Contribution of apo CIII reduction to the greater effect of 12-week micronized fenofibrate than atorvastatin therapy on triglyceride levels and LDL size in dyslipidemic patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Apolipoprotein (apo) CIII plays an important role in the catabolism of triglyceride-rich lipoproteins as it is a potent inhibitor of lipoprotein lipase (LPL). A low LPL activity has been simultaneously associated with hypertriglyceridemia, low HDL cholesterol and with small LDL particles. AIM: To compare the effects of a 12-week treatment with micronized fenofibrate (200 mg) versus atorvastatin (10 mg) on apo CIII and lipoprotein-lipid levels including LDL size. METHOD: After a 4-week washout period, dyslipidemic patients were randomized to either micronized fenofibrate (n = 64) or atorvastatin (n = 72). RESULTS: Both fenofibrate and atorvastatin significantly decreased apo CIII levels by -0.03 +/- 0.03 versus -0.01 +/- 0.03 g/l respectively, and increased LDL size by 4.9 +/- 3.3 versus 1.8 +/- 2.9 A. Improvements in these parameters were significantly greater with fenofibrate (P < 0.0001). Significant relationships were found between changes in triglycerides and changes in apo CIII (r = 0.81 and r = 0.59, P < 0.0001) as well as between changes in LDL size and changes in apo CIII (r = -0.41 and r = -0.45, P < 0.001), in both fenofibrate and atorvastatin groups. respectively. CONCLUSION: The substantial reduction in apo CIII induced by micronized fenofibrate plays an important role in the greater effect of micronized fenofibrate than atorvastatin on plasma triglycerides and LDL size.
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.
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 | 0.001 |
| 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 | 0.000 |
| 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 it