Hodgkin's Lymphoma: Basing the Treatment on the Evidence
Bibliographic record
Abstract
This paper examines the evidence available to guide treatment decisions in three areas of Hodgkin's lymphoma management. In Section I Dr. Evert Noordijk describes evolving strategies for patients with early stage disease outlining the eras during which the focus has changed from initially accomplishing cure through refining and intensifying the treatment to one of maximizing cure rates and finally into a patient-oriented era in which the twin goals of maintaining high rates of cure and minimizing late toxicity are being achieved. In Section II Dr. Sandra Horning reviews the way in which the cooperative groups of North America and Europe have built upon initial observations from single centers to assemble the trials that have defined the treatment for advanced stage Hodgkin's lymphoma. Over a period of almost three decades, these well-constructed trials have defined a current standard of treatment, ABVD chemotherapy and are now investigating innovative approaches to move beyond this standard. She also indicates the need to appreciate diagnostic factors and the implications of prognostic factor models for the design and interpretation of clinical trials. In Section III Dr. Joseph Connors summarizes the evidence available to inform our choice of treatment for the uncommon but important entity of lymphocyte predominance Hodgkin's lymphoma. Once again, the guidance that can be derived from carefully conducted clinical investigation is used to address the issues surrounding choice of treatment, reasonable monitoring in long term follow-up and the clear-cut need to base diagnosis on objective immunohistochemical evidence.
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 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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".