Medical and surgical interventions for the treatment of urinary stones in children: A Cochrane Review
Bibliographic record
Abstract
INTRODUCTION: We performed systematic review to assess the effects of different medical and surgical management of urinary stones in children. METHODS: We performed a comprehensive search using multiple databases (MEDLINE, EMBASE, Cochrane Register of Controlled Trials), trials registries (World Health Organization International Clinical Trials Registry Platform Search Portal and ClinicalTrials.gov), and abstract proceedings of major urological and pediatric urology meetings, with no restrictions on the language of publication or publication status, up until December 2017. We included all randomized controlled trials (RCTs) and quasi-RCTs. Two review authors independently assessed the eligibility of studies for inclusion, extracted data, and assessed risk of bias in accordance with the Cochrane "Risk of bias" tool. We performed statistical analyses using a random-effects model and assessed the quality of the evidence according to GRADE. RESULTS: We included 14 studies with a total of 978 randomized participants in our review, informing seven comparisons with shock wave lithotripsy, percutaneous nephrolithotripsy, ureterorenoscopy (regardless of the type of lithotripsy), open stone surgery, and medical expulsive therapy. There was very low quality of evidence in the most comparisons with regards to the effectiveness and adverse events for the treatment of pediatric upper renal tract stone disease. CONCLUSIONS: Based on mostly very low-quality evidence for most comparisons and outcomes, we are uncertain about the effect of nearly all medical and surgical interventions to treat stone disease in children. There is a critical need for better-quality trials assessing patient-important outcomes in children with stone disease to inform future guidelines on the management of this condition.
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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 | 0.009 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.012 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".