Achievement of recommended lipid and lipoprotein levels with combined ezetimibe/statin therapy versus statin alone in patients with and without diabetes
Bibliographic record
Abstract
Treatment guidelines identify low-density lipoprotein cholesterol (LDL-C) as the primary target of therapy with secondary targets of non-high-density lipoprotein cholesterol (non-HDL-C) and apolipoprotein B (apoB). Data were pooled from 27 randomised, double-blind, active or placebo-controlled trials in 21,794 adult hypercholesterolaemic patients (LDL-C 1.81-6.48 mmol/L) receiving ezetimibe/statin or statin for 4-24 weeks. Percentages of patients achieving various targets were calculated among diabetes (n = 6541) and non-diabetes (n = 15,253) subgroups. Significantly more patients with and without diabetes achieved specified levels of LDL-C (< 2.59, < 1.99, < 1.81 mmol/L), non-HDL-C (< 3.37, < 2.59 mmol/L) and apoB (< 0.9, < 0.8 g/L) with ezetimibe/statin versus statin. Patients with diabetes had larger mean per cent reductions in LDL-C and non-HDL-C than non-diabetes patients. A greater percentage of patients achieved both the LDL-C and apoB targets and all three LDL-C, apoB, and non-HDL-C targets with ezetimibe/statin versus statin in both subgroups. Patients with diabetes benefitted at least as much as, and sometimes more than, non-diabetes patients following treatment with ezetimibe/statin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 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".