Treatment Effects of Therapeutic-Dose Heparin in Patients Hospitalized for COVID-19
Bibliographic record
Abstract
statin treatment in the treat-to-target group.While the effect of statin treatment on reducing clinical events is not solely caused by suppression of low-density lipoprotein cholesterol (LDL-C) level, and the authors adjusted for confounders, genetic factors such as apolipoprotein E gene polymorphisms may contribute to coronary artery disease and type 2 diabetes.2,3 Individual variations in the response to statin treatment may be closely associated with genetic factors, and the recommendation of a treat-to-target LDL-C strategy for patients with cardiovascular disease should be made after understanding the magnitude of genetic contribution to the ability of LDL-C reduction and prevention of cardiovascular events.Additionally, this study included substantially more men (n = 3172) than women (n = 1228), and the authors did not comment on sex difference in this study.1 The majority of women in this study were likely postmenopausal, and dyslipidemia increases over a woman's life span, with adverse changes occurring around menopause.4
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.004 | 0.003 |
| 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".