Pessary evaluation for genital prolapse treatment: From acceptance to successful fitting
Bibliographic record
Abstract
Abstract Aims To determine the percentage of women with symptomatic pelvic organ prolapse who opted for pessary and had a successful pessary fitting trial; to identify the most commonly used size of pessary for stage of prolapse; and to identify risk factors associated with unsuccessful fitting. Methods We conducted a prospective cohort study of women with symptoms of genital prolapse referred to a public hospital tertiary care clinic (2013‐2019). We used ring and ring with support pessaries for fittings. We collected patient demographics, pelvic organ prolapse quantification, size of pessary used and evaluated factors associated with pessary fittings. We defined unsuccessful fit as failure to continue pessary use at 4 weeks post fitting trial. We used Mann‐Whitney and χ 2 tests to compare variables between groups of successfully and unsuccessfully fitted. Using logistic regression, we built a prediction model for unsuccessful fit. Results All 170 women with symptomatic prolapse referred to our clinic accepted to undergo a pessary fitting. More than 70% (n = 124/72.9%) were successfully at 4 weeks. We used an average of 1.7 pessaries (range: 1‐6) per patient to identify the best‐fitting pessary and #2, 5, 3, 7, and 4 were the sizes commonly used (78.2%). Women with body mass index ≥30 kg/m 2 (odds ratio [OR]: 4.74; 95% confidence interval [CI], 1.98‐11.32; P < .001), total vaginal length <7.5 cm (OR: 3.78; 95% CI, 1.98‐11.32; P < .001), and sexually active women (OR: 2.26; 95% CI, 1.04‐4.91; P = .035) were associated with increased unsuccessful fitting. Conclusion The vaginal pessary proved to be an excellent choice, with high acceptance and successful fitting rates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".