Frontline therapy with bendamustine rituximab (BR) and rituximab cyclophosphamide vincristine prednisone (RCVP) confers similar long-term outcomes in patients with treatment naïve Waldenström macroglobulinemia in a real-world setting: a population-based analysis
Bibliographic record
Abstract
We report on outcomes of 111 patients with treatment naïve Waldenström macroglobulinemia (TN WM) treated with frontline bendamustine–rituximab (BR) (n = 57) or rituximab–cyclophosphamide–vincristine–prednisone (RCVP) (n = 54). Median follow-up was 60.7 months (range 1.9–231.6). Median progression-free survival (PFS) was 60.5 months (95% CI 47.6–73.4) for BR and 79.0 months (95% CI 31.3–126.8) for RCVP (p = .96). Median overall survival (OS) was not reached for BR and 153.4 months (95% CI 114.5–192.4) for RCVP (p = .37). While overall and major response rates did not differ between treatment groups, BR had numerically higher rate of very good partial response or better response (51% vs. 37%, p = .30) and complete response (26% vs. 13%, p = .13). RCVP confers comparable outcomes to BR in a real-world population of TN WM patients and remains an effective regimen, particularly when tolerance or frailty is an issue, or in resource-limited settings.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".