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Record W3012173409 · doi:10.21037/gpm.2020.02.02

Effectiveness of pessary and pelvic floor physiotherapy alone and in combination for management of stress and mixed urinary incontinence: a literature review

2020· review· en· W3012173409 on OpenAlexaff
Maria Giroux, Corrine Jabs, Susan McLellan, Leslie P. Beck, Amanda Scollan, Nadeane Nelson, Erwin Karreman, Caitlyn Howe, Jihane Henni

Bibliographic record

VenueGynecology and Pelvic Medicine · 2020
Typereview
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsSaskatchewan Science CentreUniversity of Saskatchewan
Fundersnot available
KeywordsPessaryMedicineUrinary incontinencePelvic floorDiscontinuationPhysical therapyStress incontinencePsychological interventionConservative managementQuality of life (healthcare)TolterodineSurgeryOveractive bladderAlternative medicineNursing

Abstract

fetched live from OpenAlex

Stress urinary incontinence (SUI) affects 29–75% of women and can have a significant impact on quality of life. Pessaries are low-cost interventions that have been used since the 5 th century BC. Pessaries can be used to conservatively manage SUI alone or in combination with other evidence-based conservative treatments, such as pelvic floor physiotherapy. Unfortunately, pessaries have been underutilized and the value of pessaries in the treatment of SUI remains uncertain. Pessary is an effective short-term management option for SUI. Improvement in SUI was noted in 36–66% of patients. Combination of pessary and behavioural therapy is more effective than pessary alone. Behavioural therapy includes pelvic floor physiotherapy and instructions for use of pelvic floor muscles to prevent SUI. For long-term pessary use, results are conflicting. The current evidence is limited by considerable discontinuation and dropout rates. There is a gap in knowledge regarding the effects of long-term pessary and pelvic floor physiotherapy use alone and in combination for treatment of SUI with more frequent clinician contact. Future research would guide clinicians in the value of pessary use and assist in managing patient expectations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.463
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
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 head0.014
GPT teacher head0.331
Teacher spread0.317 · 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.

Study designSystematic review
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

Citations0
Published2020
Admission routes1
Has abstractyes

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