Real‐world onabotulinumtoxinA treatment patterns in patients with overactive bladder
Bibliographic record
Abstract
PURPOSE: Utilization patterns of third-line onabotulinumtoxinA for overactive bladder (OAB) symptoms-including discontinuation and use of other therapeutic options during or after treatment-are not well understood. This retrospective analysis of administrative claims was designed to characterize the unmet need for OAB treatment. MATERIALS AND METHODS: A retrospective claims analysis of Optum's deidentified Clinformatics® Data Mart Database (2009-2021) was performed among patients with diagnosis of OAB newly starting onabotulinumtoxinA injection (2015-2017). Study measures were evaluated during an 18-month pretreatment baseline and over a minimum of 36 months of follow-up. These included number of injections, days between injections, other measures of onabotulinumtoxinA utilization, use of second-line pharmacologic treatments, use of device and surgical treatment options, and complications. RESULTS: Of 2505 eligible patients, 535 (21.4%; 66.8 ± 13.3 y, 87.3% females) continued onabotulinumtoxinA throughout the study. The remaining 1970 (78.6%; 71.4 ± 11.6 y, 79.1% females) were considered discontinuers. Of continuers, 57% received ≥5 treatments. Of discontinuers, 84% received ≤2 treatments. Anticholinergics and β3-adrenoceptor agonist medication use declined in all patients from baseline to follow-up; however, the absolute reduction in the proportion with any medication fill was similar across continuers versus discontinuers (21% vs. 18%, p < 0.0001). Sacral neuromodulation was initiated by 15/535 (3%) of continuers and 137/1970 (7%) of discontinuers (p < 0.0001). No patients initiated percutaneous tibial neuromodulation. CONCLUSIONS: Early discontinuation of onabotulinumtoxinA therapy for OAB is common and most discontinuers do not receive alternative treatments. Providers have the opportunity to educate OAB patients with un- or undertreated symptoms regarding alternative options.
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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".