Lower urinary tract symptoms and male sexual function: recommendations from the fifth international consultation on sexual medicine (ICSM 2024)
Bibliographic record
Abstract
INTRODUCTION: Benign prostatic hyperplasia (BPH) is an age-related condition affecting many men. Emerging evidence highlights a strong relationship between BPH, lower urinary tract symptoms (LUTS) and sexual dysfunction, including erectile dysfunction (ED), reduced sexual desire, hormonal imbalances, and ejaculatory dysfunction, warranting a comprehensive approach to diagnosis and management. OBJECTIVES: This report aims to provide recommendations for identifying and managing sexual dysfunction associated with BPH and LUTS. METHODS: Based on guidelines from the International Consultation on Sexual Medicine, a literature review was conducted. Recommendations were graded using the Grading of Recommendations Assessment, Development and Evaluation system. RESULTS: The association between BPH, LUTS, and sexual dysfunction is significant, with ED, ejaculatory dysfunction, and hypogonadism being common complications. Lifestyle modifications, medical therapies, minimally invasive surgical therapies, prostate artery embolization, and surgeries (eg, Transurethral resection of the prostate, HoLEP, Aquablation) are among the recommended treatments. Each intervention carries varying risks of sexual dysfunction, requiring specific tailored treatment plans. CONCLUSIONS: BPH/LUTS significantly affect sexual health, emphasizing the need for a multidisciplinary approach to management. Future research should refine diagnostic criteria and develop treatments that minimize sexual side effects. Enhanced education for patients and their partners could improve quality of life and coping mechanisms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".