Changing donor characteristics in liver transplantation over the last 10 years in canada
Bibliographic record
Abstract
Liver donor characteristics have a significant impact on graft quality and, in turn, recipient outcomes. In this study, we examined deceased liver donor characteristics and donor risk index (DRI) trends in Canada over the past decade. Data were extracted from the Canadian Organ Replacement Register and Transplant Québec for the decade (2000-2010). Trends in the DRI and donor characteristics, including age, race, height, cause of death (COD), location, cold ischemia time (CIT), and type of donation, were examined. In all, 3746 transplants using deceased liver donors were analyzed. The age of donors, the proportion of black donors, the proportion of cerebrovascular accidents as the COD, and the proportion of donation after cardiac death (DCD) donors all increased over the aforementioned time period. The proportion of transplants classified geographically as local increased, and the CIT for donor livers decreased. Although many of the parameters adversely affecting the DRI increased over the study period, the DRI showed only a slightly significant trend of increasing. The increase in these parameters was counteracted by a decrease in modifiable risk factors such as the CIT and distance traveled. The 5-year recipient survival rate increased from 71.43% (1999-2001) to 75.50% (2005-2007); however, this trend was not significant. Although there was an increase in the use of older and DCD organs, recipient survival was not compromised. In conclusion, demographic trends for liver donors in Canada suggest an increase in the use of higher risk donors. However, the overall graft quality has been not compromised because of a decreasing trend for the CIT and an increase in local transplants. Better coordination and allocation practices in liver transplantation across Canada have minimized the risk of graft failure and resulted in good recipient outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".