To make an informed decision, it's crucial to determine which variables actually influence your risk of a heart attack or stroke. Among all available markers, ApoB (Apolipoprotein B) is one of the most accessible and powerful biomarker for assessing cardiovascular risk. ApoB reflects the number of atherogenic (plaque-forming) particles in your blood, making it a strong predictor of cardiovascular events.
Once you've identified your risk, the next step is to determine how much a medication like a statin can lower it. The best way to do this is by looking at well-conducted research. Use platforms like Consensus to find large-scale, randomized controlled trials and meta-analyses that provide reliable data.
It's important to read the research yourself. Relying on secondhand interpretations—whether from news articles, social media, or even doctors—can lead to misunderstandings, as information is often cherry-picked or misrepresented. Scientific studies include key details like participant demographics, effect sizes, and statistical significance that can completely change the interpretation of the findings. Without these details, you may not get an accurate picture of the true risk and benefit.
To see how research applies to real-world decisions, consider the following example:
Knowing your baseline risk and understanding the expected risk reduction from medication allows you to make a well-informed decision about whether the benefits outweigh potential risks.
All medications have potential side effects, but the question is: how often do they occur, and how severe are they?
Even if you fall into one of these small risk categories, it's also important to remember that side effects aren't an all-or-nothing scenario—if one medication causes issues, there are always alternatives to try.
Let's assume you're debating whether to take a statin and you have a 20% risk of heart attack or stroke in 10 years. A statin might reduce that to 12%, meaning 8 fewer heart attacks or strokes per 100 people.
For most people at high cardiovascular risk, the benefit-to-risk ratio strongly favors taking a statin.
Medications aren't one-size-fits-all. Factors like family history, lifestyle, and personal health goals matter. For example:
Instead of fearing medications or blindly accepting them, evaluate them with a risk-reward framework. For statins, the numbers show that for those at moderate-to-high cardiovascular risk, the benefits far outweigh the risks. And this same logical approach applies to any medication decision: evaluate the data, weigh your personal risks, and make an informed choice.