Advancing a comprehensive cancer care agenda for children and their families: <scp>I</scp> nstitute of <scp>M</scp> edicine <scp>W</scp> orkshop highlights and next steps
Bibliographic record
Abstract
This article highlights key findings from the "Comprehensive Cancer Care for Children and Their Families" March 2015 joint workshop by the Institute of Medicine (IOM) and the American Cancer Society. This initiative convened more than 100 family members, clinician investigators, advocates, and members of the public to discuss emerging evidence and care models and to determine the next steps for optimizing quality-of-life outcomes and well-being for children and families during pediatric cancer treatment, after treatment completion, and across the life spectrum. Participants affirmed the triple aim of pediatric oncology that strives for every child with cancer to be cured; provides high-quality palliative and psychosocial supportive, restorative, and rehabilitative care to children and families throughout the illness course and survivorship; and assures receipt of high-quality end-of-life care for patients with advancing disease. Workshop outcomes emphasized the need for new pediatric cancer drug development and identified critical opportunities to prioritize palliative care and psychosocial support as an integral part of pediatric cancer research and treatment, including the necessity for adequately resourcing these supportive services to minimize suffering and distress, effectively address quality-of-life needs for children and families at all stages of illness, and mitigate the long-term health risks associated with childhood cancer and its treatment. Next steps include dismantling existing silos and enhancing collaboration between clinical investigators, disease-directed specialists, and supportive care services; expanding the use of patient-reported and parent-reported outcomes; effectively integrating palliative and psychosocial care; and clinical communication skills development. CA Cancer J Clin 2016;66:398-407. © 2016 American Cancer Society.
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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 | 0.014 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.011 | 0.021 |
| Insufficient payload (model declined to judge) | 0.016 | 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".