Acute thrombocytopenia caused by sensitivity to the glucuronide conjugate of acetaminophen
Bibliographic record
Abstract
arterial calcification, perhaps due to the preferential absorption of vitamin K 2 by arterial vessel walls or its more efficient use by carboxylase enzymes. 2 However, warfarin doses used in the rat model greatly exceed those received by human subjects on long-term anticoagulant therapy.We hold the view that the potential benefits, in terms of reducing bleeding risk (the consistently reported main adverse effect of oral anticoagulants), which we noted in response to supplementation with vitamin K1, 3 outweigh the hypothetical risk of vascular calcification associated with the incremental rise (16% in our study) in warfarin dose.While the absence of reports of long-term adverse effects in terms of clinically relevant harm from cardiovascular calcification in anticoagulated patients is reassuring, indirect evidence such as that menaquinone is inversely associated with severe aortic calcification as measured by lumbar spine x-ray in asymptomatic individuals, 4 and the reported association between aortic valve calcification and oral anticoagulant (OA) therapy 5 (although explainable as a marker of diseases for which treatment with OACs was commenced rather than a response to warfarin), merits further study.Any such investigation, however, will require a robustly designed trial (in terms of power and randomization and with relevant clinical outcomes in terms of coronary artery events, for example) to test the hypothesis that vitamin K 2 , through its longer half-life and greater arterial accumulation, has a greater benefit-risk ratio compared with K 1 .The theoretical concerns, while worthy of exploration, should not discourage use of vitamin K 1 , in the meantime, to improve safety of anticoagulation in the unstable patient, or discourage further exploration of its role in anticoagulation population in general, where intraindividual variability in response makes regular anticoagulation monitoring a necessity.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".