Anticholinergic use in children: Persistence and patterns of therapy
Bibliographic record
Abstract
INTRODUCTION: Overactive bladder (OAB) symptoms are complex and generally require long-term therapy. Nevertheless, it has been demonstrated that persistence rates of antimuscarinic drug use are low in adults. Better understanding of the treatment patterns of children treated with antimuscarinics could help to improve drug management. Our objective was to evaluate persistence rates of patients under 20 years of age on antimuscarinic therapy over a four-year period. METHODS: Patients having received a first-ever antimuscarinic drug prescription between April 2007 and March 2008 were identified using IMS Brogan's Public and Private Drug Plans database. Canadian drug claims data from Private Drug Plans, Régie de l'Assurance Maladie du Québec, and Ontario Public Drug Plans were analyzed retrospectively. Patients were followed for four years to assess the prescribed drugs, the lines of treatment, and the duration of each treatment. RESULTS: Data were available for 374 patients. The most prescribed drug as a first-line therapy was oxybutynin (87.2%), followed by tolterodine LA (5.9%). Patients refilled their index prescriptions for an average of 429 days. Solifenacin had the highest mean duration of index therapy (765 days). The median number of antimuscarinics prescribed was one. At the end of the followup, 44 patients were still on therapy. Reasons for discontinuation of treatment were not available. CONCLUSIONS: Overall discontinuation rate of antimuscarinic therapy in children is comparable to what has been reported in adult patients with OAB. However, children seem to persist on the medication for a longer duration before adherence rates start declining. The low rate of persistence highlights the need to identify the reasons for discontinuation of therapy in children in order to obtain better persistence rates.
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 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".