Bibliographic record
Abstract
INTRODUCTION: Overactive bladder (OAB) and urgency incontinence are common in older people. Nevertheless, there remains a paucity of prospectively collected data on the efficacy of commonly used drug treatments for the condition. Many trials have included older people, but have seldom reported results stratified by age or reported adverse events of particular relevance to older people in clinical practice. This has partially been rectified with the introduction of more recently introduced antimuscarinic agents, particularly fesoterodine, and the beta-3-agonist, mirabegron. Areas covered: This article discusses evidence from recent trials relevant to robust and medically complex older people including synthesis of evidence on the association of anticholinergic medications and impaired cognition with relevance to OAB medications Expert opinion: There are increasing data concerning pharmacological therapy in both robust and medically complex older adults. There is a need to explore the efficacy and tolerability of pharmacological treatment of OAB and UUI (urgency urinary incontinence) in specific subgroups and to produce confirmatory real-world data on efficacy and tolerability. Guidelines which address treatment of older people is currently sparse but, as time progresses and data improve, more specific guidance should become available.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".