Is Statin Exposure Associated with Occurrence or Better Outcome in Giant Cell Arteritis? Results from a French Population-based Study
Bibliographic record
Abstract
OBJECTIVE: To investigate the potential association between statin use and giant cell arteritis (GCA) course. METHODS: Using the French National Health Insurance system, we included patients with incident GCA from the Midi-Pyrenees region, southern France, from January 2005 to December 2008 and randomly selected 6 controls matched by age, sex, and date of diagnosis. Statin exposure was compared between patients with GCA and their controls before GCA occurrence with a logistic regression. Influence of statin exposure on prednisone requirements during GCA course was explored with a Cox model, considering statin exposure as a time-varying variable. RESULTS: The cohort included 103 patients (80 women, mean age 74.8 ± 9 yrs, mean followup 48.9 ± 14.8 mos), compared to 606 controls. Statin exposure (27.2% of patients with GCA and 23.4% of controls) was not associated with GCA occurrence (adjusted OR 1.2, 95% CI 0.76-1.96; p = 0.41). Diabetes mellitus was significantly associated to GCA occurrence (adjusted OR 0.38, 95% CI 0.11-0.72; p = 0.008). After diagnosis, exposure to statins up to 20 months was associated with maintenance while taking low prednisone doses (p = 0.01). CONCLUSION: Statin exposure was not associated with GCA occurrence in the general population. However, exposure to statins up to 20 months may favor a quicker corticosteroid tapering. Based on those results, statin effect on GCA course should not be definitively ruled out.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".