Study analysis · European Heart Journal - Cardiovascular Imaging · 2023
Your heart's right side might be more inflamed than your left — and calcium scores may explain why.
People with more calcium in their heart arteries have worse inflammation on the right side, even if the overall inflammation isn't much higher.
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 looked at two things in people's hearts—calcium buildup and fat inflammation—and found they sometimes happened together. But it didn't watch people over time or change anything, so we can't say one makes the other happen.
What’s the bottom line?
This study looked at people who had CT scans of their heart and checked if more calcium in the arteries meant more inflammation nearby.
How strong is this study?
The study used fancy heart scans to measure things, which is good, but we don't know how they picked the patients or if they checked for other health problems. That makes it harder to trust that the results aren't just a coincidence.
0 / 100
- COI disclosureconflicts of interest not disclosed
- Data availabilitydata not shared
- Code availabilitycode not shared
14 / 100
- Randomizationrandomization unclear
- Blindingblinding unclear
- Control groupno control group
- Sample size (n=169)+11.4/20
- Follow-upno follow-up reported
100 / 100
23 / 100
- P-values+15/15
- Effect sizeno effect size reported
- Confidence intervalsno confidence intervals
- 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 531 / 100
Probability of being correct
Snapshots of a population at a single point in time, or descriptions of small groups. Can identify correlations and prevalence, but cannot determine cause and effect.
This design cannot establish causation — the findings describe an association, not a cause. This is a cross-sectional study with no randomization, control group, or temporal sequence established. It measures associations at a single point in time and cannot determine if coronary calcium causes inflammation or vice versa.
No Conflicts
No conflicts of interest identified
No conflicts identified
Funders
Conflict Details
European Union and Government of Romania: Funded through public research grant Intel-FAT (PN-III-P4-ID-PCE-2020-2861)
Funding is entirely public and governmental; no industry ties, author affiliations with commercial entities, or evidence of funder influence on study conduct or reporting were identified.
Key takeaways
- 01
People with high calcium scores had 22.88 average CaRI Heart Risk vs 15.95 in low-calcium group.
- 02
Right artery inflammation was 17.95 vs 11.47 in left artery for high-calcium group.
- 03
Yes — higher calcium and uneven inflammation on the right side may mean worse heart disease risk.
Surprising findings
- High coronary calcium scores showed no significant link to overall epicardial fat inflammation (FAI score p=0.7), yet were strongly linked to a composite risk score (CaRI Heart Risk p=0.0004).It’s assumed that calcium and inflammation go hand-in-hand — but here, calcium is tied to risk without being tied to inflammation levels, suggesting another mechanism is at play.
- Inflammation was significantly higher in the right coronary artery than the left — but only in high-CCS patients.No prior research highlights this right-side dominance in coronary inflammation — it’s a new, spatial pattern tied to calcification that could reshape how we map heart disease risk.
Practical takeaways
If you’ve had a CCTA scan with high calcium, ask your doctor for your CaRI Heart Risk score — it may be a better indicator of your true risk than calcium alone.
This study only looked at 169 patients with no follow-up; the CaRI score is still experimental and not widely available.
low confidenceWhy this study matters
Right Artery Inflammation Dominates
In patients with high coronary calcium scores (CCS >130), inflammation in the right coronary artery (RCA) was 17.95 on the FAI scale, compared to just 11.47 in the left coronary artery (LCA) — a statistically significant difference (p=0.002). This asymmetry was not seen in patients with low CCS.
Most people assume heart inflammation is evenly spread — but this suggests the right side might be a hidden hotspot for risk, which could change how doctors monitor and treat heart disease.
Calcium Doesn't Always Mean More Inflammation
Despite high CCS patients having significantly higher CaRI Heart Risk scores (22.88 vs. 15.95, p=0.0004), their average FAI inflammation score was nearly identical to low-CCS patients (12.37 vs. 11.65, p=0.7).
This flips the script: more calcium doesn’t mean more inflammation overall — but it does mean more risk, suggesting the CaRI score (which combines inflammation and plaque type) might be a better predictor than either marker alone.
