A randomized clinical trial comparing group cognitive–behavioral therapy and a topical steroid for women with dyspareunia.
Bibliographic record
Abstract
OBJECTIVE: This 13-week randomized clinical trial aimed to compare group cognitive-behavioral therapy (GCBT) and a topical steroid in the treatment of provoked vestibulodynia, the most common form of dyspareunia. METHOD: Participants were 97 women randomly assigned to 1 of 2 treatment conditions and assessed at pretreatment, posttreatment and 6-month follow-up via structured interviews and standard questionnaires pertaining to pain (McGill Pain Questionnaire, 11-point numerical rating scale of pain during intercourse), sexual function (Female Sexual Function Index, intercourse frequency), psychological adjustment (Pain Catastrophizing Scale, Painful Intercourse Self-Efficacy Scale), treatment satisfaction, and participant global ratings of improvements in pain and sexuality. RESULTS: Intent-to-treat multilevel and covariance analyses showed that both groups reported statistically significant reductions in pain from baseline to posttreatment and 6-month follow-up, although the GCBT group showed significantly more pain reduction at 6-month follow-up on the McGill Pain Questionnaire. The 2 groups significantly improved on measures of psychological adjustment, and the GCBT group had significantly greater reductions in pain catastrophizing at posttreatment. Both groups' sexual function significantly improved from baseline to posttreatment and 6-month follow-up, and the GCBT group was doing significantly better at the 6-month follow-up. Treatment satisfaction was significantly higher in the GCBT group, as were self-reported improvements in pain and sexuality. CONCLUSIONS: Findings suggest that GCBT may yield a positive impact on more dimensions of dyspareunia than a topical steroid, and support its recommendation as a first-line treatment for provoked vestibulodynia.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".