Closing the survival gap: Implementation of medulloblastoma protocols in a low‐income country through a twinning program
Bibliographic record
Abstract
Successful twinning initiatives have been reported in childhood leukemia. Pediatric neuro-oncology requires a complex multidisciplinary approach and the feasibility of similar twinning programs is unknown. Twinning between King Hussein Cancer Center in Amman and the Hospital for Sick Children in Toronto started with e-mail communications, and subsequently included monthly videoconferences and exchanges between institutions. The outcome of 35 newly diagnosed medulloblastoma patients (22 high-risk and 13 average-risk) treated during this period is reported. The 3-year overall survival for average risk and high-risk patients was 100 and 81%, respectively. This experience suggests that twinning may facilitate the implementation of multidisciplinary neuro-oncology programs in low-income countries. Videoconferencing allows interactive exchanges with a significant learning impact.
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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 | 0.001 | 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) | 0.000 | 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".