Renal histopathology features according to various warm ischemiatimes in porcine laparoscopic and open surgery model
Bibliographic record
Abstract
Background: Thirty minutes has been considered as the thresholdfor tolerable warm ischemic time (WIT). Recent reports demonstraterecovery of renal function after longer WIT. We assessed renalhistology according to different WIT in a 2-kidney porcine model.Methods: Twelve female pigs were randomized to an open orlaparoscopic group. Each pig was further randomized within eachgroup to clamping the left renal artery for 5, 15, 30, 45, 60 or180 minutes. Preclamping left renal biopsies were performed oneach pig. The contralateral kidney in each animal was used as anindividual control. On postoperative day 14, all animals underwentbilateral nephrectomies. Preclamping left renal biopsiesand all renal specimens were evaluated by a blinded veterinarypathologist.Results: One pig died in the open group after 180 minutes ofclamping. Histopathology did not show any significant changesbetween the two groups and across clamp times from 5 to 60minutes. After 180 minutes of laparoscopic clamping, there wasevidence of diffuse necrosis.Interpretation: Sixty minutes of ischemia did not show any permanentrenal damage in both groups. Further studies are needed toverify these findings in humans. A prolonged ischemic time withoutpermanent renal damage would be helpful in partial nephrectomy.Warm ischemic time of 180 minutes exceeded the renal ischemicburden based on histological features.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".