Sexually Transmitted Infections, Prostatitis, Ejaculation Frequency, and the Odds of Lower Urinary Tract Symptoms
Bibliographic record
Abstract
Early life sexual factors, including histories of sexually transmitted infections, young-onset prostatitis, and frequency of ejaculation, were investigated in relation to lower urinary tract symptoms (LUTS) in a large case-control study nested within the Health Professionals Follow-up Study. In 1992, study participants were asked to provide information on their histories of sexually transmitted infections, prostatitis, ejaculation frequency, surgery for an enlarged prostate, and LUTS. Information on prostate surgery and LUTS was updated every 2 years. LUTS cases were defined as men who reported surgery for an enlarged prostate or high-moderate to severe LUTS (> or = 15 points on the American Urological Association symptom index) on any study questionnaires (n = 4,608). Controls were men who did not report surgery for an enlarged prostate and who scored 0-7 points on the American Urological Association symptom index on all questionnaires (n = 17,967). History of gonorrhea (adjusted odds ratio = 1.76, 95% confidence interval: 1.43, 2.15) or young-onset prostatitis (adjusted OR = 1.55, 95% confidence interval: 1.22, 1.96) was positively associated with LUTS. No association was observed between ejaculation frequency in early adulthood and LUTS. These results suggest that early genitourinary infections may contribute to later development of LUTS, although confirmation in additional population settings is warranted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".