SynthesisReviews in cardiovascular medicine2026
Correlation Between Fat Attenuation Index and Major Adverse Cardiovascular Events: A Systematic Review and Meta-Analysis.
Synthesis in Reviews in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Numerous previous studies have examined the relationship between the fat attenuation index (FAI) and major adverse cardiovascular events (MACE), reporting inconsistent findings. Methods: We conducted a systematic search of four databases (PubMed, Embase, Web of Science, and the Cochrane Library) for cohort, case-control, and cross-sectional studies evaluating the association between FAI and MACE incidence. The outcomes were defined as the correlations between MACE and FAI, including total FAI, FAI of the right coronary artery (RCA), FAI of the left circumflex coronary artery (LCX), and FAI of the left anterior descending (LAD) artery. FAI was analyzed both as a continuous and categorical indicator. Two researchers determined the final inclusion of the literature based on the inclusion and exclusion criteria and completed the data extraction. Study quality was assessed using the Newcastle-Ottawa Scale (NOS). RevMan 5.4 was used to conduct heterogeneity tests, perform statistical pooling, and generate forest plots. Hazard ratios (HRs) were used to estimate the association between FAI and MACE risk. STATA16.0 (StataCorp LLC, College Station, TX, USA) was used to generate funnel plots, and the Egger test was applied to evaluate publication bias. Results: A total of 22 studies involving 10,224 participants were included: 17 cohort studies, 1 cross-sectional study, and 4 case-control studies. The meta-analysis results suggested that there was a significant correlation between MACE and total FAI (FAI as a categorical variable: HR = 2.77, 95% confidence interval (CI) = 2.22-3.46; Conclusion: The results of this meta-analysis show a significant association between FAI and MACE. Higher FAI values are associated with significantly higher risks of MACE. These results suggest that FAI may serve as an imaging indicator for predicting the risk of MACE. PROSPERO Registration: CRD420250652674, https://www.crd.york.ac.uk/PROSPERO/view/CRD420250652674.
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