Minimally invasive nephrectomy for inflammatory renal disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Once chronic inflammatory renal disease (IRD) develops, it creates a severe peri-fibrotic process, which makes it a relative contraindication for minimally invasive surgery (MIS). Our objective is to show that laparoscopic nephrectomy (LN) is a surgical option in IRD with fewer complications and better outcomes. METHODS: Retrospective review of patients who underwent a modified-surgical laparoscopic transperitoneal nephrectomy was performed. Data search included all operated patients between May 2013 and May 2018 that had a pathology result with any renal inflammatory condition (xanthogranulomatous pyelonephritis, chronic nephritis, and renal tuberculosis). We describe intra-operative variables such as operative time, blood loss, conversion rate, postoperative complications and length of hospital stay. RESULTS: There were 51 patients who underwent laparoscopic nephrectomy with a confirmatory pathology report for IRD. We identified four (8%) major complications; three of them required transfusion and one conversion to open surgery. The mean operative time was 233±108 min. Mean estimated blood loss was 206±242 mL excluding the conversion cases and 281±423 mL including them. The mean length of hospital stay was 3.0±2.0 days. CONCLUSION: Laparoscopic nephrectomy for IRD can safely be done. It is a reproducible technique with low risks and complication rates. Our experience supports that releasing the kidney first and leaving the hilum for the end is a safe approach when vascular structures are embedded into a single block of inflammatory and scar tissue.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it