Evidence map›Paper›PMID 36540187›Full record

ReviewAnnals of nuclear cardiology2022

Relationship Among Coronary Artery Calcium Score, Myocardial Perfusion SPECT and Risk Stratification of Coronary Artery Disease.

Yasuyuki Suzuki, Naoya Matsumoto, Shonosuke Sugai, Ayano Makita, Tetsuro Yumikura, Shunichi Yoda, Yasuo Amano, Yasuo Okumura

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Annals of nuclear cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yasuyuki SuzukiDepartment of Cardiology, Nihon University Hospital, Tokyo, Japan.
Naoya MatsumotoDepartment of Cardiology, Nihon University Hospital, Tokyo, Japan.
Shonosuke SugaiDepartment of Cardiology, Kawaguchi Municipal Medical Center, Saitama, Japan.
Ayano MakitaDepartment of Cardiology, Nihon University Hospital, Tokyo, Japan.
Tetsuro YumikuraDepartment of Cardiology, Nihon University Hospital, Tokyo, Japan.
Shunichi YodaDepartment of Radiology, Nihon University Hospital, Tokyo, Japan.
Yasuo AmanoDivision of Cardiology, Department of Medicine, Nihon University, Tokyo, Japan.
Yasuo OkumuraDepartment of Radiology, Nihon University Hospital, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since Agatston et al. first reported quantification of the coronary artery calcification score (CACS) in 1990, discussion of its clinical significance and use in diagnostic management has continued. Recent papers have reported the relationship between CACS and myocardial perfusion single photon emission computed tomography (SPECT: MPS) and its combined diagnostic value. When interpreting CACS results, it should be noted that the frequency of significant ischemia detected by MPS, likelihood of coronary artery disease (CAD), and event rate gradually increased from mild to moderate CACS (1-400). At present, high CACS is considered to be moderately consistent with abnormal MPS, and abnormal CACS in normal MPS may contribute to CAD risk stratification. However, it should be noted that CACS=0 does not completely exclude CAD, which is particularly important when using CACS as a gatekeeper for MPS. Both stand-alone computed tomography (CT) scanner and hybrid SPECT-CT scanner are available for combined risk stratification of CACS and MPS in addition to improvement of image quality with attenuation correction.

Indexed as

Coronary artery calcium scoreCoronary artery diseaseHybrid SPECT-CTMyocardial perfusion single photon emission computed tomographyRisk stratification

Identifiers

PMID36540187
PMCPMC9749747

What OpenQuestion holds

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Registered trials

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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.