SUFU white paper on overactive bladder anticholinergic medications and dementia risk
Bibliographic record
Abstract
AIMS: Anticholinergic medications are widely used in the treatment of overactive bladder (OAB), as well as for short-term treatment of bladder symptoms following a variety of urologic surgeries. Mounting evidence points to an association between anticholinergic medications and the increased risk of incident dementia. The Society for Urodynamics, Female Pelvic Medicine, and Urogenital Reconstruction (SUFU) thus convened a committee of subject experts to contextualize the current understanding of the cognitive risks of anticholinergic medications in the urologic patient population and to provide practical clinical guidance on this subject. METHODS: Statements are based on an expert literature review and the committee's opinion. The document has been reviewed and approved by the SUFU board. RESULTS: Chronic use (>3 months) of OAB anticholinergic medications is likely associated with an increased risk of new-onset dementia. Short-term (<4 weeks) use of most OAB anticholinergic medications is likely safe in most individuals. Clinicians should consider potential cognitive risks in all patient populations when prescribing OAB anticholinergics for chronic use. Consideration should be given to progressing to advanced therapy (botulinum toxin or neuromodulation) earlier in the OAB treatment paradigm CONCLUSIONS: The current body of literature supports a likely small but significant increased risk of dementia with chronic exposure to OAB anticholinergic medications. Potential harms should be balanced against potential quality of life improvement with treatment.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".