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Hodgkin’s Lymphoma: Evolving Concepts with Implications for Practice

2004· review· en· W2165963235 on OpenAlexaff
Ralph M. Meyer, Richard F. Ambinder, Sigrid Stroobants

Bibliographic record

VenueHematology · 2004
Typereview
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsHamilton Health SciencesJuravinski Cancer Centre
Fundersnot available
KeywordsLymphomaMedicinePositron emission tomographyCancerDiseaseMinimal residual diseaseCarcinogenesisPathologyImmunologyLeukemiaNuclear medicineInternal medicine

Abstract

fetched live from OpenAlex

Hodgkin's lymphoma is a unique neoplasm of B lymphocytes. Recent data provide new understandings of the pathogenesis and options for staging and therapy of the disease. Three specific topics are addressed in this chapter. In Section I, Dr. Richard Ambinder reviews implications of the relationship of Epstein-Barr virus (EBV) and Hodgkin's lymphoma. This relation includes varying geographic epidemiologic associations, including varying associations with the clinical syndrome of infectious mononucleosis. There are plausible mechanisms, including processes initiated by viral proteins, by which EBV might lead to tumorigenesis. These mechanisms include promotion of genetic instability and alteration of normal processes of apoptosis. In addition to an epidemiologic association and potential role in pathogenesis, viral antigens may pose theoretical targets for anti-cancer therapies, including vaccination. In Section II, Dr. Sigrid Stroobants describes the potential role of positron emission tomographic (PET) scanning. By assessing differences in the metabolic activities of cancer cells, PET scanning may be superior to computerized tomographic scanning, which is limited to showing structural anatomical abnormalities. In patients with Hodgkin's and non-Hodgkin's lymphoma, PET scanning has been tested as an initial staging tool, to assess the rate of therapeutic response from a prognostic perspective, and to differentiate residual tumor from fibrotic masses in patients who have completed therapy. Particularly in assessing the nature of a residual mass seen with other post-therapeutic imaging modalities, PET scanning may provide unique information; very high negative predictive values have been reported. However, before this technology can be recommended for incorporation into standard management, properly conducted prospective trials are required to better evaluate the clinical utility of PET with respect to eventual patient outcomes. In Section III, Dr. Ralph Meyer reviews current data regarding the management of patients with limited-stage Hodgkin's lymphoma. Over the past decade, standard treatment has evolved to consist of combined-modality therapy that includes an abbreviated course of chemotherapy and involved-field radiation. As this therapy continues to include radiation therapy, patients will remain at risk of long-term toxicities that include the development of second cancers and cardiovascular events. These "late-effects" now account for more deaths than those attributed to progressive Hodgkin's lymphoma. Comparative data testing the role of chemotherapy alone are now available and demonstrate that omission of radiation therapy results in small but statistically significant reduction in disease control, but no detectable differences in overall survival. Further follow-up will clarify whether chemotherapy alone is the preferred treatment option; at present patients should be informed of the trade-offs involved in choosing between this option and combined modality therapy.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.021
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.004
Science and technology studies0.0020.013
Scholarly communication0.0070.015
Open science0.0040.005
Research integrity0.0080.014
Insufficient payload (model declined to judge)0.0040.003

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 head0.056
GPT teacher head0.418
Teacher spread0.362 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations51
Published2004
Admission routes1
Has abstractyes

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