Advancing Personalized Care for Neurogenic Bladder What Medical Management Should be First Line for Bladder Storage Symptoms in NLUTD: Pro Anticholinergic
Bibliographic record
Abstract
AIMS: To discuss the benefits and considerations of anticholinergic therapy as first-line treatment for bladder storage symptoms in patients with neurogenic lower urinary tract dysfunction (NLUTD), integrating evidence-based data and clinical experience. METHODS: A narrative review of international guideline recommendations, available clinical evidence, and professional experience was undertaken to evaluate the role of anticholinergics in managing disorders of bladder storage, such as neurogenic detrusor overactivity (NDO) and intrinsic sphincter dyssynergia (NISD), in patients with NLUTD. RESULTS: Evidence from published studies and guideline statements supports anticholinergics as effective agents for improving lower urinary tract symptoms (LUTS), detrusor overactivity (DO), and overall bladder function in patients with NLUTD. Their use has also been associated with prevention of secondary urinary complications. CONCLUSIONS: Anticholinergics remain recommended first-line therapy for bladder storage dysfunction in NLUTD. Clinical use should be guided by individual patient characteristics, balancing efficacy in symptom control with potential side effects and long-term safety considerations.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".