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Record W2884739681 · doi:10.1016/j.jsxm.2018.06.001

Pelvic Floor Muscle Morphometry and Function in Women With Primary and Secondary Provoked Vestibulodynia

2018· article· en· W2884739681 on OpenAlexaff
Félix Fontaine, Chantale Dumoulin, Sophie Bergeron, Marie‐Hélène Mayrand, Samir Khalifé, Guy Wadell, Mélanie Morin

Bibliographic record

VenueThe Journal of Sexual Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsRoyal Victoria HospitalJewish General HospitalMcGill UniversityCentre Hospitalier de l’Université de MontréalInstitut Universitaire de Gériatrie de MontréalRoyal Victoria Regional Health CentreUniversité de MontréalCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsPelvic Floor MusclePelvic floorMedicinePelvic painVulvodyniaPhysical therapyAnatomySurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: Provoked vestibulodynia (PVD) can be categorized as primary PVD affecting women from their first sexual intercourse or secondary PVD, which appears after a period of pain-free intercourse. There is growing evidence that these subgroups may be distinct entities presenting different pathophysiological mechanisms. Although there are documented pelvic floor muscle alterations in provoked vestibulodynia, no study has yet evaluated whether the pelvic floor muscle morphometry or function differed between women with primary and secondary provoked vestibulodynia. AIM: To assess and compare pelvic floor muscle morphometry and function in women with primary and secondary provoked vestibulodynia. METHODS: A total of 212 women with provoked vestibulodynia (primary = 75 and secondary = 137) participated in the study after completing a gynecologic exam to confirm their diagnosis. MAIN OUTCOME MEASURE: Pelvic floor muscle morphometry was evaluated at rest and during maximal contraction using 3D/4D transperineal ultrasound and pelvic floor muscle function (tone, strength, speed of contraction, endurance) was assessed with a dynamometric speculum. RESULTS: Pelvic floor muscle morphometry at rest and during contraction was not statistically different between women with primary and secondary provoked vestibulodynia (P > .327 adjusted for the duration of symptoms; P > .137 unadjusted t-tests). Regarding pelvic floor muscle function assessed with the dynamometric speculum, no differences were found in tone, strength, speed of contraction, endurance between the 2 groups (P > .144 adjusted for duration of symptoms; P > .118 unadjusted t-tests). CLINICAL IMPLICATIONS: Women with primary and secondary PVD do not differ on pelvic floor muscle morphometric or dynamometric characteristics, suggesting that physical therapy modalities should be offered to both subgroups of PVD. STRENGTHS & LIMITATIONS: The current study used a large and mixed clinical and community sample providing more representative findings. Moreover, the analyses were adjusted for relevant variables such as duration of symptoms. Although the inclusion of nulliparous women below 45 years of age ensured the homogeneity of the sample, it may limit the external validity. CONCLUSION: These findings suggest that primary and secondary subgroups of provoked vestibulodynia cannot be differentiated by morphometric or dynamometric characteristics. Pelvic floor muscles alterations in provoked vestibulodynia are therefore not influenced by the onset of the symptoms. Fontaine F, Dumoulin C, Bergeron S, et al. Pelvic floor muscle morphometry and function in women with primary and secondary provoked vestibulodynia. J Sex Med 2018;15:1149-1157.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.255
Teacher spread0.237 · 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 designObservational
Domainnot available
GenreEmpirical

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".

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Citations17
Published2018
Admission routes1
Has abstractyes

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