Physical Therapy for Vulvar Vestibulitis Syndrome: A Retrospective Study
Bibliographic record
Abstract
This retrospective study evaluated the effectiveness of physical therapy in relieving painful intercourse and improving sexual function in women diagnosed with vulvar vestibulitis. This syndrome is a frequent cause of premenopausal dyspareunia and is characterized by a sharp, burning pain located within and limited to the vulvar vestibule (vaginal entry) and elicited primarily via pressure applied to the area. Participants were 35 women with vulvar vestibulitis who took part in physical therapy treatment for an average of 7 sessions. We conducted telephone interviews to assess whether physical therapy or other subsequent treatments impacted on pain during intercourse and sexual functioning. Length of treatment follow up ranged from 2 to 44 months, with a mean of 16 months. Physical therapy yielded a complete or great improvement for 51.4% of participants, a moderate improvement for 20.0% of participants, and little to no improvement for the other 28.6%. Treatment resulted in a significant decrease in pain experienced both during intercourse and gynecological examinations; it also resulted in a significant increase in intercourse frequency and levels of sexual desire and arousal. Successful patients were significantly less educated than nonsuccessful patients. Findings demonstrate that physical therapy is a promising treatment modality for dyspareunia associated with vulvar vestibulitis.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".