A PAI-1 (SERPINE1) polymorphism predicts osteonecrosis in children with acute lymphoblastic leukemia: a report from the Children's Oncology Group
Bibliographic record
Abstract
As glucocorticoid use increased in acute lymphoblastic leukemia, osteonecrosis became an increasingly frequent complication. Besides increased age, host risk factors are poorly defined. We tested whether 12 polymorphisms were associated with osteonecrosis among patients 10 years and older treated on the CCG1882 protocol. Candidate genes (TYMS, MTHFR, ABCB1, BGLAP, ACP5, LRP5, ESR1, PAI-1, VDR, PTH, and PTHR) were chosen based on putative mechanisms underlying osteonecrosis risk. All children received dexamethasone, with doses varying by treatment arm. A PAI-1 polymorphism (rs6092) was associated with risk of osteonecrosis in univariate (P = .002; odds ratio = 2.79) and multivariate (P = .002; odds ratio = 2.89) analyses (adjusting for gender, age, and treatment arm). Overall, 21 of 78 (26.9%) children with PAI-1 GA/AA genotypes, versus 25 of 214 (11.7%) children with GG genotype, developed osteonecrosis. PAI-1 polymorphisms and PAI-1 serum levels have previously been associated with thrombosis. We conclude that PAI-1 genetic variation may contribute to risk of osteonecrosis.
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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 | 0.001 | 0.003 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".