Effect of donor pneumoperitoneum on early allograft perfusion following renal transplantation in pediatric patients: An intraoperative Doppler ultrasound study
Bibliographic record
Abstract
Decreased perfusion and trauma during laparoscopic harvesting are proposed causative factors for DGF and rejection in children following renal transplantation with laparoscopic donor nephrectomy (LDN) allograft. We performed a retrospective review of 11 children who underwent LDN transplant and 11 preceding patients who underwent ODN transplant. Intraoperative DUS findings, creatinine values and clearance, time to nadir creatinine and AR episodes were compared. There were no significant differences in the BMI, vascular anatomy, side of nephrectomy, or warm ischemia time in the two groups. Mean follow-up duration was 11.4 and 30.4 months in LDN and ODN groups. DUS showed initial turbulent flow in five of the LDN and four of the ODN group with an average RI of 0.59 and 0.66 in the ODN and LDN groups, respectively (NS). Three patients in the ODN group had an abnormal RI compared to none in the LDN group (p = 0.034). The creatinine values, creatinine clearances (at 24 h, one, four wk and last follow-up) and AR episodes were similar in both groups. Pneumoperitoneum during LDN does not appear to have an adverse impact on early graft reperfusion.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".