The evolution of treatment for pediatric advanced stage classic Hodgkin lymphoma – a narrative literature review
Bibliographic record
Abstract
Recent trials introducing novel immunotherapy into the treatment of advanced-stage pediatric classic Hodgkin lymphoma (cHL) suggest that cure rates will exceed 90%. Consequently, more than ever there is a need to minimize the toxicity of treatment and ensure that survivors experience a quality of life unimpaired by late effects. We performed a structured literature review to analyze frontline trials of advanced pediatric cHL, the impact of toxicity of treatments and on health-related quality of life. A total of 6 clinical trials were included, 4 randomized phase 3 trials, 1 non-randomized phase 3 trial and 1 phase 2 trial. One longitudinal study and 5 retrospective registry-based studies were included in the health-related quality of life review. The use of novel systemic treatments has significantly improved outcomes in advanced- pediatric cHL. However, new challenges arise to better understand quality of life outcomes among survivors, and to make new drugs more widely accessible.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".