MétaCan
Menu
Back to cohort
Record W4400966322 · doi:10.1111/bju.16474

Conservative interventions for female exercise‐induced urinary incontinence: a systematic review

2024· review· en· W4400966322 on OpenAlexaff
Marina Petter Rodrigues, Marie‐Ève Bérubé, Marylène Charette, Linda McLean

Bibliographic record

VenueBritish Journal of Urology · 2024
Typereview
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicinePhysical therapyPsychological interventionUrinary incontinenceMEDLINEBiofeedbackPopulationRandomized controlled trialModalitiesCINAHLSurgeryNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: To systematically review and synthesise what is known about the effectiveness of non-pharmaceutical conservative interventions for the management of urinary incontinence (UI) experienced by women during physical exercise. METHODS: A systematic search was performed in the following databases in September 2023: the Medical Literature Analysis and Retrieval System Online (MEDLINE), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Excerpta Medica dataBASE (EMBASE), Scientific Electronic Library Online (SciELO), Latin American and Caribbean Health Sciences Literature (LILACS), and Physiotherapy Evidence Database (PEDro). Studies were deemed eligible if population consisted of females who reported symptoms of UI while participating in physical exercise, and the interventions involved any non-pharmaceutical conservative treatment to manage symptoms during exercise. The primary outcome was severity of UI signs and symptoms. The protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO identifier: CRD42022379138). RESULTS: Of the 3429 abstracts screened, 19 studies were retained. Pelvic floor muscle training (PFMT) and intravaginal devices were the most commonly investigated modalities. Only two randomised controlled trials (RCTs), both among volleyball players, compared PFMT with no PFM exercise, showing a reduction in pad weight gain after the intervention in the experimental groups only. PFMT with and without biofeedback randomised among soldiers demonstrated a reduction in the frequency of urine leakage episodes in both groups, while supervised and unsupervised PFMT randomised among athletes from different sports showed pad weight gain reduction in the supervised group only. Seven single-arm studies suggested that PFMT alone or combined with other modalities may reduce UI severity in active women based on questionnaires, bladder diaries, and self-reported symptoms. A single-arm and a crossover study found pessary use beneficial in reducing urine leakage based on questionnaires and pad weight gain, respectively. When comparing pessary, tampon, and no intervention, two repeated-measures studies found tampons may reduce leakage more than pessaries in CrossFit exercisers and women performing aerobic exercises. A vaginal sponge also reduced pad weight gain during aerobic exercises. Other modalities (i.e., an intraurethral device, photobiomodulation, and combined therapies) were investigated using case series or single case studies. While all interventions showed some evidence of effectiveness, the results must be interpreted with caution due to methodological limitations and high risk of bias. In particular, despite a high reliance on pad tests as a primary outcome, we identified inconsistencies in how pad tests were administered and interpreted. CONCLUSION: Only the effectiveness of PFMT to reduce urine leakage during exercise has been evaluated through RCTs, with some evidence of effectiveness. We identified a clear need for higher quality studies, with better reporting on the interventions, and more judicious use and interpretation of outcome measures.

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)0.008
metaresearch head score (Gemma)0.032
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 score0.011
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.032
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.006
Bibliometrics0.0110.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.001
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 head0.077
GPT teacher head0.390
Teacher spread0.313 · 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

Citations10
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueBritish Journal of UrologySame topicPelvic floor disorders treatmentsFrench-language works237,207