Worldwide Dyslipidemia Guidelines
Bibliographic record
Abstract
This review aims to identify common features of guidelines by comparing and summarizing similarities between five guidelines distributed by high-profile cardiovascular societies across the globe. We include guidelines from North America: ACC/AHA (2013 American College of Cardiology/American Heart Association Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults) and CCS (2016 Canadian Cardiovascular Society Guidelines for the Management of Dyslipidemia for the Prevention of Cardiovascular Disease in the Adult) and from Europe: PoLA (2016 Polish Lipid Association), ESC/EAS (2016 European Society for Cardiology/European Atherosclerosis Society Guidelines for the Management of Dyslipidemias), and NICE (National Institute for Health and Care Excellence) from the UK. We also include the 2016 Chinese guidelines for the management of dyslipidemia in adults in this comparison. All of these guidelines employ a rigorous review of clinical evidence and emphasize the immense importance of statins in the primary and secondary prevention of atherosclerotic cardiovascular disease. Moreover, they place great emphasis on the dialog between the clinician and the patient regarding treatment and the risks associated with it. Despite the differences in statin intensities, safety concerns, use of risk estimators, or treatment of specific patient subgroups, there are more similarities than differences between the guidelines from both a clinical and practical point of view. Physicians ought to understand both similarities and differences in guideline recommendations to make the right decision regarding statin therapy for individual patients.
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 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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".