Intracranial Presentation of Systemic Hodgkin's Disease
Bibliographic record
Abstract
Intracranial involvement by Hodgkin's disease is rare. We report a patient with Hodgkin's disease who had intracranial disease at presentation. We also review the literature pertaining to intracranial Hodgkin's disease. Using the key words "Hodgkin's disease" and "central nervous system (CNS) disease", we searched the Pubmed and Cancerlit databases. References were systematically reviewed and data regarding the following variables was extracted: age, gender, signs and symptoms at presentation, histology of Hodgkin's disease, cerebrospinal fluid analysis, stage and treatment. Only 36 cases of intracranial Hodgkin's disease were identified in the literature. Intracranial Hodgkin's disease at presentation is even more uncommon with only 8 reported cases. Most cases of intracranial involvement by Hodgkin's disease occur at the time of relapse. The most common presenting feature of intracranial Hodgkin's disease is a cranial nerve palsy with brain parenchyma being the most common intracranial site of involvement. Mixed cellularity histology is the most frequent subtype of Hodgkin's disease among these patients and the median survival following intracranial presentation is 46 months. Treatment has varied extensively but includes whole brain radiation with or without combination chemotherapy. Our literature review suggests that the prognosis is not dismal with appropriate treatment.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".