Recommended and observed statin use among US adults with and without cancer
Bibliographic record
Abstract
AIMS: Patients with cancer are at increased cardiovascular (CV) risk. We aimed to compare the recommended and observed statin use among individuals with and without cancer. METHODS AND RESULTS: Using three 2-year cycles from the National Health and Nutrition Examination Survey (2013-18), we analysed data from 17 050 US adults. We compared the prevalence of Class 1 statin recommendations and use between individuals with and without cancer, overall, and among different demographic groups. Individuals with a history of cancer were older and had a higher burden of comorbidities. Stratified by age groups, they were more likely to have a secondary prevention indication compared with individuals without cancer but not a primary prevention indication for statin. Among individuals with an indication for statin therapy, the prevalence of statin use was higher in the cancer group compared with those without cancer (60.8% vs. 47.8%, P < 0.001), regardless of sex, type of indication (primary vs. secondary prevention), and education level. However, the higher prevalence of statin use in the cancer group was noted among younger individuals, ethnic minorities, and those with lower family income. CONCLUSION: Our finding highlights the importance of optimization of CV health in patients with cancer, as individuals with cancer were more likely to have a Class 1 indication for statin treatment when compared with individuals without cancer. Important differences in statin use among cohorts based on sex, age, ethnicity, and socioeconomic status were identified, which may provide a framework through which CV risk factor control can be targeted in this population. KEY FINDINGS: Higher statin use in cancer patients: Among those with Class 1 recommendation to take statins, 60.8% of cancer patients were using them, compared with 47.8% of non-cancer individuals, indicating a greater adherence to heart health recommendations in the cancer group. Demographic variations in statin use: The study found notable differences in statin use among younger individuals, ethnic minorities, and those with lower income within the cancer patient group, suggesting disparities in how these subgroups manage their cardiovascular health.
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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 | 0.000 | 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 | 0.000 | 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".