α‐Blockers for uncomplicated ureteric stones: a clinical practice guideline
Bibliographic record
Abstract
OBJECTIVE: To develop an evidence-based recommendation concerning the use of α-blockers for uncomplicated ureteric stones based on an up-to-date Cochrane review, as the role of medical expulsive therapy for uncomplicated ureteric stones remains controversial in the light of new contradictory trial evidence. METHODS: We applied the Rapid Recommendations approach to guideline development, which represents an innovative approach by an international collaborative network of clinicians, researchers, methodologists and patient representatives seeking to rapidly respond to new, potentially practice-changing evidence with recommendations developed according to standards for trustworthy guidelines. RESULTS: The panel suggests the use of α-blockers in addition to standard care over standard care alone in patients with uncomplicated ureteric stones (weak recommendation based on low-quality evidence). The panel judged that the net benefit of α-blockers was small and that there was considerable uncertainty about patients' values and preferences. This means that the panel expects that most patients would choose treatment with α-blockers but that a substantial proportion would not. This recommendation applies to both patients in whom the presence of ureteric stones is confirmed by imaging, as well as patients in whom the diagnosis is made based on clinical grounds only. CONCLUSION: The Rapid Recommendations panel suggests the use of α-blockers for patients with ureteric stones. Shared decision-making is emphasised in making the final choice between the treatment options.
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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 | 0.007 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.027 | 0.022 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".