Predicting Mirabegron Treatment Response in Patients with Overactive Bladder: A Post Hoc Analysis of Data from Clinical Trials
Bibliographic record
Abstract
BACKGROUND: Many patients discontinue overactive bladder (OAB) treatment because of unmet treatment expectations and/or tolerability issues. OBJECTIVE: To develop a model for predicting the individual treatment response to mirabegron using patient baseline characteristics. DESIGN, SETTING, AND PARTICIPANTS: This was a post hoc analysis of data from eight global phase 2/3, double-blind, randomized, placebo- or active-controlled trials of mirabegron in adult patients with OAB. INTERVENTION: Mirabegron 50 mg once-daily monotherapy for ≥12 wk. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Primary efficacy outcomes were the change in the mean number of micturitions and the number of incontinence episodes/24 h after 12 wk of treatment. Secondary efficacy outcomes were the change in the mean number of urgency episodes/24 h and the change in Symptom Bother score after 12 wk of treatment. Baseline demographic characteristics, OAB-related characteristics, and intrinsic and extrinsic factor variables were used to create multivariable linear regression models to predict the primary and secondary outcomes. RESULTS AND LIMITATIONS: , OAB symptoms for ≥12 mo, and incontinence at baseline were predictive of a smaller reduction. Mixed stress/urgency incontinence and more than five urgency episodes per day were predictive of greater reductions in incontinence episodes. Reductions in urgency episodes and Symptom Bother score were also predicted with mirabegron. Limitations include the exclusion of placebo groups from the analysis and the use of clinical trial rather than real-world data. CONCLUSIONS: Data from the predictive models provide new insights into the effects of modifiable factors (such as BMI) and nonmodifiable factors on treatment outcomes with mirabegron 50 mg. PATIENT SUMMARY: This study aimed to identify factors that could predict how patients with overactive bladder respond to mirabegron treatment to help doctors effectively treat this condition. Mirabegron treatment was associated with a lower number of urinations and occurrences of urinary incontinence per day. Factors associated with worse responses to the medication included being obese.
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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 | 0.092 | 0.081 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.011 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".