Management of dyslipidaemia in patients with comorbidities: facing the challenge: type 2 diabetes mellitus
Bibliographic record
Abstract
Type 2 diabetes mellitus typically has the lipid features of elevated trigycerides, reduced HDL-cholesterol (both parts of the metabolic syndrome) and average or slightly elevated LDL-cholesterol. In consequence of hypertriglyceridemia, LDL particles are small and dense and therefore highly atherogenic. Outcome studies reveal that LDL-C lowering drugs have an above-average efficacy in type 2 diabetes as compared with non-diabetic patients. A minor increase of glycaemia in statin trials does not impair the beneficial cardiovascular results. Non-statin lipid lowering drugs do not impair glycaemia. Type 2 diabetes mellitus is now considered a major indication for lipid lowering drugs, thus there is a high value of and no major limitation for those compounds.
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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 | 0.003 | 0.000 |
| 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 | 0.000 | 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".