Composite Lymphoma: Opposite Ends of Spectrum Meet
Bibliographic record
Abstract
An 18-year-old African-American female presented with an episode of syncope. Initial investigations revealed large lung mass with invasion into right atrium along with lesions in kidneys and liver. Patient also developed superior vena cava syndrome due to lung mass. Biopsy of lung mass revealed diagnosis of composite lymphoma with involvement by primary mediastinal B-cell lymphoma (PMBCL) and classical Hodgkin lymphoma. Patient was started on dose-adjusted etoposide, prednisone, vincristine, cyclophosphamide, doxorubicin and rituximab (EPOCH-R) with complete response to treatment. This case represents an extremely rare type of aggressive lymphoma and can guide clinicians in managing such cases since there are no standard guidelines for treatment. To the best of our knowledge, this is the first reported case of composite lymphoma of PMBCL and classical Hodgkin lymphoma successfully treated with dose-adjusted EPOCH-R regimen.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".