A Prospective Study of Pelvic Floor Physical Therapy: Pain and Psychosexual Outcomes in Provoked Vestibulodynia
Bibliographic record
Abstract
INTRODUCTION: Research suggests that increased tension in the pelvic floor muscles of women with provoked vestibulodynia (PVD, the most common form of chronic vulvar pain) may play an important role in maintaining and exacerbating their pain. However, no prospective studies of pelvic floor physical therapy (PFPT) for PVD have been carried out. AIM: This study prospectively examined the effectiveness of a PFPT intervention in treating the pain and sexual and psychological components of PVD, and determined predictors of greater treatment success. METHODS: Thirteen women with PVD completed eight sessions of PFPT. Participants were assessed at pre- and post-treatment via gynecological examinations, vestibular pain threshold testing, structured interviews, and standardized questionnaires. A 3-month follow-up interview assessed any further changes. MAIN OUTCOME MEASURES: Outcome measures included: vestibular pain thresholds, gynecological examination and intercourse pain ratings, sexual function and intercourse frequency, mental health, negative pain cognitions, and success rates. RESULTS: Following treatment, participants had significantly higher vestibular pain thresholds and significantly lower pain ratings during the gynecological examination. Participants reported significant reductions in pain intensity during intercourse and were able to engage in significantly more pain-free activities. Although overall sexual function significantly improved, various components of sexual function and frequency of intercourse did not. Participants' mental health did not significantly improve; however, pain catastrophizing and pain-related anxiety significantly decreased. The treatment was considered to be successful for 10 of the 13 participants, and predictors of greater treatment success included greater reductions in helplessness and a longer period of time in treatment. CONCLUSIONS: Results provide preliminary support for the effectiveness of PFPT in treating the pain of PVD, as well as some of the sexual and cognitive correlates of PVD. The results also indicate the need for large-scale, randomized studies of the effectiveness of PFPT in comparison and in conjunction with other treatment options.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".