Influence of Previous Inflammatory Bowel Disease on the Outcome of Allogeneic Hematopoietic Stem Cell Transplantation: A Matched-Pair Analysis
Bibliographic record
Abstract
The idiopathic inflammatory bowel diseases (IBDs) Crohn's disease and ulcerative colitis are associated with increased risk of hematologic malignancies. Allogeneic hematopoietic stem cell transplantation (HSCT) could be a curative strategy in this setting, but has been thought to be associated with increased nonrelapse mortality (NRM). We conducted a national French retrospective analysis of patients with IBD who underwent allogeneic HSCT for hematologic malignancies and were matched with 3 controls according to recipient, donor, and transplant characteristics. Between 2004 and 2015, 18 patients with IBD underwent allogeneic HSCT. With a median follow-up of 33 months for the patients with IBD and 57 months for controls, the cumulative incidence of grade II-IV acute graft-versus-host disease (GVHD) was 39% for the patients with IBD and 40% for controls (hazard ratio [HR], 1.10; P = .82). The cumulative incidence of chronic GVHD at 48 months was 52% for the patients with IBD and 43% for controls (HR, 0.92; P = .89). Nonrelapse mortality at 48 months was 19% for the patients with IBD and 11% for controls (HR, 4.93; P = .067). Overall survival at 48 months was 59% for the patients with IBD and 60% for matched controls (HR, 1.35; P = .56). In conclusion, IBD should not be considered a contraindication for transplantation, and its impact on comorbidity indexes should be reduced.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".