Effects of a New Functional-Sexological Treatment for Premature Ejaculation
Bibliographic record
Abstract
Premature ejaculation is the most-prevalent sexual problem in men. Various treatments have been developed to increase control over the moment of ejaculation, with two of the most frequent techniques used in behavior therapy being the squeeze method developed by Masters and Johnson (1970) and the "stop-and-start" technique described by Semans (1956). These treatments are effective and improve matters in most cases. However, couples can be averse to using them, with some women reluctant to squeeze their partner's penis and some couples unwilling to interrupt sexual interaction once initiated. Under a new functional-sexological treatment intended to improve control over the moment of ejaculation, men learn how to control their arousal without having to interrupt sexual activity. In this study, we compared three groups of couples in which the man suffered from premature ejaculation. One followed the new functional-sexological treatment, another followed a behavioral treatment--including the squeeze and stop-and-start techniques--and a control group was placed on a waiting list. We used several questionnaires to assess the effects of the various treatments. Moreover, subjects provided an objective measure of duration of intercourse from penetration to ejaculation. These measures were taken pre- and posttreatment and at three-month follow-up. We ran analyses of variance to assess the effects of the treatments. Results indicate that the new treatment is very effective. We observed significant improvements in duration of intercourse, sexual satisfaction, and sexual functioning. The subjects in the behavioral treatment group obtained similar results. Furthermore, subjects from both groups were satisfied with their respective 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.003 | 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".