Long term fenofibrate did not reduce major coronary events but may reduce total CVD events in type 2 diabetes
Bibliographic record
Abstract
Keech A, Simes RJ, Barter P, et al . Effects of long-term fenofibrate therapy on cardiovascular events in 9795 people with type 2 diabetes mellitus (the FIELD study): randomised controlled trial. Lancet 2005;366:1849–61. [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q In patients with type 2 diabetes mellitus, what is the effect of long term fenofibrate therapy on coronary heart disease (CHD) events? Clinical impact ratings GP/FP/Primary care ★★★★★★☆ IM/Ambulatory care ★★★★★★☆ Geriatrics ★★★★★☆☆ ### ![Graphic][5] Design randomised placebo-controlled trial (Fenofibrate Intervention and Event Lowering in Diabetes [FIELD]). ### ![Graphic][6] Allocation concealed.* ### ![Graphic][7] Blinding blinded (clinicians, patients, and outcome assessors).* ### ![Graphic][8] Follow up period median 5 years. ### ![Graphic][9] Setting 63 centres in Australia, New Zealand, and Finland. ### ![Graphic][10] Patients 9795 patients 50–75 years of age (mean age 62 y, 63% men) who had a World Health Organization diagnosis of type 2 diabetes, total cholesterol concentration 3–6.5 mmol/l, and a total cholesterol/high density lipoprotein (HDL) cholesterol ratio ⩾4 or a triglyceride concentration of 1–5 mmol/l, with no clear indication for lipid modifying therapy. Exclusion criteria were renal impairment, chronic liver disease, symptomatic gallbladder disease, or occurrence of a cardiovascular disease (CVD) event within 3 months … [1]: {openurl}?query=rft.jtitle%253DLancet%26rft.stitle%253DLancet%26rft.aulast%253DKeech%26rft.auinit1%253DA.%26rft.volume%253D366%26rft.issue%253D9500%26rft.spage%253D1849%26rft.epage%253D1861%26rft.atitle%253DEffects%2Bof%2Blong-term%2Bfenofibrate%2Btherapy%2Bon%2Bcardiovascular%2Bevents%2Bin%2B9795%2Bpeople%2Bwith%2Btype%2B2%2Bdiabetes%2Bmellitus%2B%2528the%2BFIELD%2Bstudy%2529%253A%2Brandomised%2Bcontrolled%2Btrial.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0140-6736%252805%252967667-2%26rft_id%253Dinfo%253Apmid%252F16310551%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1016/S0140-6736(05)67667-2&link_type=DOI [3]: /lookup/external-ref?access_num=16310551&link_type=MED&atom=%2Febmed%2F11%2F3%2F86.atom [4]: /lookup/external-ref?access_num=000233643200023&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif [10]: /embed/inline-graphic-6.gif
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Editorial About the Canadian research system: no · About a Canadian topic: no | Observational | medium |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".