(031) Update from the Female Genitopelvic Pain Subcommittee of the International Consultation of Sexual Medicine on a systematic review of the efficacy and safety of treatments for vulvodynia
Notice bibliographique
Résumé
Abstract Introduction Literature on vulvodynia treatment is heterogeneous regarding intervention type and study quality. A recently published systematic review (SR) of treatments focusing on randomized controlled trials (RCTs) and non-RCTs for provoked vestibulodynia (a vulvodynia subtype) concluded that most studies had very low certainty of evidence, which limited the ability to draw conclusions. In addition, the authors noted that their strict eligibility criteria resulted in a restricted number of included studies. It suggests a need for broader, more inclusive SRs to be conducted, which could inform much needed intervention recommendations for vulvodynia. Objective The Female Genitopelvic Pain Subcommittee is conducting a SR of treatments for vulvodynia to assess their effectiveness, safety, and acceptability. The results will provide stakeholders with empirically based treatment recommendations for patients with vulvodynia. Methods Selection criteria: Interventions of interest consist of pharmacological, surgical, psychological, physical therapy, and acupuncture treatments of premenopausal women with clinician-diagnosed vulvodynia (primary, secondary), defined as idiopathic, chronic (≥3 months) vulvar pain. Included studies are RCTs, SRs, and comparative observational studies. Primary outcomes are pain and sexuality, safety, and adverse events, with additional outcomes focusing on mood and quality of life. Selection of studies was done in DistillerSR by two independent reviewers. Conflicts were resolved by discussion or by involving a third reviewer, with excluded studies documented. Full-text screening adheres to the same process. Search methods: A comprehensive search strategy was developed by an information specialist and was peer reviewed. Numerous electronic databases were searched from 1997 to present. No language limit was used. Published filters for controlled trials and other study designs were applied. PubMed/MEDLINE was used to develop the search strategy, which was translated into other databases. A limited grey literature search was also conducted. Data collection and analysis: Data extraction and risk of bias assessment (ROB) will be done in DistillerSR using pre-piloted data extraction forms. Studies will be extracted by one reviewer and independently checked by a second reviewer. Disagreements will be resolved by discussion or by involving a third reviewer. We will extract study characteristics and outcome data. For ROB, we will use the Cochrane Risk of Bias tool and the ROBINS-I tool. We will narratively synthesize the results by comparisons and outcomes. If appropriate, we will conduct a meta-analysis for studies regarded as suitably homogeneous. Last, the certainty of the body of evidence will be assessed using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach. Results The search yielded 10,171 references after duplicates were removed for title and abstract screening. Of these, 599 full-text articles were assessed for inclusion. All screening and preliminary data extraction will be completed by October 2022. General characteristics of the included studies, including interventions identified, will be presented. Conclusions We will report on interim progress of the SR. It will be an opportunity to gather initial input from stakeholders on this evidence-based approach. Discussion of possible multi-organization involvement will also help unify intervention recommendations for those with vulvodynia. Disclosure Any of the authors act as a consultant, employee or shareholder of an industry for: Andrew Goldstein – Daré Bioscience (employee), Incyte (consultant), Gynecologic Cancers Research Foundation (Board of Directors, Research Funding).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,004 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».