Impact of drainage technique on pediatric pyeloplasty: Comparative analysis of externalized uretero-pyelostomy versus double-J internal stents
Bibliographic record
Abstract
INTRODUCTION: Pediatric pyeloplasty with double J (DJ) stent drainage requires manipulation of the uretero-vesical junction (UVJ) and a second anesthetic for removal. Externalized uretero-pyelostomy (EUP) stents avoid these issues. We report outcomes of laparoscopic and open pyeloplasty with EUP compared to DJ stents in children. METHODS: We retrospectively reviewed 76 consecutive children who underwent pyeloplasty for ureteropelvic junction (UPJ) obstruction over a 1-year period by 5 pediatric urologists at a single institution. The exclusion criteria included patients with concomitant urological procedures, other urinary drainage strategies, "stentless" pyeloplasty or patients without follow-up data. Based on surgeon preference, 24 patients had a EUP stent and 38 had a DJ stent placed. RESULTS: The mean follow-up was 23.8 ± 10.9 months and 21.1 ± 11.1 months for the EUP and DJ stent groups, respectively (p = 0.32). The mean age was 40 ± 54 months and 80 ± 78 months for the EUP and DJ groups, respectively (p = 0.04). The EUP group had a greater proportion of open pyeloplasties (n = 17, 71%) versus the DJ group (n = 16, 42%; p = 0.04). There were no statistically significant differences in operative time, length of stay, and overall complication rate between groups. Complications were divided by timing of complication (intraoperative, before and after 3 months) and according to the Clavien Classification system. There were no statistically significant differences between these subgroups. The limitations of this study include small sample size, potential selection bias, and heterogeneity between both study groups. CONCLUSIONS: Pyeloplasty using EUP stents does not incur prolonged operative time, longer length of stay or higher complication rate when compared to DJ stents. Within the limitations of this study, EUP stents may be a safe alternative to DJ stents.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".