Pelvic Floor Morphometric Differences in Elderly Women with or without Urinary Incontinence
Bibliographic record
Abstract
Purpose: Urinary incontinence (UI) affects as many as 50% of women aged 60 years and older, but UI pathophysiology, specifically in elderly women, remains unclear. A better understanding of morphometric differences between continent and urinary incontinent elderly women is needed to improve the effectiveness of conservative treatment approaches. We hypothesized that morphometric differences in the pelvic floor muscles (PFM) among elderly women with and without UI could be observed using three- and four-dimensional (3D/4D) transperineal ultrasound (TPU) imaging. Method: A total of 40 elderly women (20 women with and 20 women without UI), with a mean age of 67.10 (SD 4.94) years, participated in the study. This was a case-control study in which TPU images were taken under three conditions: rest, maximal voluntary contraction (MVC), and Valsalva. Independent t-tests were conducted to compare measurements between the groups. Results: The study revealed statistically significant differences between the groups. At rest, the levator hiatal area and transverse diameter were bigger, and the PFM position was lower in the incontinent group. During MVC, all axial plane parameters were bigger in the incontinent group. In the sagittal plane, PFM position was again lower in the incontinent group. During Valsalva, the anorectal angle was wider in the women with incontinence. Conclusion: PFM morphometric differences were present and were observed using 3D/4D TPU imaging in elderly women with and without UI.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".