Four-factor prothrombin complex concentrate for the treatment of oral factor Xa inhibitor-associated bleeding: a meta-analysis of fixed versus variable dosing
Bibliographic record
Abstract
Background: The optimal dosing strategy of four-factor prothrombin complex concentrate (4F-PCC) to treat oral factor Xa (FXa) inhibitor-associated bleeding has not been established. Objectives: To evaluate the effectiveness and safety of fixed versus variable 4F-PCC dosing for the management of FXa inhibitor-associated bleeding. Methods: A systematic literature search and meta-analysis of clinical studies was performed using PubMed, Embase, and Cochrane databases from inception to January 2022. The primary outcomes included hemostatic effectiveness, mortality, and thromboembolic events. Secondary outcomes included 4F-PCC usage, total length of stay in hospital and in intensive care units, and time to 4F-PCC administration. The pooled incidence or mean was calculated using a random-effects model and compared between the 2 dosing strategies. Results: < 0.001). Conclusions: A fixed-dosing strategy appears to be a safe and effective alternative to variable weight-based dosing and was associated with lower 4F-PCC usage. However, direct comparative studies are needed to confirm these results.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".