O007 Pancreas and islet transplantation in the United Kingdom during the COVID-19 era
Bibliographic record
Abstract
Abstract Introduction WHO declared a pandemic of COVID-19 in March 2020. This study analyses the impact of COVID-19 on beta-cell replacement therapy in the UK. Methods Pancreas and islet donation and transplant activity in the period March 2020/2021 was compared with the same period the previous year. Results 2,180 patients had a functioning graft during March 2020/2021. 5.8%(n=126) tested positive for COVID-19 and two died (1%). In this period there was a 43% reduction in solid organ donors n=1,615, compared with the previous year, n=2,840. Of the 625 solid organ donors with a pancreas offered, 32% had the pancreas retrieved compared with 51% the previous period. 97 whole pancreas and islet transplants were performed in the UK down 54% from the prior period. Of the 84 pancreas transplant recipients; four tested positive for COVID-19 but none died, and two grafts failed within the first week from vascular thrombosis (neither were COVID-19 positive). Of the 13 SIK and islet alone transplant recipients, two tested positive for COVID-19 but neither died. Of these SIK transplants, one is known to have failed within a month and this is equivalent to that seen in the previous time period. To our knowledge, no patient receiving beta cell replacement therapy died of COVID during the first year of the pandemic despite immunosuppression. Conclusion In the UK, pancreas, and islet transplantation have continued during the pandemic at a lower rate. Outcomes following transplantation within the COVID era are, so far, similar to those in the period prior. Take-home message Outcomes following transplantation within the COVID era are, so far, similar to those in the period prior.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".