The CaRI Heart Risk Mystery
High-CCS patients had a 43% higher CaRI Heart Risk score (22.88 vs. 15.95) — even though their FAI inflammation and Duke scores weren’t significantly different. CaRI combines inflammation (FAI) with plaque shape from CT scans.
This implies that plaque structure — not just inflammation — might be the missing link between calcium and risk. It’s not just how inflamed you are, but what your plaques look like.
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
This study looked at people who had CT scans of their heart and checked if more calcium in the arteries meant more inflammation nearby.
Research results
People with high calcium scores had 22.88 average CaRI Heart Risk vs 15.95 in low-calcium group. Right artery inflammation was 17.95 vs 11.47 in left artery for high-calcium group.
What this means - more context
Yes — higher calcium and uneven inflammation on the right side may mean worse heart disease risk.
The study aimed to assess the correlation between coronary calcium score (CCS) and FAI index of epicardial fat inflammation as measured by CCTA.
Patients with high CCS (>130) showed higher FAI scores and significantly higher CaRI Heart Risk scores compared to those with low CCS (<130). In high-CCS patients, right coronary artery inflammation was significantly higher than left coronary artery inflammation, a pattern not seen in low-CCS patients.
Methods Used
169 patients undergoing CCTA were divided into two groups by CCS (<130 or >130). FAI index of coronary inflammation was calculated for each coronary artery. Global cardiovascular risk was assessed using Duke score and CaRI Heart Risk score.
Main Finding
High CCS was not significantly associated with FAI score (p=0.7) or Duke score (p=ns), but was significantly associated with higher CaRI Heart Risk (p=0.0004). In high-CCS patients, RCA inflammation was significantly higher than LCA inflammation (p=0.002); no such asymmetry was found in low-CCS patients.
Confidence Level
Limited - based on abstract only, full methodology not available
Study Flags
Red Flags
- •Full text not available - methodology details cannot be verified
- •No effect sizes or confidence intervals reported for primary comparisons
- •P-value for main FAI comparison was non-significant (p=0.7) yet conclusion emphasizes association
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
High coronary calcium scores showed no significant link to overall epicardial fat inflammation (FAI score p=0.7), yet were strongly linked to a composite risk score (CaRI Heart Risk p=0.0004).
It’s assumed that calcium and inflammation go hand-in-hand — but here, calcium is tied to risk without being tied to inflammation levels, suggesting another mechanism is at play.
Practical Takeaways
If you’ve had a CCTA scan with high calcium, ask your doctor for your CaRI Heart Risk score — it may be a better indicator of your true risk than calcium alone.
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 531 / 100
Probability of being correct
Snapshots of a population at a single point in time, or descriptions of small groups. Can identify correlations and prevalence, but cannot determine cause and effect.
Human Cross-Sectional
Subject
Lower probability
on the GRADE evidence scale
This study looked at two things in people's hearts—calcium buildup and fat inflammation—and found they sometimes happened together. But it didn't watch people over time or change anything, so we can't say one makes the other happen.
No conflicts of interest were detected in this study. No score impact.
Strengths
- Uses validated quantitative imaging metrics (CCS and FAI)
- Reports statistical significance for key associations
- Analyzes regional variation in inflammation, adding nuance to findings
Weaknesses
- Full methodology not available - based on abstract only
- Cross-sectional design cannot establish temporal sequence or causality
- No control for confounders (e.g., age, diabetes, smoking) reported
Methodology
Evidence Keywords
Statistical Reporting
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
This study looked at people who had CT scans of their heart and checked if more calcium in the arteries meant more inflammation nearby.
Research results
People with high calcium scores had 22.88 average CaRI Heart Risk vs 15.95 in low-calcium group. Right artery inflammation was 17.95 vs 11.47 in left artery for high-calcium group.
What this means - more context
Yes — higher calcium and uneven inflammation on the right side may mean worse heart disease risk.
The study aimed to assess the correlation between coronary calcium score (CCS) and FAI index of epicardial fat inflammation as measured by CCTA.
