Spontaneous Hemorrhagic Pericardial and Pleural Effusion in a Patient Receiving Apixaban
Bibliographic record
Abstract
Direct oral anticoagulants (DOACs) are used for many conditions where anticoagulation is needed such as non-valvular atrial fibrillation, deep vein thrombosis (DVT) and pulmonary embolism (PE). These novel agents have become popular since they do not require monitoring of therapeutic levels and there is a lower risk of certain bleeding complications when compared to warfarin. However, the efficacy and side effect profile of these agents have not been widely studied in certain patient cohorts, namely cancer patients and patients on immunomodulators or hormone analogs. We present a case of a patient with a history of malignancy and autoimmune disease who developed pericardial and pleural effusions shortly after initiating apixaban for treatment of a PE. In addition, we aim to increase awareness of the role that the newly available reversal agents for anticoagulants would offer in the acute management of hemorrhagic pericardial and pleural effusions caused by DOACs in patients with and without malignancy.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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".