Cost‐effectiveness of urethral bulking polydimethylsiloxane‐Urolastic® compared with mid‐urethral sling surgery for stress urinary incontinence: A two‐arm cohort study
Bibliographic record
Abstract
OBJECTIVE: To investigate the cost-effectiveness of urethral bulking polydimethylsiloxane-Urolastic® (PDMS-U) compared with mid-urethral sling (MUS) surgery for stress urinary incontinence (SUI) at 1-year follow-up. DESIGN: Prospective, two-arm cohort study with 2-year follow-up. SETTING: International multicentre. POPULATION: Women with moderate to severe SUI. MAIN OUTCOME MEASURES: Primary outcome was subjective cure (Patient Global Impression of Improvement). SECONDARY OUTCOMES: objective cure (negative cough stress test), Urogenital Distress Inventory (UDI-6), complications and re-interventions. Cost-effectiveness outcomes: total costs, quality-adjusted life year (QALY) using IIQ7-scores (Incontinence Impact Questionnaire) and EQ-5D-5L, incremental cost-effectiveness ratio (ICER) and monetary benefit (adjusted for baseline confounders). RESULTS: In all, 131 PDMS-U and 153 MUS surgery patients were treated. Subjective cure rates for MUS surgery and PDMS-U were, respectively: 101/112 (90%) versus 40/87 (46%), adjusted odds ratio (aOR; for age, body mass index [BMI], severity, type of urinary incontinence and previous SUI procedure) was 4.9. Objective cure rates for MUS surgery and PDMS-U were respectively: 98/109 (90%) versus 58/92 (63%), aOR 5.4. Average total costs for PDMS-U and MUS surgery were €3567 and €6688. ICER for MUS surgery cost €15 598 per IIQ QALY and €37 408 per EQ-5D-5L QALY. With a willingness to pay (WTP) of €25 000, MUS has a 84% chance of being cost-effective using IIQ, whereas PDMS-U has a 99% chance of being cost-effective using EQ-5D-5L. CONCLUSION: MUS surgery is more cost-effective in realising improved disease-specific quality of life (QoL), while PDMS-U is more cost-effective in realising improved generic QoL.
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 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".