Effectiveness of Continuous Infusion of Methylprednisolone for Prevention of Antithymocyte Globulin Infusion-Related Reactions in Preparative Regimens for Allogeneic Hematopoietic Cell Transplantation
Bibliographic record
Abstract
median time to neutrophil (12 v. 13 days) and platelet engraftment (16 v. 20 days) was similar between Flu/Bu and Flu/ Mel, respectively.Though there were no statistically significant differences in the incidence of toxicities by category between Flu/Bu and Flu/Mel (Figure 2), certain toxicities varied.Flu/ Mel patients had a trend toward higher incidence of bacteremia (15.2% v. 4.8% at 1 year, P = .08),sepsis (8% v. 0% at 1 year, P = .06),and anorexia (16.8% v. 4.8% at 1 year, P = .05),compared to Flu/Bu.The incidence of hepatic injury was similar for Flu/ Mel and Flu/Bu (32% v. 31% at 1 year, respectively, P = .82),and veno-occlusive disease was rare, occurring in 2 patients receiving Flu/Bu and 1 patient receiving Flu/Mel.Compared to Flu/Bu3, Flu/Bu4 significantly increased the incidence of mucositis (1 year 21.1% v. 56.2%, respectively, P = .02).There was a trend toward a lower incidence of aGVHD in patients receiving Flu/Bu compared to Flu/Mel (31% v. 48% at day 100, P = .06).There was no significant difference in NRM, OS, or RFS between Flu/Bu and Flu/Mel.However, OS was significantly lower for Flu/Bu3 compared to Flu/Bu4 (63.2% v. 93.8% at 1 year, P = .04).There was no difference in the incidence of aGVHD or RFS at 1 year between Flu/Bu3 and Flu/Bu4.Conclusions: Our results showed similar survival, incidence of aGVHD, and specific organ toxicities between more intense Flu/Bu regimens and Flu/Mel.Compared to Flu/Bu3, Flu/Bu4 improved OS without significantly increasing toxicity or aGVHD in our limited data set.These data suggest that using PK-dosed busulfan to target more intense Flu/Bu regimens can maximize disease control without increasing serious toxicities.Extending PK-dosing to melphalan may similarly achieve favorable outcomes while minimizing toxicity.
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".