Evidence map›Paper›PMID 27247499›Full record

ArticleJournal of Korean medical science2016

Role of Coronary Artery Calcium Scoring in Detection of Coronary Artery Disease according to Framingham Risk Score in Populations with Low to Intermediate Risks.

Won-Jang Kim, Chang Hee Kwon, Seungbong Han, Woo Seok Lee, Joon Won Kang, Jung-Min Ahn, Jong-Young Lee, Duk-Woo Park, Soo-Jin Kang, Seung-Whan Lee and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Won-Jang KimDepartment of Cardiology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea .ORCID 0000-0002-9915-3722
Chang Hee KwonDepartment of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .ORCID 0000-0001-8716-1146
Seungbong HanDepartment of Applied Statistics, Gachon University, Seongnam, Korea .ORCID 0000-0003-2938-8072
Woo Seok LeeDepartment of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .ORCID 0000-0003-0250-1266
Joon Won KangDepartment of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .ORCID 0000-0001-5756-3814
Jung-Min AhnDepartment of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .ORCID 0000-0003-4031-391X
Jong-Young LeeDepartment of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .ORCID 0000-0002-0092-9958
Duk-Woo ParkDepartment of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .ORCID 0000-0001-6643-0239
Soo-Jin KangDepartment of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .ORCID 0000-0003-1115-6097
Seung-Whan LeeDepartment of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .ORCID 0000-0002-9301-8183
Young-Hak KimDepartment of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .ORCID 0000-0002-5956-1254
Cheol Whan LeeDepartment of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .ORCID 0000-0002-9185-6669
Seong-Wook ParkDepartment of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .ORCID 0000-0001-7371-4336
Seung-Jung ParkDepartment of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .ORCID 0000-0002-9187-5405
Ulsan College · KRCHA University Bundang Medical Center · KRGachon University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current guidelines recommend that coronary artery calcium (CAC) screening should only be used for intermediate risk groups (Framingham risk score [FRS] of 10%-20%). The CAC distributions and coronary artery disease (CAD) prevalence in various FRS strata were determined. The benefit to lower risk populations of CAC score-based screening was also assessed. In total, 1,854 participants (aged 40-79 years) without history of CAD, stroke, or diabetes were enrolled. CAC scores of > 0, ≥ 100, and ≥ 300 were present in 33.8%, 8.2%, and 2.9% of the participants, respectively. The CAC scores rose significantly as the FRS grew more severe (P < 0.01). The total CAD prevalence was 6.1%. The occult CAD prevalence in the FRS ≤ 5%, 6%-10%, 11%-20%, and > 20% strata were 3.4%, 6.7%, 9.0%, and 11.6% (P < 0.001). In multivariate logistic regression analysis adjusting, not only the intermediate and high risk groups but also the low risk (FRS 6%-10%) group had significantly increased odds ratio for occult CAD compared to the very low-risk (FRS ≤ 5%) group (1.89 [95% confidence interval, CI, 1.09-3.29] in FRS 6%-10%; 2.48 [95% CI, 1.47-4.20] in FRS 11%-20%; and 3.10 [95% CI, 1.75-5.47] in FRS > 20%; P < 0.05). In conclusion, the yield of screening for significant CAC and occult CAD is low in the very low risk population but it rises in low and intermediate risk populations.

Indexed as

AgedCalciumCoronary Artery DiseaseCoronary VesselsFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPrevalenceRisk FactorsSeverity of Illness IndexTomography, X-Ray ComputedCalciumCoronary Artery Calcium ScoreCoronary Computed TomographyCoronary Computed Tomography AngiographyFramingham Risk Score

Identifiers

PMID27247499
PMCPMC4853669
OpenAlexW2340392878

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.