrane Handbook for Systematic Reviews of Interventions, a meta-analysis of random effects and standard mean descriptive statistics were performed. Groups: Group A = Neoadjuvant (n = 53) clinical trials and Group B = Adjuvant (n = 73) clinical hormone therapy. Variables: Phase of the trial, modality of primary treatment, investigated intervention or drug, molecular targets, trial length, sponsors and collaborators, country/countries of trial development, estimated enrolment, assignment of patients, intervention and masking model, trial purpose, related articles, the average number of studied patients, and conclusive results in clinical practice. Results: A total of 7.15% of the studies were in phase I, 14.28% between phase I-phase II, 52.38% in phase II, 0.23% between phase II-phase III and 23.80% in phase III. In the neoadjuvant group, enzalutamide and abiraterone were more frequently used, the androgen receptor was more frequently investigated as a molecular target. In the adjuvant group, abiraterone and prednisone were more frequently used and the androgen receptor and cytochrome P450 were more frequently investigated. The mean number of articles related to each trial was 5.26 (SD 3.15, 1–10). In 47.27% of the published articles directly related to the trials, the investigated treatment was superior to the standard treatment. Adjuvant investigated drugs showed more superiority (52.22%) than neoadjuvant drugs (41.33%). Conclusions: Only 41.33% of neoadjuvant studies and 52.22% of adjuvant studies show conclusive results of superiority for the proposed therapeutic strategies. About a third of related scientific publications that transfer the results to clinical practice did not report conclusive results for either neoadjuvant (32%) or adjuvant (37.78%) therapy.