Improving CD20 antibody therapy: obinutuzumab in lymphoproliferative disorders
Bibliographic record
Abstract
Soon after the anti-CD20 monoclonal antibody rituximab began to change the management of indolent and aggressive B cell lymphomas, development of alternative antibodies - including chemoimmunoconjugates - was undertaken. Among humanized and fully human CD20 antibodies, obinutuzumab has emerged as one antibody that seems to have lived up to the promise of improved efficacy based on in vitro and preclinical experiments. The data available, thus, far establish obinutuzumab's preferred role as the anti-CD20 antibody of choice in chronic lymphocytic leukemia and untreated follicular lymphoma, as well as an important addition to the treatment of rituximab-refractory indolent lymphomas. Additional trials in aggressive lymphoma are required to define the place of this new antibody in the management of patients with curable lymphoma subtypes. There are greater toxicities associated with this treatment, including increased infusion-related reactions and cytopenias, but these are manageable with standard supportive care measures.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".