Usefulness of adjunctive alpha1-adrenergic antagonists, after single extracorporeal shock wave lithotripsy session, in ureteral stone expulsion.
Bibliographic record
Abstract
INTRODUCTION: We evaluate the efficiency of α-adrenergic antagonists on stone clearance after extracorporeal shock wave lithotripsy (ESWL) in patients with lower ureteral stones. METHODS: A total of 356 patients with solitary lower ureteral stones who underwent single ESWL sessions were divided into 2 groups. Group 1 received our standard medical therapy, and Group 2 was treated with 0.4 mg/day tamsulosin for a maximum of 2 weeks. All patients were re-evaluated with plain film radiography and ultrasound each week during the treatment period. A computed tomography scan was systematically performed 3 months after ESWL. RESULTS: In total, 82 of the 170 patients in Group 1 (48.2%) and 144 of the 186 patients in Group 2 (77.4%) (p = 0.002) were stone-free. Among the patients with stones 10 to 15 mm in diameter, the stone-free rate was 38.4% in Group 1 and 77.1% in Group 2 (p = 0.003). Average stone expulsion time was 10.6 days and 8.4 days in Groups 1 and 2, respectively. Ureteral colic occurred in 40 patients (23.5%) in Group 1, but only in 10 patients (5.3%) in Group 2 (p = 0.043). The only side effect of tamsulosin was slight dizziness in 5 of the 186 patients in Group 2 (2.6%). CONCLUSION: Adjunctive therapy with α1-adrenergic antagonists after ESWL is more efficient than, and equally as safe as, lithotripsy alone to manage patients with lower ureteral stones. The adding of α-blockers is more reliable and helpful for stones with a large dimension, and can also decrease stone elimination time and episodes of ureteral colic.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| 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 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".