Evidence map›Paper›PMID 35795603›Full record

ArticleRadiologia brasileira

Clinical experience regarding the diagnostic value of segment-by-segment coronary computed tomography angiography in comparison with that of invasive coronary angiography.

Rafael Mansur Souto, Alair Augusto Sarmet Moreira Damas Dos Santos, Marcelo Souto Nacif

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Rafael Mansur SoutoHospital Universitário Antônio Pedro - Universidade Federal Fluminense (HUAP-UFF), Niterói, RJ, Brazil.ORCID https://orcid.org/0000-0003-3483-8402
Alair Augusto Sarmet Moreira Damas Dos SantosHospital Universitário Antônio Pedro - Universidade Federal Fluminense (HUAP-UFF), Niterói, RJ, Brazil.ORCID https://orcid.org/0000-0002-8640-3657
Marcelo Souto NacifHospital Universitário Antônio Pedro - Universidade Federal Fluminense (HUAP-UFF), Niterói, RJ, Brazil.ORCID https://orcid.org/0000-0003-2791-8375
Universidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare the degree of coronary stenosis (≥ 50% luminal narrowing) determined by coronary computed tomography angiography (CCTA) with that determined by invasive coronary angiography (ICA), using segment-by-segment analysis. Materials and Methods: This was a retrospective study of the records of patients who underwent CCTA and ICA between January 2014 and June 2018 at a general hospital in Brazil. Receiver operating characteristic curve analysis was applied, and the areas under the curve were used in order to assess the overall accuracy of the methods. Results: The degree of coronary stenosis was evaluated in a total of 844 arterial segments. The diagnostic performance of CCTA was good, with a sensitivity of 82.3%, a specificity of 96.4%, and a negative predictive value of 97.7% (95% CI: 96.5-98.5). In the segment-by-segment analysis, CCTA had excellent accuracy for the left main coronary artery and for other segments. Conclusion: In clinical practice at general hospitals, CCTA appears to have diagnostic performance comparable to that of ICA.

Indexed as

Coronary angiography/methodsCoronary artery disease/diagnostic imagingMultidetector computed tomography

Identifiers

PMID35795603
PMCPMC9254710
OpenAlexW4225290957

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.