Human Pancreas Preservation Prior to Islet Isolation
Bibliographic record
Abstract
Islet transplantation has become a feasible treatment option for patients with type 1 diabetes mellitus after improvements regarding less diabetogenic immunosuppression and preparation of sufficient quantities of highly viable islets for transplantation. While the current techniques of multiorgan harvesting and transportation of organs to distant hospitals often result in 12 h or more of cold storage time before transplantation, University of Wisconsin (UW) solution has proven to be effective in pancreas preservation, leading to successful clinical whole pancreas transplantation, and human pancreatic grafts can be preserved by UW solution for periods exceeding 24 h. In the case of clinical islet transplantation, however, prolonged cold ischemia in UW solution before islet isolation significantly reduced recovery of viable islets, and it is still difficult to recover sufficient numbers of islets from a single cadaveric donor pancreas to achieve insulin independence after transplantation. Therefore, preservation of the pancreas has been an important factor in the subsequent success of clinical islet transplantation. We review pancreas preservation prior to islet isolation and discuss a two-layer (UW solution/perfluorochemical) cold storage method of the human pancreas as a potential method for pancreas rescue.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".