The use of onabotulinumtoxinA to treat idiopathic overactive bladder in elderly patients is in need of study
Bibliographic record
Abstract
BACKGROUND: Injecting onabotulinumtoxinA (BoTN-A) into the bladder has been established as an effective treatment of overactive bladder (OAB) and well-tolerated by patients. However, there evidence suggests the efficacy and safety of this treatment may decrease with age due to increased comorbidities and frailty. This study's objective was to establish empirical evidence regarding age-related differences in outcomes related to BoTN-A for the treatment of idiopathic OAB. METHODS: MEDLINE, EMBASE, and the Cochrane Central Registry for Controlled Trials were systematically searched. Results were restricted to randomized control trials of BoTN-A bladder injections for the treatment of idiopathic OAB. The resulting articles' abstracts were screened independently by two reviewers. Those passing the screen were reviewed in full. Articles were excluded if participants were <18 years old, diagnosed with neurogenic overactivity, or treated with both oral medications and BoTN-A; if the frequency and severity of OAB symptoms were not specified; or, if symptoms were not stratified by age. RESULTS: The initial search resulted in 1572 articles; 166 were reviewed in full. None met all inclusion/exclusion criteria. However, 21 studies met all criteria except age stratification. Authors were contacted to obtain raw data to perform an independent age-based analysis, but sufficient data was not received. CONCLUSION: While the initial systematic review did not generate the expected results, it did reveal that age-related outcomes of BoTN-A for the treatment of OAB are significantly under-studied. Given that the prevalence of OAB increases with age, this is an important knowledge gap. Our article explains the rationale for further study in this area.
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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".