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Record W4391463985 · doi:10.1093/jsxmed/qdad175

Investigating the role of the pelvic floor muscles in sexual function and sexual response: a systematic review and meta-analysis

2024· review· en· W4391463985 on OpenAlexaff
Stéphanie Faucher, Gabrielle Déry-Rouleau, Marcela Grigol Bardin, Mélanie Morin

Bibliographic record

VenueThe Journal of Sexual Medicine · 2024
Typereview
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsSexual functionPelvic floorObservational studySexual dysfunctionMedicineMeta-analysisPopulationPelvic painCritical appraisalPelvic Floor MuscleClinical psychologyPhysical therapyInternal medicineSurgeryPathologyAlternative medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: The pelvic floor muscles (PFMs) have been suggested to play a key role in sexual function and response in women. However, syntheses of the evidence thus far have been limited to interventional studies in women with pelvic pain or pelvic floor disorders, and these studies have failed to fully capture the involvement of the PFMs in a broader population. AIM: We sought to appraise the evidence regarding the role of the PFMs in sexual function/response in women without pelvic pain or pelvic floor disorders. More specifically, we examined the following: (1) effects of treatment modalities targeting the PFMs on sexual function/response, (2) associations between PFM function and sexual function/response, and (3) differences in PFM function between women with and those without sexual dysfunction. METHODS: We searched for all available studies in eight electronic databases. We included interventional studies evaluating the effects of PFM modalities on sexual outcomes, as well as observational studies investigating the association between PFM function and sexual outcomes or the differences in PFM function in women with and those without sexual dysfunction. The quality of each study was assessed using the Mixed Methods Appraisal Tool. Estimates were pooled using random-effects meta-analyses whenever possible, or a narrative synthesis of the results was provided. MAIN OUTCOMES: The main outcomes were sexual function (based on a questionnaire)/sexual response (based on physiological test), and PFM function (assessment of the PFM parameters such as strength and tone based on various methods). RESULTS: A total of 33 studies were selected, including 14 interventional and 19 observational studies, most of which (31/33) were deemed of moderate or high quality. Ten out of 14 interventional studies in women with and without sexual dysfunctions showed that PFM modalities had a significant effect on sexual function. Regarding the observational studies, a meta-analysis revealed a significant moderate association between PFM strength and sexual function (r = 0.41; 95% CI, 0.08-066). Of the 7 observational studies performed to assess sexual response, all showed that the PFMs were involved in arousal or orgasm. Conflicting results were found in the 3 studies that evaluated differences in PFM function in women with and those without sexual dysfunction. CLINICAL IMPLICATIONS: Our results highlight the contribution of the PFMs in sexual function/response. STRENGTHS AND LIMITATIONS: One strength of this review is the inclusion of a broad range of study designs and outcomes, allowing a thorough synthesis of evidence. However, interpretations of these data should consider risk of bias in the studies, small sample sizes, and the absence of control/comparison groups. CONCLUSION: The findings of this review support the involvement of the PFMs in sexual function/response in women without pelvic pain or pelvic dysfunction. Well-designed studies should be performed to further investigate PFM modalities as part of the management of sexual dysfunction.

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 imitation

Not 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.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.051
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0180.033
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.076
GPT teacher head0.352
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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".

Quick stats

Citations16
Published2024
Admission routes1
Has abstractyes

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