Salvage chemotherapy with rituximab DHAP for relapsed non-Hodgkin lymphoma: A phase II trial in the North Central Cancer Treatment Group
Bibliographic record
Abstract
The aim of this study was to learn the toxicity and efficacy of adding 4 doses of rituximab to a standard platinum-based salvage regimen for relapsed CD20+ B-cell non-Hodgkin lymphoma. Patients were treated with rituximab 375 mg/m(2) days 1,8,15, 22 (cycle 1 only); cisplatin 100 mg/m(2) over 24 h on day 3, cytosine arabinoside 2 g/m(2) IV every 12 h x two doses on day 4, dexamethasone 40 mg PO/IV days 3-6, and G-CSF days 5-14. The ORR was 82% (47/57) with 33% (19/57) complete remissions and 49% (28/57) partial remissions. The duration of response (DR) for the 47 responders was 10.5 months (95% CI: 5.3-16.8). The median time to progression (TTP) was 10.3 months (95% CI: 5.3-14.0), the median event-free survival (EFS) was 5.3 months (95% CI: 3.9-11.0), and the median overall survival was 30.5 months (95% CI: 17.8-60.6). We conclude that rituximab can be safely added to standard DHAP.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".