A Single-center, Real-world Experience of Chronic GVHD Treatment Using Ibrutinib, Imatinib, and Ruxolitinib and its Treatment Outcomes
Bibliographic record
Abstract
BACKGROUND: Chronic graft-versus-host disease (cGVHD) is a common cause of morbidity and mortality following allogeneic hematopoietic stem cell transplantation. Tyrosine kinase inhibitors (TKIs), including ruxolitinib, imatinib, and ibrutinib, have shown promising efficacy in cGVHD treatment. METHOD: A total of 43 patients who developed cGVHD and received at least one line of TKI therapy for cGVHD treatment were evaluated retrospectively. The overall response, clinical benefit (CB), corticosteroid dose reduction, failure-free survival (FFS), and overall survival (OS) were assessed. RESULT: A total of 62 lines of TKI therapy were evaluated, including ruxolitinib (n = 18), ibrutinib (n = 13), and imatinib (n = 31). With a 12-month median follow-up duration, 19/58 (32.8%), 20/41 (48.7%), and 17/29 (58.6%) responded to TKI therapy at 3, 6, and 12 months, respectively. The CB was observed in 80% of patients over time, allowing prednisone dose reduction in all 3 TKIs. The FFS rate at 12 months was higher in the imatinib (71%) and ruxolitinib groups (67%) than in the ibrutinib group (46%), while the OS rate at 12 months was similar among the three groups at 96%-100% in patients. In the sclerotic GVHD patient subgroup (n = 39), the overall response rate gradually increased over time. Ruxolitinib appeared to be as effective as imatinib and gradually improved the photographic range of motion score in sclerotic GVHD patients. CONCLUSION: TKI drugs ruxolitinib, imatinib, and Ibrutinib are effective and feasible for cGVHD treatment. Ruxolitinib is as effective as imatinib for sclerotic GVHD.
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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".