Transformation to Aggressive Lymphoma in Nodular Lymphocyte-Predominant Hodgkin's Lymphoma
Bibliographic record
Abstract
PURPOSE Prior observations suggest a higher risk of transformation of nodular lymphocyte-predominant Hodgkin's lymphoma (NLPHL) to aggressive lymphoma, most commonly diffuse large B-cell lymphoma (DLBCL), than in classical Hodgkin's lymphoma. We evaluated the frequency of transformation in all patients diagnosed with NLPHL at the British Columbia Cancer Agency with long-term follow-up. PATIENTS AND METHODS The Lymphoid Cancer Database of the British Columbia Cancer Agency was searched to identify all patients diagnosed with NLPHL between 1965 and 2006. After pathologic review, 95 patients with NLPHL were confirmed. Results Patients with NLPHL had the following characteristics at diagnosis: median age of 37 years, 73% male, and 68% stage I or II disease. With a median follow-up time for living patients of 6.5 years (range, 2.5 to 33 years), 13 patients (14%) experienced transformation to aggressive lymphoma (median time to transformation, 8.1 years; range, 0.35 to 20.3 years). The actuarial risk of transformation to aggressive lymphoma was 7% and 30% at 10 and 20 years, respectively. Transformation was more likely in patients with initial splenic involvement (P = .006) at the time of diagnosis of NLPHL. The 10-year progression-free and overall survival rates in patients with transformed lymphoma were 52% and 62%, respectively. CONCLUSION The risk of transformation in patients with NLPHL to DLBCL is substantial and underappreciated. Because transformation can occur years after the primary diagnosis of NLPHL, long-term follow-up of these individuals is necessary to accurately estimate the risk of development of secondary DLBCL.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".