Percutaneous nephrolithotomy versus open surgery for treatment of staghorn stones in pediatric patients
Bibliographic record
Abstract
INTRODUCTION: We compare percutaneous nephrolithotomy (PCNL) and open surgery in the treatment of staghorn stones in children. METHODS: We retrospectively reviewed the electronic records of children who underwent treatment for staghorn stones between September 2000 and August 2013. They were divided between Group 1 (patients who underwent PCNL) and Group 2 (patients who underwent open surgery). We compared stone-free and complications rates, need for multiple procedures, and hospital stay. RESULTS: The study included 41 patients (35 boys and 6 girls), with mean age 7.4 ± 3.1 years (range: 2-15). Of these 41 patients, 26 had unilateral renal stone and 15 had bilateral renal stones. The total number of treated renal units was 56: 28 underwent PCNL and 28 underwent open surgery. The complication rate was comparable for both groups (32% for open surgery vs. 28.6%, p = 0.771). Multiple procedures were more needed in PCNL group (60.7% vs. 32% in open surgery, p = 0.032). The stone-free rate was 71.4% after PCNL and 78.6% after open surgery (p = 0.537). A significant difference was observed in shorter hospital stay after PCNL (5 vs. 8.8 days, p < 0.001). Our study's limitations include its retrospective design and relatively small sample size. CONCLUSIONS: For the treatment of staghorn stones in children, PCNL was comparable to open surgery in complication and stone-free rates. PCNL had the advantage of a shorter hospital stay and open surgery showed a decreased need for multiple procedures.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".