Management of dyslipidaemia in patients with comorbidities—facing the challenge: type 1 diabetes mellitus
Bibliographic record
Abstract
Type 1 diabetes is associated with excess cardiovascular risk. In contrast to type 2 diabetes, however, age at the onset of type 1 diabetes and sex are major predictors of cardiovascular risk, while the role of low-density lipoprotein cholesterol (LDL-C) and lipid-lowering therapy is less clear. Since most data on the effects of lipid-lowering treatments are obtained from randomized clinical trials that included very predominantly patients with type 2 diabetes, it is almost impossible to specifically discern endpoints in type 1 diabetes. Inversely, most data specific for type 1 diabetes are obtained from real world findings. Consequently, the evidence on efficacy and safety of lipid-lowering therapies available from randomized clinical trials arises very predominantly from type 2 diabetes. Thus, this specific review summarizes the evidence of lipid-lowering drug classes in reducing cardiovascular risk in patients with type 1 diabetes.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| 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".