Evidence map›Paper›PMID 42063945›Full record

ArticleJournal of medical ultrasound

Enhancing Prenatal Diagnosis of Obstructive Aortic Arch Abnormalities: Evaluating the Role of the Longitudinal Visualization Techniques.

Takashi Harada, Yoichi Mino, Keisuke Miyamoto, Fuminori Taniguchi

Abstract read
In one paragraph

Article in Journal of medical ultrasound. 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
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

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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.

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

4 authors.

Takashi HaradaDepartment of Obstetrics and Gynecology, Faculty of Medicine, Tottori University, Yonago, Japan.
Yoichi MinoDivision of Pediatrics and Perinatology, Faculty of Medicine, Tottori University, Yonago, Japan.
Keisuke MiyamotoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Tottori University, Yonago, Japan.
Fuminori TaniguchiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Tottori University, Yonago, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to evaluate whether visualization of the longitudinal plane of the fetal thoracic arch could enhance the diagnostic accuracy of obstructive aortic arch (AoA) abnormalities. Methods: This retrospective study was conducted at a perinatal center. Eleven newborns diagnosed with obstructive AoA abnormalities were examined, with a focus on fetal position during fetal echocardiography. Results: Fetal positions were grouped into positions 1 (insonating from the left dorsal side of the fetal spine) and 2 (difficulty insonating from the left dorsal side). Out of 33 fetuses positioned in the uterine cavity at position 1, six were diagnosed with obstructive AoA abnormalities after birth. Three newborns had a coarctation complex, which matched the fetal echocardiographic findings. Out of 51 fetuses positioned in the uterine cavity at position 2, five were diagnosed with obstructive AoA abnormalities after birth. Four newborns had obstructive AoA abnormalities inconsistent with prenatal diagnosis. The odds ratio of the visualization rates for the longitudinal plane of obstructive AoA from position 1 was 41.67 compared to position 2. Obstructive AoA abnormalities were more frequently diagnosed in position 1 (50%) than in position 2 (20%) during fetal echocardiography. Conclusion: When performing fetal echocardiography, scanning the patient from the left posterior side of the fetal spine parallel to the fetal transverse arch is helpful for visualizing fetal AoA morphologies. Prospective studies with large sample sizes are further needed to enhance the diagnostic rates of obstructive AoA abnormalities using fetal echocardiography.

Indexed as

Congenital heart diseasefetal echocardiographylongitudinal view of the aortic archobstructive aortic arch abnormalities

Identifiers

PMID42063945
PMCPMC13128078

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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.