Study analysis · European Heart Journal · 2023
Your heart scan could be more accurate than your cholesterol test at predicting a heart attack.
People with lots of calcium in their heart arteries are nearly 4 times more likely to have a heart attack—even if they feel fine and have normal cholesterol.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
In simple terms
This study found that people with more calcium in their heart arteries tend to have more heart problems later on. But it doesn't prove that the calcium itself causes the problems—maybe other things, like diet or lack of exercise, are the real reason.
What’s the bottom line?
Doctors used a special heart scan to check for calcium buildup in arteries of healthy people with no heart symptoms.
How strong is this study?
This study followed a lot of people for years and used good math to see if calcium scores predicted heart issues. That makes it pretty reliable for spotting who might be at risk—but since it didn't randomly assign people to treatments, we can't say changing calcium will change outcomes.
0 / 100
- COI disclosureconflicts of interest not disclosed
- Data availabilitydata not shared
- Code availabilitycode not shared
56 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control group+15/15
- Sample size (n=1195)+19.9/20
- Follow-up+10/10
100 / 100
77 / 100
- P-values+15/15
- Effect size+20/20
- Confidence intervals+15/15
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 559 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
This design cannot establish causation — the findings describe an association, not a cause. This is an observational cohort study without randomization or intervention; it can identify associations but cannot rule out confounding factors or establish direct cause-effect relationships.
No Conflicts
No conflicts of interest identified
No conflicts of interest or funding sources were disclosed, and there is no evidence of industry involvement or author affiliations that suggest bias.
The study appears to be conducted by hospital researchers without disclosed industry ties or funding. The absence of a funding statement or COI declaration does not imply conflict, but also limits transparency. No author affiliations suggest industry employment or financial interests.
Key takeaways
- 01
People with high calcium scores had 3.7 times more heart attacks than those with low scores.
- 02
After 15 years, 95% of low-score people were alive, but only 84% of high-score people were.
- 03
Yes — even if someone feels fine and has no other risk factors, a high calcium score means they’re much more likely to have a heart attack or die from heart disease.
Surprising findings
- Traditional risk factors like hypertension, diabetes, and high cholesterol were not statistically linked to heart events in this cohort.For decades, guidelines have told us these are the main predictors of heart disease. This study shows they failed to predict outcomes in a large, well-followed group—while CAC succeeded.
- The CAC score predicted risk independently of age and smoking—two of the strongest known risk factors.Age and smoking are universally accepted as major drivers of heart disease. That CAC still outperformed them suggests it captures something deeper—like actual plaque burden.
Practical takeaways
If you're over 40 and have no heart symptoms, ask your doctor about a CAC scan—especially if you have family history or borderline risk factors.
This study was done in a Portuguese cohort with mostly men; results may vary by gender, ethnicity, or healthcare access. Also, the 15-year survival data was extrapolated, not directly measured.
high confidenceIf your CAC score is high, focus on aggressive lifestyle changes—diet, exercise, and possibly statins—even if your cholesterol looks fine.
CAC score doesn’t tell you how to fix it—just that you’re at risk. Treatment decisions still require clinical judgment.
medium confidenceWhy this study matters
Calcium Beats Cholesterol
In this study of 1,195 healthy adults, traditional risk factors like high blood pressure, cholesterol, and diabetes showed no significant link to heart events—yet those with a high coronary artery calcium (CAC) score had a 3.71-fold higher risk of heart attacks. The CAC score was the strongest predictor, even after adjusting for age and smoking.
This flips the script: you might think your cholesterol numbers tell you your heart risk, but this study says your heart scan does—way better. It means you could be ‘healthy’ by standard metrics but still be at high risk.
15-Year Survival Drop
Over 15 years, 95.3% of people with low CAC scores survived, but only 84.3% of those with high scores did—a 11-percentage-point difference. Moderate scorers were at 92.8%. This shows a clear, graded risk curve tied directly to calcium buildup.
It’s not just about heart attacks—it’s about living longer. A simple scan can tell you if you’re likely to be alive in 15 years, even if you’re symptom-free now.