Patients with high CCS (>130) showed higher FAI scores and significantly higher CaRI Heart Risk scores compared to those with low CCS (<130). In high-CCS patients, right coronary artery inflammation was significantly higher than left coronary artery inflammation, a pattern not seen in low-CCS patients.
Methods Used
169 patients undergoing CCTA were divided into two groups by CCS (<130 or >130). FAI index of coronary inflammation was calculated for each coronary artery. Global cardiovascular risk was assessed using Duke score and CaRI Heart Risk score.
Main Finding
High CCS was not significantly associated with FAI score (p=0.7) or Duke score (p=ns), but was significantly associated with higher CaRI Heart Risk (p=0.0004). In high-CCS patients, RCA inflammation was significantly higher than LCA inflammation (p=0.002); no such asymmetry was found in low-CCS patients.
Confidence Level
Limited - based on abstract only, full methodology not available
Study Flags
Red Flags
- •Full text not available - methodology details cannot be verified
- •No effect sizes or confidence intervals reported for primary comparisons
- •P-value for main FAI comparison was non-significant (p=0.7) yet conclusion emphasizes association
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
High coronary calcium scores showed no significant link to overall epicardial fat inflammation (FAI score p=0.7), yet were strongly linked to a composite risk score (CaRI Heart Risk p=0.0004).
It’s assumed that calcium and inflammation go hand-in-hand — but here, calcium is tied to risk without being tied to inflammation levels, suggesting another mechanism is at play.
Practical Takeaways
If you’ve had a CCTA scan with high calcium, ask your doctor for your CaRI Heart Risk score — it may be a better indicator of your true risk than calcium alone.
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 531 / 100
Probability of being correct
Snapshots of a population at a single point in time, or descriptions of small groups. Can identify correlations and prevalence, but cannot determine cause and effect.
Human Cross-Sectional
Subject
Lower probability
on the GRADE evidence scale
This study looked at two things in people's hearts—calcium buildup and fat inflammation—and found they sometimes happened together. But it didn't watch people over time or change anything, so we can't say one makes the other happen.
No conflicts of interest were detected in this study. No score impact.
Strengths
- Uses validated quantitative imaging metrics (CCS and FAI)
- Reports statistical significance for key associations
- Analyzes regional variation in inflammation, adding nuance to findings
Weaknesses
- Full methodology not available - based on abstract only
- Cross-sectional design cannot establish temporal sequence or causality
- No control for confounders (e.g., age, diabetes, smoking) reported
Methodology
Evidence Keywords
Statistical Reporting
Scoring
How strong is this study?
The study used fancy heart scans to measure things, which is good, but we don't know how they picked the patients or if they checked for other health problems. That makes it harder to trust that the results aren't just a coincidence.
0 / 100
- COI disclosureconflicts of interest not disclosed
- Data availabilitydata not shared
- Code availabilitycode not shared
14 / 100
- Randomizationrandomization unclear
- Blindingblinding unclear
- Control groupno control group
- Sample size (n=169)+11.4/20
- Follow-upno follow-up reported
100 / 100
23 / 100
- P-values+15/15
- Effect sizeno effect size reported
- Confidence intervalsno confidence intervals
- 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 531 / 100
Probability of being correct
Snapshots of a population at a single point in time, or descriptions of small groups. Can identify correlations and prevalence, but cannot determine cause and effect.
This design cannot establish causation — the findings describe an association, not a cause. This is a cross-sectional study with no randomization, control group, or temporal sequence established. It measures associations at a single point in time and cannot determine if coronary calcium causes inflammation or vice versa.
No Conflicts
No conflicts of interest identified
No conflicts identified
Funders
Conflict Details
European Union and Government of Romania: Funded through public research grant Intel-FAT (PN-III-P4-ID-PCE-2020-2861)
Funding is entirely public and governmental; no industry ties, author affiliations with commercial entities, or evidence of funder influence on study conduct or reporting were identified.
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.
- Strong evidence
At least some randomized or controlled trials support this claim.
Evidence
Authored by
10 researchersIf this is your work, this is how we attribute it on Fit Body Science. A Roşca is listed as the lead author.
- Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș
Cited in 3 claims
- Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș
Cited in 2 claims
- Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș
Cited in 3 claims