038 Successful Utilization of Promescent Topical Treatment for Refractory Premature Ejaculation
Bibliographic record
Abstract
There are few treatments available for treatment refractory rapid ejaculation (RE). Following ISSM treatment guidelines, utilization of single and multimodal therapies may improve ejaculatory latency times, thus improving the sexual experience and quality of life (QoL) of men with RE and their partners. In Canada, paroxetine is used off label an oral treatment, as dapoxetine (which is available worldwide and is, for example, on the NHS list of treatments in the UK) is not approved by Health Canada. Other options include couples therapy, behavioural modification, topical anesthetics, other oral off-label agents and use of condoms. The novel delivery lidocaine spray for premature ejaculation (Promescent) is available over-the-counter, and we assess efficacy in this difficult to treat group. Promescent, a novel lidocaine-only eutectic formulation enabling increased absorption of the anesthetic through the skin (refer to US patents 8507561 and 8563616) is available as an OTC product and was utilized in 20 consecutive men for treatment of refractory RE. All men had been treated for RE previously with at least two different modalities for a minimum of two years, and followed clinically through treatment their failures. The goal was to determine “real-life” success, as defined by patient and partner satisfaction with treatment and continued use of the specific treatment.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".