Bibliographic record
Abstract
Direct oral anticoagulants (DOACs) do not require routine monitoring of anticoagulant effect, but measuring DOAC activity may be desirable in specific circumstances to detect whether clinically significant DOAC levels are present (eg, prior to urgent surgery) or to assess whether drug levels are excessively high or excessively low in at-risk patients (eg, after malabsorptive gastrointestinal surgery). Routine coagulation tests, including the international normalized ratio (INR) or activated partial thromboplastin time (aPTT), cannot accurately quantify drug levels but may provide a qualitative assessment of DOAC activity when considering the estimated time to drug clearance based on timing of last drug ingestion and renal and hepatic function. Drug-specific chromogenic and clot-based assays can quantify drug levels but they are not universally available and do not have established therapeutic ranges. In this review, we discuss our approach to measuring DOAC drug levels, including patient selection, interpretation of coagulation testing, and how measurement may inform clinical decision-making in specific scenarios.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".