ReviewFrontiers in radiology2026
Coronary artery calcium scoring in 2026: strengths, limitations, and optimized clinical use.
Review in Frontiers in radiology, 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronary artery calcium (CAC) scoring on non-contrast ECG-gated CT remains a robust, reproducible marker of total coronary atherosclerotic burden with clear prognostic value and consistent risk reclassification beyond contemporary clinical calculators. Recent studies (2018-2026) reinforce the 'power of zero' for near-term risk de-escalation, identify very high CAC (≥1,000) as a distinct, very-high-risk phenotype, and, importantly, provide randomized evidence that CAC-guided treatment reduces plaque progression. Advances in artificial intelligence (AI), spectral CT, and standardized reporting (SCCT/STR; CAC-DRS) expand opportunities for automated and incidental CAC detection. This mini-review summarizes updated strengths, limitations, and practice guidance; synthesizes new evidence (2024-2026); and includes a practical clinical decision flowchart for the selective use of CAC in prevention pathways.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.