Laparoscopic dismembered pyeloplasty by a retroperitoneal approach in children
Bibliographic record
Abstract
OBJECTIVES: To report our experience with dismembered laparoscopic pyeloplasty by a retroperitoneal approach in children with pelvi-ureteric junction (PUJ) obstruction. PATIENTS AND METHODS: Between 1999 and 2002, retroperitoneal laparoscopic dismembered pyeloplasty was attempted in 21 children (one bilateral; mean age 8 years, range 1.7-17). In a flank position with four ports (one of 5 or 10 mm and three of 3 mm), the PUJ was resected and the anastomosis made using 6/0 absorbable sutures. Any redundant renal pelvis was reduced when needed. A JJ stent was inserted in all patients. RESULTS: The procedure could not be completed by laparoscopy in four patients, the main reason being difficulty in completing the anastomosis; in the other 18 patients the procedure was successful. An aberrant crossing vessel was found in nine patients and dismembered pyeloplasty enabled ureteric transposition in all, with no conversion. The mean (range) operative duration was 228 (170-300) min and the mean hospital stay 2.5 (2-4) days. In three patients the JJ stents were not in the bladder at the time of removal by cystoscopy, and ureteroscopy was used to retrieve them. All children returned to full activities within 7 days of surgery. The mean (range) follow-up was 12.7 (2-36) months, with six children followed for> 2 years; all were asymptomatic, with imaging confirming improved hydronephrosis. CONCLUSIONS: These mid-term results confirm that retroperitoneal laparoscopic dismembered pyeloplasty is a safe and feasible approach in children. Although the technique is very demanding it has the advantage of duplicating the principles of the open approach. The long operative duration and high conversion rate might be reduced with experience. Before expanding this approach to younger children, refinements in the anastomotic technique are needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".