CAST Regimen for GvHD Prophylaxis: A CIBMTR Propensity Score-Matched Analysis
Bibliographic record
Abstract
Previously, we reported excellent results with the combination of post-transplant cyclophosphamide (PTCy), abatacept, and a short course of tacrolimus (CAST) for the prevention of graft-versus-host disease (GvHD) following peripheral blood haploidentical transplantation. To further substantiate these results, we performed a propensity score-matched analysis. Patients enrolled in the CAST trial were matched with patients from a contemporaneous cohort from the Center for International Blood and Marrow Transplant Research database who received PTCy, tacrolimus, and mycophenolate mofetil, using nearest neighbor propensity score matching. An excellent balance between pairs was achieved as measured by the density distribution and standardized differences of covariates (median 0.09). The rates of acute GvHD grades II to IV at day +120 and 1-year GvHD- and relapse-free survival were 16.7% and 66.7% in the CAST cohort versus 28.6% and 47.6% in the control group, respectively. This trend did not reach statistical significance (P = .14 and .07), possibly due to the small numbers of patients and events. On the other hand, CAST was associated with a statistically significant reduction in the incidence of relapse (9.5% versus 26.2%, P = .045) with improved disease-free survival (85.7% versus 61.9%, P = .01). Our data provides a strong impetus to examine CAST in a randomized clinical trial.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".