STANDARDIZATION OF HUMAN ISLET ISOLATION FOR A MULTI-CENTER TRANSPLANT TRIAL
Bibliographic record
Abstract
P432 Clinical islet transplantation has made significant advances in the past years. Consistency and reproducibility of human islet isolations have limited progress in the field of clinical islet transplantation for patients with longstanding Type 1 diabetes. The Immune Tolerance Network international multi center trial using the Edmonton Protocol sought to standardize and validate islet isolation procedures amongst the nine participating groups. This was the first attempt to standardize the isolation procedure in an international multi-center trial for islet transplantation. The steps involved in standardizing and reproducing islet isolations involve developing a protocol, distribution of standard operating procedures, including those used to enumerate islet equivalents, on site inspection of facilities and isolation procedures and review of qualifying islet isolation data. To date, 192 human islet isolations have been attempted as part of this trial and 36 patients have received islets from at least one donor pancreas. The trial is ongoing and we anticipate all isolations to be completed in the next several months. Updated information regarding islet isolations, donor characteristics, clinical outcomes, and challenges encountered will be available for presentation upon completion of the trial. Data analysis comparing donor and islet isolation related factors between successful and non-successful islet isolation will be presented. To date, this multi-center trial has shown that the Edmonton Protocol is reproducible in several centres internationally and that this procedure is safe and effective in islet alone diabetic recipients.
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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 | 0.000 | 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 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".