Bibliographic record
Abstract
Chronic hepatitis C virus ( HCV ) infection has been associated with inflammation of the cardiovascular system, which in turn might be associated with cardiovascular disease. 1 -5 Dr Wu and co-workers from Taiwan aimed to investigate the impac t of direc t-ac ting antivirals ( DAA s ) on HC V-associated cardiovascular event retrospective cohort study.The authors concluded that chronic HCV patients treated with DAAs experienced lower rates of cardiovascular events and all-cause mortality than those without treatment.Anthracyclines can cause cancer therapy related cardiac dysfunction ( CTRCD ) . 6 -10Dr Thavendiranathan and co-workers from Canada aimed to assess whether statins prevent decline in left ventricular ejection fraction ( LVEF ) in anthracycline-treated patients at increased risk for CTRCD in a multicentre double-blinded, placebo-controlled trial and patients with cancer who were at increased risk of anthracyclinerelated CTRCD ( per ASCO guidelines ) .The patients were randomly assigned to atorvastatin 40 mg or placebo once daily.Cardiovascular magnetic resonance ( CMR ) imaging was performed before and within 4 weeks after anthracyclines.Blood biomarkers were measured at every cycle.The authors concluded that primary prevention with atorvastatin during anthracycline therapy did not ameliorate LVEF decline, LV remodelling , C TRCD, change in serum cardiac biomarkers, or CMR myocardial tissue changes.Current pharmacogenetic guidelines require sequencing of the SLCO1B1 gene, which is more expensive and less accessible than genotyping.Variants in SLCO1B1, which encodes the hepatic transporter OATB1B1, influence statin pharmacokinetics, resulting in an altered plasma concentration of the drug and its met abolites . 11Dr Siddiqui et al. from the UK aimed to develop an easy, clinically implementable functional gene risk score of common variants in SLCO1B1 to identify patients at risk of statin intolerance.The authors concluded that a gene risk score based on four common SLCO1B1 variants provides an easily implemented genetic tool that is more reliable than the current recommended practice in estimating the risk and predicting early-onset statin intolerance.Guideline recommendations 12 for the treatment of heart failure with mildly reduced ejection fraction ( HFmrEF ) derive from small subgroups in post-hoc analyses of randomized trials.Dr Savarese and co-workers investigated predictors of renin-angiotensin system inhibitors/angiotensin receptor neprilysin inhibitors ( RASIs/ARNIs ) and beta-blocker use 13 , and the associations between these medications and mortalit y/morbidit y in a large real-world cohort with HFmrEF.Patients with HFmrEF ( EF 40-49% ) from the Swedish HF Registry
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.028 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".