Laparoscopic Nephrectomy for Infected, Obstructed and Non-functioning Kidneys
Bibliographic record
Abstract
Since laparoscopic nephrectomy was introduced by Clayman et al, it has been doubted whether it should be employed in patients with extensive perirenal fibrosis. In this series, 20 consecutive patients underwent laparoscopic nephrectomy for obstructed, infected, non-functioning kidneys. Preoperative assessment included urine cultures, abdominal sonography, intravenous pyelography, computerized tomography and a renal scan. Laparoscopic nephrectomies were performed using either the transperitoneal or the retroperitoneal approach.Patients' mean age was 52 years (range 20-77, SD = 15.2). Three patients underwent previous open surgery on the same kidney and 15 had percutaneous nephrostomies. The etiology of obstruction was stone disease in 15 cases, uretero-pelvic junction obstruction (3), iatrogenic ureteral injury (1), and infected multicystic kidney (1). Mean operative time was 224 minutes (range 140-325, SD = 57). Conversion to open surgery was necessary in one patient due to splenic injury. Mean hospital stay was 3 days (range 2-6, SD = 1). Laparoscopic nephrectomy was feasible in cases of severe perirenal fibrosis, with an acceptable rate of complications, and may be considered in patients with obstructed, infected, and non-functioning kidneys.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".