Allogeneic Peripheral Blood Stem Cell Transplantation Significantly Increases Risk of Chronic Graft-versus-Host Disease of Lung Compared with Bone Marrow Transplantation
Bibliographic record
Abstract
The risk factors for lung chronic graft-versus-host disease (cGVHD) are not fully elucidated. We attempted to identify clinical risk factors for lung cGVHD after allogeneic hematopoietic cell transplantation (HCT). A total of 401 patients who underwent allogeneic HCT between 2000 and 2007 at Princess Margaret Hospital, Toronto, Canada, were evaluated for lung cGVHD serially starting on day 120 and then annually therafter. The stem cell source for HCT was peripheral blood stem cells (PBSCs) in 280 patients (69.8%) and bone marrow (BM) in 121 patients (30.2%). With a median follow-up of 36.8 months, 68 patients (17%) had a diagnosis of lung cGVHD, with a median time of onset of 11.4 months after HCT. Stem cell source was the sole risk factor identified in univariate analyses. The incidence of lung cGVHD was significantly higher in the patients receiving PBSCs (14.2% at 1 year and 22.7% at 2 years) compared with those receiving BM (6.8 at 1 year and 14.9% at 2 years; hazard ratio, 1.937; P = .02). Multivariate analyses also confirmed the use of PBSCs as an independent risk factor for lung cGVHD (hazard ratio, 2.408; 95% confidence interval, 1.289-4.496; P = .0058). The use of PBSCs is associated with an increased risk of lung cGVHD compared with the use of BM for allogeneic HCT.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".