No Symptoms? Still at Risk
All participants were asymptomatic—no chest pain, no diagnosis. Yet those with high CAC scores still had dramatically higher event rates. This proves atherosclerosis can be silently progressing, and CAC scoring finds it before it’s too late.
Most people think heart disease only affects those with symptoms or obvious risk factors. This shows silent killers are hiding in plain sight.
Want the whole report?
Detailed mode opens the full scientific breakdown — every score component, the methodology, conflicts of interest, the evidence analysis behind each claim, and the raw study data.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Doctors used a special heart scan to check for calcium buildup in arteries of healthy people with no heart symptoms.
Research results
People with high calcium scores had 3.7 times more heart attacks than those with low scores. After 15 years, 95% of low-score people were alive, but only 84% of high-score people were.
What this means - more context
Yes — even if someone feels fine and has no other risk factors, a high calcium score means they’re much more likely to have a heart attack or die from heart disease.
To determine whether coronary artery calcium (CAC) score predicts cardiovascular events in asymptomatic adults without known cardiovascular disease.
In 1195 asymptomatic adults followed for 5.9 years, CAC score strongly predicted cardiovascular events independent of traditional risk factors, with high CAC category showing a 3.71-fold increased risk. Traditional risk factors were not significantly associated with events. Survival declined with higher CAC categories over 15 years.
Methods Used
Prospective cohort of 1195 asymptomatic adults (mean age 55.1, 73.8% male) from the GENEMACOR study. CAC score measured via cardiac CT using Agatston units and categorized as low, moderate, or high risk. Outcomes analyzed using bivariate tests, multivariable Cox regression, and Kaplan-Meier survival analysis over 5.9±4.3 years (with 15-year survival extrapolated).
Main Finding
High CAC score category independently predicted cardiovascular events with a hazard ratio of 3.71 (95% CI 1.66–8.27; p=0.001). Survival rates at 15 years were 95.3% (low), 92.8% (moderate), and 84.3% (high) (p<0.0001). Traditional risk factors showed no significant association with events.
Confidence Level
High confidence due to prospective design, multivariable adjustment, large sample size, and reporting of effect sizes with confidence intervals and p-values.
Study Flags
Red Flags
- •No randomization
- •Traditional risk factors not predictive in this cohort — possible selection bias
- •15-year survival data extrapolated beyond primary follow-up period
No biological mechanisms were identified in this study. This may be an epidemiological, observational, or survey-based study that reports associations rather than proposing causal biological pathways.
Surprising Findings
Traditional risk factors like hypertension, diabetes, and high cholesterol were not statistically linked to heart events in this cohort.
For decades, guidelines have told us these are the main predictors of heart disease. This study shows they failed to predict outcomes in a large, well-followed group—while CAC succeeded.
Practical Takeaways
If you're over 40 and have no heart symptoms, ask your doctor about a CAC scan—especially if you have family history or borderline risk factors.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 559 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
Human Cohort Study
Subject
Moderate probability
on the GRADE evidence scale
This study found that people with more calcium in their heart arteries tend to have more heart problems later on. But it doesn't prove that the calcium itself causes the problems—maybe other things, like diet or lack of exercise, are the real reason.
No conflicts of interest were detected in this study. No score impact.
Strengths
- Prospective design with long-term follow-up
- Use of validated CAC scoring method (Agatston, Hoff Nomogram)
- Multivariable Cox regression adjusting for key confounders (age, smoking)
Weaknesses
- No randomization or intervention, limiting causal inference
- Blinding status unknown, risking detection bias
- Potential selection bias from single-center recruitment
Methodology
Evidence Keywords
Statistical Reporting
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Doctors used a special heart scan to check for calcium buildup in arteries of healthy people with no heart symptoms.
Research results
People with high calcium scores had 3.7 times more heart attacks than those with low scores. After 15 years, 95% of low-score people were alive, but only 84% of high-score people were.
What this means - more context
Yes — even if someone feels fine and has no other risk factors, a high calcium score means they’re much more likely to have a heart attack or die from heart disease.
To determine whether coronary artery calcium (CAC) score predicts cardiovascular events in asymptomatic adults without known cardiovascular disease.
