Vulvodynia: Assessment and Treatment
Bibliographic record
Abstract
INTRODUCTION: Vulvodynia constitutes a highly prevalent form of sexual pain in women, and current information regarding its assessment and treatment is needed. AIM: To update the scientific evidence published in 2010, from the Third International Consultation on Sexual Medicine, pertaining to the assessment and treatment of women's sexual pain. METHODS: An expert committee, as part of the Fourth International Consultation on Sexual Medicine, was comprised of researchers and clinicians from biological and social science disciplines for the review of the scientific evidence on the assessment and treatment of women's genital pain. MAIN OUTCOME MEASURES: A review of assessment and treatment strategies involved in vulvodynia. RESULTS: We recommend the following treatments for the management of vulvodynia: psychological interventions, pelvic floor physical therapy, and vestibulectomy (for provoked vestibulodynia). We also support the use of multidisciplinary treatment approaches for the management of vulvodynia; however, more studies are needed to determine which components are most important. We recommend waiting for more empirical evidence before recommending alternative treatment options, anti-inflammatory agents, hormonal agents, and anticonvulsant medications. Although we do not recommend lidocaine, topical corticosteroids, or antidepressant medication for the management of vulvodynia, we suggest that capsaicin, botulinum toxin, and interferon be considered second-line avenues and that their recommendation be revisited once further research is conducted. CONCLUSION: A comprehensive assessment is needed to understand the pain experience of women presenting with vulvodynia. In addition, treatment typically progresses from less invasive to more invasive, and several treatment options are worth pursuing.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".