Comparison of Recommended Eligibility for Primary Prevention Statin Therapy Based on the US Preventive Services Task Force Recommendations vs the ACC/AHA Guidelines
Bibliographic record
Abstract
IMPORTANCE: There are important differences among guideline recommendations for using statin therapy in primary prevention. New recommendations from the US Preventive Services Task Force (USPSTF) emphasize therapy based on the presence of 1 or more cardiovascular disease (CVD) risk factors and a 10-year global CVD risk of 10% or greater. OBJECTIVE: To determine the difference in eligibility for primary prevention statin treatment among US adults, assuming full application of USPSTF recommendations compared with the American College of Cardiology/American Heart Association (ACC/AHA) guidelines. DESIGN, SETTING, AND PARTICIPANTS: National Health and Nutrition Examination Survey (NHANES) data (2009-2014) were used to assess statin eligibility under the 2016 USPSTF recommendations vs the 2013 ACC/AHA cholesterol guidelines among a nationally representative sample of 3416 US adults aged 40 to 75 years with fasting lipid data and triglyceride levels of 400 mg/dL or less, without prior CVD. EXPOSURES: The 2016 USPSTF recommendations vs 2013 ACC/AHA guidelines. MAIN OUTCOMES AND MEASURES: Eligibility for primary prevention statin therapy. RESULTS: Among the US primary prevention population represented by 3416 individuals in NHANES, the median weighted age was 53 years (interquartile range, 46-61), and 53% (95% CI, 52%-55%) were women. Along with the 21.5% (95% CI, 19.3%-23.7%) of patients who reported currently taking lipid-lowering medication, full implementation of the USPSTF recommendations would be associated with initiation of statin therapy in an additional 15.8% (95% CI, 14.0%-17.5%) of patients, compared with an additional 24.3% (95% CI, 22.3%-26.3%) of patients who would be recommended for statin initiation under full implementation of the 2013 ACC/AHA guidelines. Among the 8.9% of individuals in the primary prevention population who would be recommended for statins by ACC/AHA guidelines but not by USPSTF recommendations, 55% would be adults aged 40 to 59 years with a mean 30-year cardiovascular risk greater than 30%, and 28% would have diabetes. CONCLUSIONS AND RELEVANCE: In this sample of US adults from 2009-2014, adherence to the 2016 USPSTF recommendations for statin therapy, compared with the 2013 ACC/AHA guidelines, could lead to a lower number of individuals recommended for primary prevention statin therapy, including many younger adults with high mean long-term CVD risk.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".