Neuro-cognitive profile of adult statin users at a large tertiary care hospital in Delhi, India
Bibliographic record
Abstract
Background: Statins are the most widely prescribed drugs for dyslipidemia and CAD. But evidence on their cognitive effects is conflicting. A unique genetic makeup and variable lipid patterns make South Asians more susceptible to statin adverse effects. But literature on statin safety in this group is scarce. We aimed to assess the cognitive status of adult Indian statin users over two years and explore factors associated with it. Methods: A prospective cohort was established for cognitive profiling of adult statin users, visiting the out-patient cardiology department of a tertiary care center in North India. The Montreal Cognitive Assessment Scale measured cognitive function. Analysis was conducted using mixed-effects linear regression modelling to account for repeated measurements. Results: -value .005 and <.001 respectively). Participants over 60 scored had significantly lower scores and those who had completed secondary school and above scored significantly higher scores. No significant associations were observed between cognitive score and other covariates- sex, follow-up period, statin type and duration of use. Conclusion: The statins-cognition relationship is controversial. This study demonstrated statistically significant relationships of cognition with age and education and showed no change in cognition over 2 years. The findings provide hypotheses for more in-depth assessments. Statins remain the most effective lipid-lowering treatment. However, further research is warranted for a more holistic understanding of the issue & optimizing their risk-benefit ratio.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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 | 0.000 |
| 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".