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Record W4289134999 · doi:10.3390/ijerph19159308

Does the Contractile Capability of Pelvic Floor Muscles Improve with Knowledge Acquisition and Verbal Instructions in Healthy Women? A Systematic Review

2022· review· en· W4289134999 on OpenAlexaboutno aff
Lara Díaz-Álvarez, Laura Lorenzo-Gallego, Helena Romay‐Barrero, Virginia Prieto-Gómez, María Torres-Lacomba, Beatriz Navarro-Brazález

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2022
Typereview
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhysical therapyGrading (engineering)MEDLINECochrane LibraryPopulationScopusPelvic floorSystematic reviewProprioceptionPhysical medicine and rehabilitationRandomized controlled trialSurgery

Abstract

fetched live from OpenAlex

Seventy percent of women with pelvic floor dysfunctions (PFDs) are estimated to present deficient consciousness of their pelvic floor muscles (PFMs) and poor ability to contract them. Improving the proprioception of PFMs, defined as the capacity to know the status and position of each body part, and adequately contracting them could be a protective factor to prevent the appearance of PFDs in the general female population. This study aimed to identify the effectiveness of educational interventions and verbal instructions on how to contract and exercise the PFMs to improve the proprioception of the PFMs in women. A systematic search of studies published in the last 20 years until March 2022 was conducted in the PubMed, Cochrane Library, Web of Science, Scopus, PEDro, Lilacs, and Dialnet databases. A meta-analysis could not be performed due to the heterogeneity in the types of studies and included populations. This review followed the PRISMA guidelines for the design, search, and reporting of studies. The methodological quality was analysed via the PEDro and the Newcastle-Ottawa scales in the case of randomised clinical trials and non-randomised studies, respectively, while the quality of evidence was determined using the SIGN grading system for evidence-based guidelines. Descriptive and experimental studies published in English, Spanish, or Portuguese that evaluated the contractile capability of the PFMs in healthy women or women without a previous diagnosis of PFD were included. Seven articles that included a total of 2507 women were found, three of which were clinical trials with PEDro scores between 5 and 9 points out of 10 and four of which were non-randomised studies with NOS scores between 6 and 8 points out of 10. The outcomes were measured through vaginal palpation, visual observation, questionnaires for PFD symptoms, and self-perception reports. This review discriminated between two types of intervention, educational programmes and verbal instructions, and evaluated the changes observed in PFM strength and knowledgeability and the symptoms of PFDs. The findings showed that educational interventions and verbal instructions improve the proprioception of PFMs in women of all ages that are healthy or without a previous diagnosis of PFDs as well as their knowledge about the pelvic floor, healthy lifestyle habits, and symptoms that are potentially indicative of PFDs. Further high-quality randomised clinical trials are warranted to draw definitive conclusions about the effectiveness of educational interventions to improve the proprioception of the PFMs in women considered healthy or with mild symptoms that may be indicative of PFDs.

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)0.006
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0100.009
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.051
GPT teacher head0.392
Teacher spread0.341 · 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 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

Citations19
Published2022
Admission routes1
Has abstractyes

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