Reduced-Intensity Anthracycline-Free Chemoimmunotherapy in Elderly Patients With Newly Diagnosed or Relapsed Diffuse Large B-Cell Lymphoma
Bibliographic record
Abstract
Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma (NHL); it has a cure rate of approximately 50% with standard anthracycline-based chemoimmunotherapy. However, the clinical outcomes of elderly unfit/frail DLBCL patients remain suboptimal due to poor tolerance of anthracycline-containing regimens. Herein, we report a series of seven elderly unfit patients with DLBCL who were treated with a reduced-intensity anthracycline-free chemoimmunotherapy (rituximab, cyclophosphamide, vincristine, and prednisone) regimen combined with lenalidomide (R 2 -COP). Five patients received R 2 -COP as first-line therapy, and two patients were treated for relapsed DLBCL. Four patients with newly diagnosed DLBCL and two with relapsed disease achieved complete remission. The R 2 -COP regimen was well tolerated. Interim positron emission tomography (PET) scans in four patients after two to three cycles showed a complete metabolic response. At a median follow-up of 24 months, six patients remain in complete remission. R 2 -COP is an effective anthracycline-free regimen with encouraging clinical activity in elderly DLBCL patients who are unfit for standard anthracycline-containing regimens. J Hematol. 2023;12(4):176-186 doi: https://doi.org/10.14740/jh1144
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".