In 1195 asymptomatic adults followed for 5.9 years, CAC score strongly predicted cardiovascular events independent of traditional risk factors, with high CAC category showing a 3.71-fold increased risk. Traditional risk factors were not significantly associated with events. Survival declined with higher CAC categories over 15 years.
Methods Used
Prospective cohort of 1195 asymptomatic adults (mean age 55.1, 73.8% male) from the GENEMACOR study. CAC score measured via cardiac CT using Agatston units and categorized as low, moderate, or high risk. Outcomes analyzed using bivariate tests, multivariable Cox regression, and Kaplan-Meier survival analysis over 5.9±4.3 years (with 15-year survival extrapolated).
Main Finding
High CAC score category independently predicted cardiovascular events with a hazard ratio of 3.71 (95% CI 1.66–8.27; p=0.001). Survival rates at 15 years were 95.3% (low), 92.8% (moderate), and 84.3% (high) (p<0.0001). Traditional risk factors showed no significant association with events.
Confidence Level
High confidence due to prospective design, multivariable adjustment, large sample size, and reporting of effect sizes with confidence intervals and p-values.
Study Flags
Red Flags
- •No randomization
- •Traditional risk factors not predictive in this cohort — possible selection bias
- •15-year survival data extrapolated beyond primary follow-up period
No biological mechanisms were identified in this study. This may be an epidemiological, observational, or survey-based study that reports associations rather than proposing causal biological pathways.
Surprising Findings
Traditional risk factors like hypertension, diabetes, and high cholesterol were not statistically linked to heart events in this cohort.
For decades, guidelines have told us these are the main predictors of heart disease. This study shows they failed to predict outcomes in a large, well-followed group—while CAC succeeded.
Practical Takeaways
If you're over 40 and have no heart symptoms, ask your doctor about a CAC scan—especially if you have family history or borderline risk factors.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 559 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
Human Cohort Study
Subject
Moderate probability
on the GRADE evidence scale
This study found that people with more calcium in their heart arteries tend to have more heart problems later on. But it doesn't prove that the calcium itself causes the problems—maybe other things, like diet or lack of exercise, are the real reason.
No conflicts of interest were detected in this study. No score impact.
Strengths
- Prospective design with long-term follow-up
- Use of validated CAC scoring method (Agatston, Hoff Nomogram)
- Multivariable Cox regression adjusting for key confounders (age, smoking)
Weaknesses
- No randomization or intervention, limiting causal inference
- Blinding status unknown, risking detection bias
- Potential selection bias from single-center recruitment
Methodology
Evidence Keywords
Statistical Reporting
Scoring
How strong is this study?
This study followed a lot of people for years and used good math to see if calcium scores predicted heart issues. That makes it pretty reliable for spotting who might be at risk—but since it didn't randomly assign people to treatments, we can't say changing calcium will change outcomes.
0 / 100
- COI disclosureconflicts of interest not disclosed
- Data availabilitydata not shared
- Code availabilitycode not shared
56 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control group+15/15
- Sample size (n=1195)+19.9/20
- Follow-up+10/10
100 / 100
77 / 100
- P-values+15/15
- Effect size+20/20
- Confidence intervals+15/15
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 559 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
This design cannot establish causation — the findings describe an association, not a cause. This is an observational cohort study without randomization or intervention; it can identify associations but cannot rule out confounding factors or establish direct cause-effect relationships.
No Conflicts
No conflicts of interest identified
No conflicts of interest or funding sources were disclosed, and there is no evidence of industry involvement or author affiliations that suggest bias.
The study appears to be conducted by hospital researchers without disclosed industry ties or funding. The absence of a funding statement or COI declaration does not imply conflict, but also limits transparency. No author affiliations suggest industry employment or financial interests.
Standing
Who’s using this study?
The videos and claims on this site that lean on this study, and the researchers who wrote it.
1 video from Dr Brad Stanfield cite this study, drawing 1 claim from it.
- Very strong evidence
Randomized or controlled trials support this claim, alongside consistent supporting evidence.
Evidence
Authored by
13 researchersIf this is your work, this is how we attribute it on Fit Body Science. Francisco Alves de Sousa is listed as the lead author.