Minimally-invasive catheterization of portal and mesenteric veins and abdominal aorta for quantitative determination of portal-drained viscera metabolism in pigs
Bibliographic record
Abstract
A laparoscopic catheterization of portal and ileal veins as well as abdominal aorta was performed in eight pigs under general anesthesia for quantitative determination of portal-drained viscera metabolism. Three polyurethane catheters were introduced into the target vessels through an abdominal wall cannula using the guide catheter and wire. Surgery duration, length of incisions, and postoperative outcomes were recorded. On days 7 and 30, portal vein blood flow rates were measured by paraaminohippuric acid method. On day 35, a second laparoscopy was performed to monitor the setup of intraabdominal catheters. The laparoscopic procedures were completed with a mean operative time of 82 ± 9 min, and mean total incision size was 4.5 ± 0.5 cm. No major intraoperative or postoperative complications were encountered. The second laparoscopy showed that position and fixation of catheters remain stable 35 d after the surgical preparation. Portal vein blood flow remained similar (P > 0.05) from 7 to 30 d after the laparoscopic surgical procedure. Retention of catheters in six pigs was more than 60 d, and the other two were 42 and 56 d. We conclude that this novel technique is an attractive alternative to traditional surgical catheterization procedures.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".