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Record W2089847307 · doi:10.1002/nau.20773

Intravaginal pressure generated during voluntary pelvic floor muscle contractions and during coughing: The effect of age and continence status

2009· article· en· W2089847307 on OpenAlexaff
Stéphanie J. Madill, Linda McLean

Bibliographic record

VenueNeurourology and Urodynamics · 2009
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicinePelvic Floor MusclePelvic floorSurgery

Abstract

fetched live from OpenAlex

AIMS: The purpose of this study was to determine if, compared to continent women, women with stress urinary incontinence (SUI) generate lower intravaginal pressure (IVP) during maximum voluntary pelvic floor muscle contractions (PFM MVCs) or coughing, slower contraction times or less ability to sustain IVP, and if there are reductions in the ability to generate IVP during these tasks associated with increasing age. METHODS: Eighty-seven (35 continent, 35 with mild SUI and 17 with severe SUI) women participated. IVP data were acquired while participants performed PFM MVCs, maximum effort coughs and a sustained PFM contraction. The maximum IVP amplitudes measured during the MVCs and coughs, the time for IVP to reach a peak during coughing and the time for the IVP to drop by 50% during the sustained contraction were compared among the groups using separate analyses of covariance, with age included as a covariate. RESULTS: There were no differences in maximum PFM MVC IVP or in endurance time among the groups. Women with SUI produced higher cough IVP amplitudes than continent women. Age was associated with a reduction in IVP and with longer contraction times during coughing. CONCLUSIONS: The data suggest that PFM weakness may not be an important factor in the pathophysiology of SUI. Women with SUI may intuitively use their PFMs to compensate for urethral sphincter or fascial deficits. The IVP generated during coughing and the speed at which peak IVP is attained are, however, substantially reduced with increasing age, which might affect continence in older women.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.268
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

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

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 head0.003
GPT teacher head0.223
Teacher spread0.219 · 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 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".

Quick stats

Citations25
Published2009
Admission routes1
Has abstractyes

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