Evidence database
The cholesterol trial database
106 trials and meta-analyses behind today's cholesterol medicines, from 1984 to 2026. Each summary comes from the trial's PubMed abstract, with its key sentence quoted word for word so you can check it. Read the evidence behind every cholesterol medicine for yourself.
- trials and meta-analyses
- 106
- people in the trials
- 542,436
- years of trials, 1984 to 2026
- 42
- medicine families
- 8
106 of 106 studies, 542,436 people in trials
- Fewer heart events or deaths
- No clear benefit
- Lipid or plaque goal met
- Safety, side effects or genetics
Point at a bar segment for its count.
- 22 studies, 148,995 people
- 6 studies, 40,669 people
- 4 studies, 17,324 people
- 28 studies, 111,238 people
- 5 studies, 1,298 people
- 6 studies, 76,363 people
- 12 studies, 142,762 people
- 13 studies, 3,787 people
- 3 studies
- 7 studies
Browse by medicine
- Statins trials
- Ezetimibe and bile acid binders trials
- Bempedoic acid trials
- PCSK9 inhibitors trials
- Lp(a) medicines trials
- CETP inhibitors trials
- Fibrates, omega-3 and niacin trials
- APOC3, ANGPTL3 and lomitapide trials
- Genetics and gene editing trials
- Meta-analyses trials
How we built it
Trials curated by drug class; primary report identified in PubMed; fields extracted from the PubMed abstract only; each record carries a verbatim supporting quote, and all numbers in result fields were checked automatically against the abstract text.
Compiled October 28, 2026. Spotted an error? Send us a note.
Common questions
Where does this information come from?
From the PubMed abstract of each trial's main report. Every record quotes the sentence its result came from, every number in the results was checked automatically against the abstract text, and every PubMed ID matches its paper's title and year. Each trial page links to PubMed so you can read the source.
Why include trials that found no benefit?
Leaving them out would make the evidence look stronger than it is. 18 of the 106 studies here found no clear benefit or found harm, and they stay in.
Does a good trial result mean a medicine is right for me?
Trials describe groups of people. A licensed clinician weighs your own history, numbers and other medicines before recommending treatment. This database is for education, not medical advice.
Can I download the data?
Yes. Enter your email in the download box on this page and agree to be contacted, and the full database downloads as a spreadsheet (CSV) or JSON, free.
Education only, not medical advice. Talk with your clinician before starting or stopping any medicine.