Chimeric antigen receptor T-cell therapy for relapsed and refractory large B-cell lymphoma
Bibliographic record
Abstract
Comprising approximately 40% of diagnoses, lymphoma is the most common hematological malignancy in Canada, and 80% of lymphoma cases are non-Hodgkin lymphoma (NHL). Diffuse large B-cell lymphoma (DLBCL) accounts for approximately 30% of new NHL cases in Canada. First-line treatment with standard of care chemoimmunotherapy consisting of rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) results in a cure in approximately 60–70% of patients. Nevertheless, 30–40% of patients will experience relapse of their disease or are refractory to first-line therapy. Among those patients with relapsed or refractory DLBCL (R/R DLBCL), about 10–15% will exhibit primary refractory disease with either stable or progressive disease despite first-line therapy, while 20–25% will experience relapse after an initial response to treatment. Most relapses will occur within 2–3 years following initial treatment. For these patients, the standard approach is salvage chemotherapy followed by high-dose chemotherapy and autologous stem cell transplantation (ASCT) for those who meet the eligibility criteria and have chemosensitive disease.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".