Longitudinal Association of Statin Treatment With Insulin Sensitivity and Beta-Cell Function in the PROMISE Cohort
Bibliographic record
Abstract
CONTEXT: Statin treatment lowers low-density lipoprotein (LDL) cholesterol, thereby reducing cardiovascular risk. Meta-analyses of clinical trials report a higher risk of new-onset type 2 diabetes with statins. Current clinical evidence regarding effects of statins on insulin sensitivity and beta-cell function is limited. OBJECTIVE: We examined the effects of statin treatment on longitudinal changes in early-risk phenotypes for type 2 diabetes. METHODS: The PROMISE cohort is a longitudinal study of adults at risk for type 2 diabetes. Data from baseline and 3 follow-up visits over 9 years were used to estimate insulin sensitivity (insulin sensitivity index, homeostatic model assessment for insulin sensitivity) and beta-cell function (insulinogenic index/homeostatic model assessment for insulin resistance, insulin secretion sensitivity index-2). Statin use was self-reported. Associations of statins with changes in metabolic markers were determined through generalized estimating equations. RESULTS: Over 9 years, 169 of 498 participants (aged 50 years, 74% female) received a statin, predominantly rosuvastatin and atorvastatin. Compared to those with no statin treatment, statin users had lower insulin sensitivity (5.32%-6.36%) and beta-cell function (4.93%-7.59%) (P < .001), adjusting for metabolic risk factors. Rosuvastatin was associated with decreased insulin sensitivity and beta-cell function, while atorvastatin showed moderate inverse association with beta-cell function and insulin sensitivity. In female participants, statins reduced insulin sensitivity and beta-cell function, while in male participants only beta-cell function was altered. CONCLUSION: Statin treatment was associated with lowered insulin sensitivity and beta-cell function with potential differential effects among statin agents and the sexes.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".