The importance of evidence-based supportive care practice guidelines in childhood cancer—a plea for their development and implementation
Bibliographic record
Abstract
As cure rates in pediatric oncology have improved substantially over the last decades, supportive care has become increasingly important to reduce morbidity and mortality and improve quality of life in children with cancer. Currently, large variations exist in pediatric oncology supportive care practice, which might negatively influence care. This plea underlines the importance of development and implementation of trustworthy supportive care clinical practice guidelines, which we believe is the essential next step towards better supportive care practice, and thus a higher quality of care. To facilitate international development and endorsement, the International Pediatric Oncology Guidelines in Supportive Care Network has been established.
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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 | 0.313 | 0.563 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.018 | 0.015 |
| Open science | 0.008 | 0.010 |
| Research integrity | 0.015 | 0.029 |
| 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".