Evidence map›Paper›PMID 29540942›Full record

ArticleRadiologia brasileira

Detection of coronary artery calcification with nontriggered computed tomography of the chest.

Gustavo Lemos Pelandré, Nathália Martins Pereira Sanches, Marcelo Souto Nacif, Edson Marchiori

Open access · diamondAbstract read
In one paragraph

Article in Radiologia brasileira. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  4. Our Precious Calcium Score.Arquivos brasileiros de cardiologia · 2020
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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

4 authors at 3 institutions in 1 country.

Gustavo Lemos PelandréMD, Radiologist, Assistant Professor in the Department of Internal Medicine of the Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil.
Nathália Martins Pereira SanchesMedical Student at the Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil.
Marcelo Souto NacifAdjunct Professor in the Department of Radiology, School of Medicine, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.
Edson MarchioriFull Professor at the Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil.
Universidade Federal de Santa Catarina · BRUniversidade Federal do Rio de Janeiro · BRUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the accuracy of visual analysis and of the coronary artery calcium (CAC) score in nontriggered computed tomography (CT), in comparison with that of the CAC score in electrocardiogram-triggered CT, in identifying coronary calcification. MATERIALS AND

methodsA total of 174 patients for whom CT was indicated for CAC scoring underwent nontriggered and triggered CT in a 64-channel multislice scanner, in a single session without a change in position. The images were interpreted by a radiologist with seven years of experience in thoracic and cardiovascular radiology. The measurement of coronary calcium was carried out by three methods: CAC score with dedicated software in nontriggered CT, CAC score with dedicated software in triggered CT, and visual analysis without dedicated software in nontriggered CT.

resultsIn nontriggered CT, the CAC score presented an accuracy of 95.98% (95% CI: 91.93-98.04). The visual analysis showed an accuracy of 97.13% (95% CI: 93.45-98.77).

conclusionNontriggered CT showed excellent accuracy in the identification and exclusion of coronary calcification, either the CAC score was determined with dedicated software or through visual analysis.

Indexed as

Cardiovascular diseasesCoronary diseaseTomography, X-ray computed

Identifiers

PMID29540942
PMCPMC5844438
OpenAlexW2793793610

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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.