Gastrointestinal involvement refines prognosis in minnesota standard risk acute graft-vs.-host disease
Bibliographic record
Abstract
Abstract Minnesota acute graft versus host disease (AGVHD) risk score is a validated tool to stratify newly-diagnosed patients into standard-risk (SR) and high-risk (HR) groups with ~85% having SR AGVHD. We aimed to identify factors for further risk-stratification within Minnesota SR patients. A single-center, retrospective analysis of consecutive patients between 1/2010 and 12/2014 was performed. Patients who developed AGVHD within 100 days and treated with systemic corticosteroids were included (N=416), 356 (86%) of which were Minnesota SR and 60 (14%) had HR AGVHD. Isolated upper gastrointestinal (GI) AGVHD patients had significantly better day 28 and 56 CR/PR rates (90% vs. 72%, p=0.004) and (83% vs 66%, p=0.01), respectively, and lower 1-year non-relapse mortality (NRM; 10% vs. 22%; HR 0.4, p=0.03). Lower GI AGVHD had less favorable outcomes with 1-year NRM of 40% (HR 2.1, p=0.001), although CR/PR rates were not statistically different. In multivariate analysis, lower GI involvement (HR 2.6, p<0.001), age ≥ 50 (HR 2.9, p<0.001) and HCT-CI>3 (HR 2.1, p=0.002) predicted for 1-year NRM. Heterogeneity within Minnesota SR patients requires consideration in clinical trials, as distinct outcomes are observed in those with isolated upper GI and lower GI AGVHD, highlighting the importance of stratification in clinical trial design.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".