BeEAM conditioning regimen is a safe, efficacious and economical alternative to BEAM chemotherapy
Bibliographic record
Abstract
In many stem cell transplant centres, BCNU, etoposide, cytarabine and melphalan (BEAM) high-dose chemotherapy (HDCT) has been replaced by the more economic and available bendamustine, etoposide, cytarabine, melphalan (BeEAM) regimen. However, there is a paucity of information on the efficacy and safety of BeEAM HDCT. We describe our experience with BeEAM HDCT in terms of safety, efficacy and cost-savings. We compare overall and progression-free survival to a cohort of patients previously transplanted at our institution with the older BEAM regimen. We performed a retrospective chart review of 41 lymphoma patients undergoing BeEAM HDCT at the Royal University Hospital in Saskatoon, Saskatchewan between 2015 and 2019 to elicit regimen safety in the first 100 days post-transplant. Furthermore, we calculated overall and progression-free survival and constructed corresponding Kaplan-Meier curves, comparing the results to a historical cohort of BEAM patients (n = 86). Finally, we conducted an economic analysis using the financials available at our centre's pharmacy. With regards to BeEAM HDCT, we report a 100-day transplant-related mortality of 2.4%. Additionally, we report acceptable rates of typhlitis (27%), grade III-IV mucositis (4.9%) and grade III-IV nephrotoxicity (2.4%). In terms of overall and progression-free survival, we found no statistical difference between BeEAM and BEAM (p = 0.296; 0.762, respectively). Finally, our economic analysis revealed a net savings of $21,200 CAD per transplant when BeEAM is used in replacement of BEAM. The acceptable safety profile of BeEAM and its comparable efficacy to BEAM are encouraging for the perseverance of this cost-effective HDCT regimen.
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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) | 0.004 | 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".