Bibliographic record
Abstract
It is well known that hospitalized medical patients are at higher risk for the development of venous thromboembolism. As a result patients are placed on standard prophylactic anticoagulation. As newer anticoagulants are coming to the market patients on these novel oral agents are continued on them instead of being transitioned to the standard therapies.Dabigatran, one of the newer agents, is an oral direct thrombin inhibitor (DTI) approved for anticoagulation in non-valvular atrial fibrillation and DVT prophylaxis in post-operative patients after knee and hip surgeries. Dabigatran is an effective anticoagulant because DTI’s suppress thrombus growth []. We report a case of extensive pulmonary emboli in a patient taking dabigatran. Although dabigatran is not currently approved for DVT/VTE prophylaxis in the hospitalized medical patient, recent studies demonstrate its non-inferiority compared with warfarin in the prevention of recurrent VTE. In light of this, we argue that our patient constitutes a treatment failure. J Med Cases. 2013;4(8):550-551 doi: https://doi.org/10.4021/jmc1400w
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".