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Record W2947907734 · doi:10.1016/j.jsxm.2019.03.470

013 Pelvic Floor Biometry Assessed Using 3D Translabial Ultrasound in Women with Vulvodynia Submitted to Physical Therapy: A Randomized Controlled Trial

2019· article· en· W2947907734 on OpenAlexaff
Marcela Grigol Bardin, Paulo César Giraldo, Natália Martinho, Mélanie Morin

Bibliographic record

VenueThe Journal of Sexual Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsVulvodyniaMedicinePelvic floorRandomized controlled trialQuality of life (healthcare)Physical therapyPelvic painSurgeryNursing

Abstract

fetched live from OpenAlex

Vulvodynia is a prevalent chronic vulvar pain which has strong negative effects over quality of life of women and their partners. Pelvic floor muscles (PFM) hypertonicity is known to play an important role in its pathophysiology. For many years, studies investigating whether physical therapy was efficient on changing muscle status of PFM of women with vulvodynia used digital and electromyography assessments, with inconsistent findings. The four-dimensional translabial ultrasound (4D-TLUS) is proven to be efficient on measuring biometry of PFM. Recent studies found that biometric measures of PFM of women with vulvodynia differ from those of healthy controls. However, there is a lack of scientific evidence of whether physical therapy is effective on promoting changes on PFM of women with vulvodynia. This knowledge would contribute to improve knowledge about the mechanism throughout physical therapy is effective for treating women with vulvodynia, and to guide future studies aiming to increase effect of treatment for this disabling condition.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.315
Teacher spread0.288 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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