Chronic Prostatitis in Premature Ejaculation: A Cohort Study in 153 Men
Bibliographic record
Abstract
INTRODUCTION: Premature ejaculation is a common male sexual dysfunction, affecting 30-40% of sexually active men in an age-dependent manner. Chronic prostatitis has been suggested as an important organic cause of premature ejaculation. AIM: The aim of this study was to confirm previous data reported on the incidence of chronic prostatitis in a large cohort of patients with primary and secondary premature ejaculation. METHODS: A total of 153 consecutive heterosexual men aged 29-51 years with premature ejaculation and another 100 male healthy subjects were included in this study. Sequential microbiologic specimens were obtained according to the standardized Meares and Stamey protocol. Nonbacterial prostatitis was defined by the evidence of prostatic inflammation but negative cultures of urine and prostatic fluids in men with various genitourinary symptoms. RESULTS: There was no significant difference between patients and control subjects regarding age, education, or intercourse frequency. Prostatic inflammation was found in 64% and chronic bacterial prostatitis in 52% of the patients with premature ejaculation, respectively, showing statistical significance compared with control subjects (P < 0.05). CONCLUSIONS: Results in our study showed a high prevalence of chronic prostatitis in patients with premature ejaculation. Examination of the prostate, physically and microbiologically, should be considered during assessment of patients with premature ejaculation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".