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Record W2086524291 · doi:10.2337/diacare.25.3.627

Fenofibrate Lowers Plasma Triglycerides and Increases LDL Particle Diameter in Subjects With Type 2 Diabetes

2002· letter· en· W2086524291 on OpenAlexaff
Juha Vakkilainen, George Steiner, Jean-Claude Ansquer, H. Perttunen-Nio, Marja‐Riitta Taskinen

Bibliographic record

VenueDiabetes Care · 2002
Typeletter
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsUniversity Health Network
FundersU.S. Food and Drug AdministrationVlaamse regering
KeywordsFenofibrateMedicineType 2 diabetesInternal medicineDiabetes mellitusDyslipidemiaHypertriglyceridemiaCoronary artery diseaseEndocrinologyCholesterolGastroenterologyTriglyceride

Abstract

fetched live from OpenAlex

Subjects with type 2 diabetes have an increased risk of coronary artery disease (CAD). The typical dyslipidemia in type 2 diabetes consists of hypertriglyceridemia, low HDL cholesterol level, and preponderance of small, dense LDL particles. Epidemiological studies have linked all these lipid abnormalities with CAD. The Diabetes Atherosclerosis Intervention Study (DAIS) has recently reported that treatment with fenofibrate results in favorable changes in the plasma lipid profile and a significant reduction in the progression of CAD in subjects with type 2 diabetes (1). We have now determined the long-term effect of fenofibrate on LDL peak particle diameter in 46 Finnish DAIS study participants with type 2 diabetes. The baseline characteristics in our DAIS subpopulation were similar to those in the whole cohort (2). Subjects were randomly assigned micronized 200 mg fenofibrate once daily ( n =25) or placebo ( n =21) for at least 3 years. Data obtained at randomization were used as the baseline data, and …

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.201
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations40
Published2002
Admission routes1
Has abstractyes

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