This formula was tested on data from nearly 100,000 people and might help prevent heart disease and save a lot of money — but it hasn’t been proven yet.

Evidence from Studies

Supporting (1)

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Abstract 9360: Increasing Mass Transfer Flux of Low-Density Lipoproteins-Cholesterol or Apolipoprotein B at the Endothelium of Atherogenic Sites as a Primary Target of Atherosclerotic Cardiovascular Disease

Computational/Algorithm Study

This study used a special formula (MAF) that looks at multiple health markers to predict heart disease risk, and they tested it on over 95,000 people — just like the claim says. It shows this method could help stop heart disease and save money.

Contradicting (0)

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No contradicting evidence found

Gold Standard Evidence Needed

According to GRADE and EBM methodology, here is what ideal scientific evidence would look like to definitively prove or disprove this specific claim, ordered from strongest to weakest evidence.

Source Study

Abstract 9360: Increasing Mass Transfer Flux of Low-Density Lipoproteins-Cholesterol or Apolipoprotein B at the Endothelium of Atherogenic Sites as a Primary Target of Atherosclerotic Cardiovascular Disease

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DOI: 10.1161/circ.144.suppl_1.9360

Similar Assertions

Scientists created a new formula that uses multiple health numbers to help figure out who’s at risk for heart disease and how to stop it — by focusing on how fast bad cholesterol moves into artery walls.

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A new formula that combines cholesterol levels, blood pressure, heart rate, and heart stiffness gives risk scores for heart disease that match up with the official guidelines doctors already use.

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83%