Effectiveness of Statins on Total Cholesterol and Cardiovascular Disease and All-cause Mortality in Osteoarthritis and Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVE: There is increasing prevalence of hypercholesterolemia among patients with osteoarthritis (OA) and rheumatoid arthritis (RA). We examined the effectiveness of statins on total cholesterol (TC), cardiovascular (CV) morbidity, and mortality in patients with OA or RA. METHODS: A population-based cohort study was done using a record-linkage database in Tayside, Scotland. In total, 2024 OA or RA patients who had at least 2 separate TC measurements between 1993 and 2007 were studied. They were categorized into statin-exposed and statin-unexposed groups according to statin use status during followup. The main outcomes were TC concentration change from baseline, CV events, and all-cause mortality during the followup. Multivariate Cox regression models with a time-dependent variable for statins were employed to assess the risk of outcomes. RESULTS: Statin-associated TC concentrations in OA decreased by 15% in patients without CV disease (primary prevention, n = 1269) and 7% in patients with CV disease (secondary prevention, n = 247) from baseline of 5.30 mmol/l and 4.54 mmol/l, respectively. Correspondingly, in RA TC was reduced by 16% (n = 430) and 15% (n = 78) with baselines of 5.54 mmol/l and 4.95 mmol/l. In primary prevention, statins were associated with reduced CV events and all-cause mortality in RA patients [adjusted HR 0.45 (95% CI 0.20-0.98) and 0.43 (95% CI 0.20-0.92), respectively] and all-cause mortality in OA patients [adjusted HR 0.43 (95% CI 0.25-0.72)]. Statins were not associated with reduced risk of CV events or all-cause mortality in the secondary prevention of RA or OA patients [adjusted HR 0.68 (95% CI 0.30-1.54) and 0.52 (95% CI 0.20-1.34) for OA patients, and HR 0.58 (95% CI 0.07-4.79) and 0.79 (95% CI 0.18-3.53) for RA patients]. CONCLUSION: Statins reduced TC concentrations between 7% and 16% in patients with OA or RA. Statins were associated with reduced CV events and mortality in RA and mortality in OA in primary prevention.
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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 | 0.004 | 0.006 |
| 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 | 0.001 | 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 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".