Appropriateness of oral drugs for long-term treatment of lower urinary tract symptoms in older persons: results of a systematic literature review and international consensus validation process (LUTS-FORTA 2014)
Why this work is in the frame
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Bibliographic record
Abstract
AIM: we aimed to systematically review drugs to treat lower urinary tract symptoms (LUTS) regularly used in older persons to classify appropriate and inappropriate drugs based on efficacy, safety and tolerability by using the Fit fOR The Aged (FORTA) classification. METHODS: to evaluate the efficacy, safety and tolerability of drugs used for treatment of LUTS in older persons, a systematic review was performed. Papers on clinical trials and summaries of individual product characteristics were analysed regarding efficacy and safety in older persons (≥65 years). The most frequently used drugs were selected based on current prescription data. An interdisciplinary international expert panel assessed the drugs in a Delphi process. RESULTS: for the 16 drugs included here, a total of 896 citations were identified; of those, only 25 reported clinical trials with explicit data on, or solely performed in older people, underlining the lack of evidence in older people for drug treatment of LUTS. No drug was rated at the FORTA-A-level (indispensable). Only three were assigned to FORTA B (beneficial): dutasteride, fesoterodine and finasteride. The majority was rated FORTA C (questionable): darifenacin, mirabegron, extended release oxybutynin, silodosin, solifenacin, tadalafil, tamsulosin, tolterodine and trospium. FORTA D (avoid) was assigned to alfuzosin, doxazosin, immediate release oxybutynin, propiverine and terazosin. CONCLUSIONS: dutasteride, fesoterodine and finasteride were classified as beneficial in older persons or frail elderly people (FORTA B). For most drugs, in particular those from the group of α-blockers and antimuscarinics, use in this group seems questionable (FORTA C) or should be avoided (FORTA D).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 it