Navigating the Complexity of Chronic Graft-vs-Host Disease: Canadian Insights into Real-World Treatment Sequencing
Bibliographic record
Abstract
BACKGROUND: Graft-vs-Host Disease (GVHD) is a donor immune-mediated syndrome occurring in patients who undergo an allogeneic hematopoietic cell transplant (HCT). Chronic GVHD (cGVHD) presents with complications of variable severity. Corticosteroids are standard first-line (1L) treatment, but the sequence after 1L is unclear with the availability of new treatments. This research aimed to understand real-world treatment sequencing for cGVHD. METHODS: This retrospective study investigated adult patients across 7 treatment sites in Canada who had received an allogeneic HCT >18 months prior to the study, experienced cGVHD, and received systemic treatment, including extracorporeal photopheresis (ECP). RESULTS: A total of 77 cases were reviewed retrospectively (median age = 51 (IQR 41-62), 51% female). 59 patients remained on active systemic treatment, and among this group, the most common treatments in use were corticosteroids (47%) and ruxolitinib (47%). One patient died, and 17 patients were on non-systemic treatment after complications resolved. The median lines of treatment (LOT) received was 2 (IQR 1-3), with 39% of patients having received >2 LOT. Among patients with lung complications (n = 24), 41% had received 3 or more LOT. Among patients with scleroderma (n = 22), 77% had received 3 or more LOT, 23% of which had received 6 or more unique treatments. CONCLUSIONS: The first treatment given to cGVHD patients was corticosteroids. Ruxolitinib was the most used second-line treatment. About 40% of cGVHD patients received >2 treatments, and scleroderma was associated with more LOT. There is a need for more effective cGVHD treatment options when early treatments fail to resolve complications.
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".