Current understanding of bleeding with ibrutinib use: a systematic review and meta-analysis
Bibliographic record
Abstract
Ibrutinib therapy was associated with an increased risk of bleeding in previous trials. In this systematic review and meta-analysis of published trials including patients treated with ibrutinib, the relative risk (95% confidence interval [CI]) of overall bleeding was significantly higher in ibrutinib recipients (2.72 [1.62-6.58]), but major bleeding did not show a significant difference (1.66 [0.96-2.85]). The incidences (95% CI) of major bleeding and any bleeding were 3.0 (2.3-3.7) and 20.8 (19.1-22.1) per 100 patient-years, respectively. This analysis is limited by reporting bias from variable ascertainment of bleeding and lack of allocation concealment in some studies and differing exposures between groups, leading to potential overestimation of event rates in the ibrutinib group.
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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 | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.022 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".