PCI Guided by Fractional Flow Reserve at 5 Years
Bibliographic record
Abstract
102and national groups in the initial identification of the condition as well as challenges in management and logistics.Mycyk further underscores the critical multiagency, multidisciplinary effort by groups such as the Illinois Poison Center, the Toxikon Consortium, the CDC, and the Illinois Department of Public Health.It was through the efforts of these organizations and the multidisciplinary collaborations of area hospital and emergency workers that the outbreak was recognized and effective treatment to achieve hemostasis and correct coagulopathy was initiated.Wang et al. address pharmacoeconomic considerations in the use of vitamin K 1 .They describe the higher cost of the oral formulation than the intravenous formulation and raise concerns about procurement during shortages.As we reported, this became a major issue in central Illinois and led some patients to obtain vitamin K 1 products from nonpharmaceutical online vendors.We recommended against this because of concerns about the purity of these supplements.Although local pharmacies were eventually able to acquire additional supplies from other states, a disseminated outbreak would require a coordi-nated effort to increase the availability of vitamin K 1 .We strongly support exploration of alternative sources of vitamin K 1 by the FDA in order to lower costs and circumvent future shortages.
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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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.023 | 0.012 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".