Evidence map›Paper›PMID 36698954›Full record

ArticleFrontiers in cardiovascular medicine2022

Evaluation of the aorta in infants with simple or complex coarctation of the aorta using CT angiography.

Hui-Jun Xiao, A-Lai Zhan, Qing-Wen Huang, Rui-Gang Huang, Wei-Hua Lin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 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
0.2field-weighted citation impact, top 47% 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, 1 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

5 authors at 2 institutions in 1 country.

Hui-Jun XiaoDepartment of Radiology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China.
A-Lai ZhanDepartment of Radiology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China.
Qing-Wen HuangDepartment of Radiology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China.
Rui-Gang HuangDepartment of Radiology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China.
Wei-Hua LinDepartment of Radiology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China.
Fujian Medical University · CNZhangzhou Municipal Hospital of Fujian Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess aortic dilatation and determine its related factors in infants with coarctation of the aorta (CoA) by using computed tomography angiography (CTA). Methods: The clinical data of 55 infantile patients with CoA diagnosed by CTA were analyzed retrospectively. Aortic diameters were measured at six different levels and standardized as Z scores based on the square root of body surface area. The results of simple and complex CoA were compared. Univariate and multivariate logistic regression were used to analyze the effects of sex, age, hypertension, degree of coarctation, CoA type, bicuspid aortic valve (BAV), and other factors related to aortic dilatation. Results: In total, 52 infant patients with CoA were analyzed, including 22 cases of simple CoA and 30 cases of complex CoA. The ascending aorta of the infants in the simple CoA group and the complex CoA group were dilated to different degrees, but the difference was not statistically significant (50.00% vs. 73.33%, Conclusion: Infants with simple or complex CoA are at risk of ascending aortic dilatation, and the factors of ascending aortic dilatation depend on the degree of coarctation. The risk of aortic dilatation in infants with CoA can be identified by CTA.

Indexed as

aortic dilatationCoACTAdiagnosisinfant

Identifiers

PMID36698954
PMCPMC9868234
OpenAlexW4313895186

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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.