Sex‐related differences in cognition with statin usage in a geriatric memory clinic cohort
Bibliographic record
Abstract
Abstract Background Recently, there has been debate for the suitability of statins for geriatric populations and patients with dementia as there is evidence suggesting improved quality of life following discontinuation of therapy in these groups, as well as conflicting evidence surrounding its potential to both prevent and potentiate downstream cognitive deficits. Despite large scale studies being conducted in the past regarding statins and cognition, there is a paucity of literature investigating its interaction with sex, as well as possible associations with other variables such as subjective complaints, neuropsychiatric symptoms, and function. Methods Analysis was done on patients assessed at a Memory Disorders Clinic at St. Michael’s Hospital between 2012 and 2017, comprising a population of 348 patients divided into groups taking daily atorvastatin (N = 45), rosuvastatin (N = 40), and controls (N = 263) (Table 1). Data form the Mini‐Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Behavioural Neurology Assessment‐Revised (BNA‐R), Neuropsychological Impairment Scale (NIS), The Older Americans Resources and Services (OARS) Activities of Daily Living (ADL) Scale and Neuropsychiatric Inventory Questionnaire (NPI‐Q) were analyzed. Results Two‐way ANOVA demonstrated a significant interaction between sex, cognitive performance, and statin use in which female statin users scored significantly lower on multiple subdomains of the BNA‐R (p < 0.05) (Table 2). Patients taking atorvastatin additionally scored lower on CERAD delayed recall, delayed recognition, and in the cumulative recognition domain than other groups (p < 0.05). Atorvastatin and rosuvastatin were additionally associated with higher frequency of dysphoria and disinhibition, respectively (p < 0.05). No significant results were found in other measures investigated. Conclusions In addition to minor associations between atorvastatin usage and lower memory performance, findings from this investigation suggest a possible interaction between sex, cognition and statin use that has not been well documented in literature. Though these findings were not reflected in other measures such as subjective complaint or function, further research may be warranted to provide insight into the relationship between sex, statin usage and neurological effects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".