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Record W7052253749

Relapsed Hodgkin lymphoma in adolescents: focus on current high-dose chemotherapy and autologous stem cell transplant

2014· review· en· W7052253749 on OpenAlexaboutno aff

Bibliographic record

VenueDove Medical Press (Taylor and Francis Group) · 2014
Typereview
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
Fundersnot available
KeywordsLymphomaChemotherapyDiseaseHodgkin lymphomaAutologous stem-cell transplantationStage (stratigraphy)CancerTransplantation
DOInot available

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.229
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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