[New results in allotransplantation of pancreatic islet cells].
Bibliographic record
Abstract
An up-to-date synthesis of pancreatic islet allotransplantation is included in this summary, with emphasis on new developments and clinical results of the field. Rationale for islet transplantation in type 1 diabetes mellitus, current patient selection criteria, clinical data, technical aspects of organ procurement, islet isolation and transplantation are highlighted. The current challenges are also presented and analysed. Significant advances in clinical islet transplantation have been achieved recently. New immunosuppressive strategies were introduced, there were considerable changes in the patient selection criteria. International collaborations were established in order to standardize islet isolation and transplantation procedures. The spectacular results, recently reported by the Edmonton-group, represent a major breakthrough of the field and the outcomes are comparable with the results of whole pancreas transplantation. Islet transplantation became one of the most promising fields of tolerance induction research. Although still considered experimental, within the frameworks of expanding international collaborations, pancreatic islet allotransplantation gains more and more recognition in the clinical practice. These elements give hope that diabetes might be in the near future treated by islet cell transplantation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.011 |
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".