STAGE I‐II NODULAR LYMPHOCYTE‐PREDOMINANT HODGKIN LYMPHOMA IN THE MODERN ERA: A MULTI‐INSTITUTIONAL EXPERIENCE OF ADULT PATIENTS BY ILROG
Bibliographic record
Abstract
Introduction: Nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) is an uncommon subtype of HL; the optimal management of stage I-II remains undefined. Methods: We conducted a multi-center retrospective study including patients (pts) ≥16 years (yr) with CD20+ stage I-II NLPHL diagnosed from 1995-2018. Management included observation after excision, single agent rituximab (R), chemotherapy (CT), radiation therapy (RT), and combined modality therapy (CMT=RT+systemic therapy). Primary outcomes were progression-free survival (PFS, by clinical, radiographic or pathologic progression) and overall survival (OS). Outcomes were measured with the Kaplan-Meier method with uni- and multivariable analyses (MVA) conducted with Cox regression. Conclusions: OS for pts with stage I-II NLPHL is excellent and did not differ based on treatment after adjusting for age and stage. There was no PFS benefit for pts with stage II NLPHL receiving CMT over RT alone although there was a suggestion that pts with IAP C-F may benefit from CMT. PFS was superior among pts who received RT as a component of initial therapy. Keywords: nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL).
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".