Deceased donor renal transplantation and the disruptive effect of commercial transplants: the experience of Oman
Bibliographic record
Abstract
The Oman Renal Transplantation Program was established in 1988 as a joint venture between Sultan Qaboos University and the Ministry of Health. It began with both living related donor (LRD) and deceased donor (DD) transplants. Over the next nine years, while the LRD programme progressed relatively well, there were only thirteen DD transplants. Two of the DD kidneys were obtained from overseas via an active collaboration with the Euro-transplant organisation, and one DD kidney was obtained from Saudi Arabia within the Gulf Cooperative Council exchange programme. The rest of the DD kidneys were obtained in Oman. The Omani DD programme, although it was a pioneering effort in the Gulf region at the time, was not entirely sustainable. In this paper we focus on the challenges we encountered. Among the major challenges was the absence of resources to establish a dedicated DD programme and particularly the failure to develop a cadre of dedicated transplant coordinators.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".