Egyptian clinical practice guideline for deceased donor transplantation
Bibliographic record
Abstract
Organ shortage is a major challenge, depriving the majority of end-stage renal disease patients from enjoying a normal, healthy life. Egypt is on the verge of starting the deceased donor transplantation program; the Egyptian Society of Nephrology and Transplantation has led in writing the Egyptian guidelines for deceased donor transplantation by bringing together experts in nephrology transplant, surgery, neurology, ICU professionals, and clinical pathologists. These guidelines will promote consistency, safety, efficiency, equity, and ethical behavior. It will also serve as a valuable educational tool for trainees and professionals. This would allow the program to be practiced at its best and for the practice to succeed. The development of the guidelines came as an initiation from the Egyptian Society of Nephrology and Transplantation following the recommendation of the Ministry of Health. The society called the experts in transplantation, particularly those who have or previously trained in deceased donor transplantation. All the invitees are Egyptians currently working or have worked in Egypt to ensure an understanding of the economic and cultural challenges.
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.008 |
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".