Prevention and treatment of rethrombosis after liver transplantation with an implantable pump of the portal vein
Bibliographic record
Abstract
Implantable pumps have been used to prevent deep vein thrombosis and other diseases. In this article, we report for the first time the prevention and treatment of rethrombosis of the portal vein in liver transplantation with an implantable pump of the portal vein. Four hundred four orthotopic liver transplantation cases were retrospectively reviewed and divided into 3 groups: portal vein thrombosis (PVT) patients with an implantable pump (n = 28), PVT patients without an implantable pump (n = 20), and patients without preexisting PVT (n = 356). The following parameters for the 3 groups of patients were calculated and compared: (1) preoperative parameters, including baseline data of the donors and recipients and times of graft ischemia; (2) intraoperative and postoperative parameters, including surgery time, red blood cell and plasma transfusion, platelet concentrate transfusion, bleeding and primary graft malfunction, and duration of the hospital and intensive care unit stays; and (3) follow-up information for the patency of the portal vein, rethrombosis rate, stenosis and reoperation (relaparotomy or retransplantation), in-hospital mortality, and actuarial 1-year survival rate. Among the 3 groups of recipients, no significant differences were detected in preoperative and intraoperative parameters. However, compared to PVT patients without an implantable pump, PVT patients with an implantable pump showed remarkable reductions in their postoperative hospital stay, rethrombosis, reoperation rate, and in-hospital mortality. An implantable pump of the portal vein in liver transplantation patients can prevent and facilitate the treatment of portal vein rethrombosis and is associated with a reduction of in-hospital mortality.
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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 | 0.000 | 0.001 |
| 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 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".