Prior rituximab correlates with less acute graft‐versus‐host disease and better survival in B‐cell lymphoma patients who received allogeneic peripheral blood stem cell transplantation
Bibliographic record
Abstract
Prior therapy with rituximab might attenuate disparate histocompatibility antigen presentation by B cells, thus decreased the risk of acute graft-versus-host disease (GVHD) and improved survival. We tested this hypothesis by comparing the outcomes of 435 B-cell lymphoma patients who received allogeneic transplantation from 1999 to 2004 in the Center for International Blood and Marrow Transplant Research database: 179 subjects who received rituximab within 6 months prior to transplantation (RTX cohort) and 256 subjects who did not receive RTX within 6 months prior to transplantation (No-RTX cohort). The RTX cohort had a significantly lower incidence of treatment-related mortality (TRM) [relative risk (RR) = 0.68; 95% confidence interval (CI), 0.47-1.0; P = 0.05], lower acute grade II-IV (RR = 0.72; 95% CI, 0.53-0.97; P = 0.03) and III-IV GVHD (RR = 0.55; 95% CI, 0.34-0.91; P = 0.02). There was no difference in the risk of chronic GVHD, disease progression or relapse. Progression-free survival (PFS) (RR = 0.68; 95% CI 0.50-0.92; P = 0.01) and overall survival (OS) (RR = 0.63; 95% CI, 0.46-0.86; P = 0.004) were significantly better in the RTX cohort. Prior RTX therapy correlated with less acute GVHD, similar chronic GVHD, less TRM, better PFS and OS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 teacher head, 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".