Relapsed Hodgkin lymphoma in adolescents: focus on current high-dose chemotherapy and autologous stem cell transplant
Bibliographic record
Abstract
Gregory MT Guilcher,1 Douglas A Stewart21University of Calgary, Section of Hematology/Oncology/Transplant, Alberta Children’s Hospital, Calgary, Canada; 2University of Calgary, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, CanadaAbstract: Hodgkin lymphoma is one of the most common cancers of adolescence and young adulthood. Most patients are cured of their disease, with very high cure rates in early stage disease and improving rates of cure even in those who present with advanced stage disease. Upfront therapy often involves chemotherapy and radiation therapy; with improving cure rates, acute and late effects of therapy are informing newer treatment protocols to avoid toxicities. Those children and adolescents with refractory or relapsed disease have lower rates of cure and generally warrant more intensive therapy. High-dose chemotherapy and autologous stem cell transplantation is often administered in such cases. This intensive intervention can be curative, but carries additional risks in the short and long term. This review includes a discussion of both transplant and non-transplant therapy for relapsed disease, commonly employed conditioning regimens, acute and late toxicities of therapy, as well as quality of life data. In addition, newer approaches to therapy for Hodgkin lymphoma are reviewed, with a focus on how such novel therapies might relate to high-dose chemotherapeutic approaches.Keywords: Hodgkin lymphoma, adolescents, high-dose chemotherapy, autologous stem cell transplant
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".