Patients with primary brain tumors as organ donors: Case report and review of the literature
Bibliographic record
Abstract
Malignancy is considered a contra-indication to organ donation, with a few possible exceptions. We present the case of a child with fatal intracranial hemorrhage from a primary brain tumor (PBT) whose organs were denied for transplant after recovery. We review the literature of organ donors with PBTs in the context of the current organ shortage and discuss the implications for the practicing oncologist. Transmission of donor brain tumor to organ recipients has been documented but the incidence appears to be very low. Risk factors for tumor transmission include underlying donor tumor histology, history of craniotomy and/or shunt placement, use of systemic chemotherapy and radiation therapy, and duration of disease prior to donation. Ongoing data collection by national registries will provide more information on the potential risk to organ recipients. It may be appropriate to expand the donor pool to include donors with PBTs in certain situations. The transplantation team ultimately decides upon the use of organs from specific donors. Many families will appreciate the opportunity to donate specific tissues even if solid organ transplantation is prohibited.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".