Evidence map›Paper›PMID 34065262›Full record

ArticleInternational journal of environmental research and public health2021

Use of Coronary Computed Tomography Angiography to Screen Hospital Employees with Cardiovascular Risk Factors.

Po-Yi Li, Ru-Yih Chen, Fu-Zong Wu, Guang-Yuan Mar, Ming-Ting Wu, Fu-Wei Wang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. 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, top 92% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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

6 authors at 1 institution in 1 country.

Po-Yi LiDepartment of Family Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan.ORCID 0000-0003-2580-5473
Ru-Yih ChenDepartment of Family Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan.ORCID 0000-0001-8019-4148
Fu-Zong WuDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan.
Guang-Yuan MarDivision of Cardiology, Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan.
Ming-Ting WuDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan.
Fu-Wei WangDepartment of Family Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan.
Kaohsiung Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to determine how coronary computed tomography angiography (CCTA) can be employed to detect coronary artery disease in hospital employees, enabling early treatment and minimizing damage. All employees of our hospital were assessed using the Framingham Risk Score. Those with a 10-year risk of myocardial infarction or death of >10% were offered CCTA; the Coronary Artery Disease Reporting and Data System (CAD-RADS) score was the outcome. A total of 3923 hospital employees were included, and the number who had received CCTA was 309. Among these 309, 31 (10.0%) had a CAD-RADS score of 3-5, with 10 of the 31 (32.3%) requiring further cardiac catheterization; 161 (52.1%) had a score of 1-2; and 117 (37.9%) had a score of 0. In the multivariate logistic regression, only age of ≥ 55 years (

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseComputed Tomography AngiographyCoronary AngiographyHeart Disease Risk FactorsHospitalsHumansMiddle AgedPredictive Value of TestsRisk Factorscoronary artery diseaseCoronary Artery Disease Reporting and Data System (CAD-RADS)coronary computed tomography angiography (CCTA)Framingham Risk Scorescreen

Identifiers

PMID34065262
PMCPMC8160889
OpenAlexW3165799464

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.