Pelvic-Floor Properties in Women Reporting Urinary Incontinence After Surgery and Radiotherapy for Endometrial Cancer
Bibliographic record
Abstract
Background: Endometrial cancer is the fourth most prevalent cancer in Canadian women. Radiotherapy (RT) is frequently recommended as an adjuvant treatment. There is a high prevalence (>80%) of urinary incontinence (UI) after RT. It is plausible that UI is associated, at least in part, with alterations of the pelvic-floor muscles (PFM). Objective: The aim of this exploratory study was to compare the PFM functional properties of women reporting UI after hysterectomy and RT for endometrial cancer with those of women with a history of hysterectomy but without UI. Design: A descriptive cross-sectional study was conducted. Eleven women were recruited for the affected group, and 18 were recruited for the comparison group. Methods: Urogenital and bowel functions were assessed using International Consultation on Incontinence Questionnaires, and PFM properties were evaluated using a Montreal dynamometer. Nonparametric tests were used for comparison of personal characteristics, functional status, and muscle properties. A correspondence analysis detailed the association between UI severity and PFM properties. Results: Maximal opening of dynamometer branches, maximal vaginal length, PFM maximum force and rate of force development in a strength test, and number of rapid contractions during a speed test were reduced in the affected group. No significant difference was found for the endurance test. The severity of UI was found to correspond to the rate of force development and the number of rapid contractions in a speed test, endurance, age, and vaginal length. Limitations: The results are limited to the population studied. The small sample size limited the strength of the conclusions. Conclusions: Some evidence of alterations in PFM properties were found in women with UI after hysterectomy and RT for endometrial cancer. These alterations appeared to be associated with UI, suggesting a possible role for rehabilitation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".