Evidence map›Paper›PMID 36003493›Full record

ArticleFrontiers in pediatrics2022

Evaluation of biventricular longitudinal myocardial function in normal fetuses at different gestational ages using ultrasonic velocity vector imaging.

Min Hou, Liu Liu, Jun-Min Xie, Xiao-Jing Duan, Xiao-Lan Lv, Xiao-Qing Li, Qin Zhang

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 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
–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

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. 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

7 authors.

Min HouDepartment of Ultrasonography, Affiliated Hospital of Hebei University, Baoding, China.
Liu LiuDepartment of Ultrasonography, Baoding Maternal and Child Health Hospital, Baoding, China.
Jun-Min XieDepartment of Cardiology, Affiliated Hospital of Hebei University, Baoding, China.
Xiao-Jing DuanDepartment of Ultrasonography, Affiliated Hospital of Hebei University, Baoding, China.
Xiao-Lan LvDepartment of Ultrasonography, Affiliated Hospital of Hebei University, Baoding, China.
Xiao-Qing LiDepartment of Ultrasonography, Baoding No.1 Central Hospital, Baoding, China.
Qin ZhangDepartment of Ultrasonography, Gaoyang County Hospital, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate biventricular myocardial function and biventricular longitudinal global myocardial function of fetuses at different gestational weeks using ultrasonic velocity vector imaging. Methods: A total of 127 pregnant women were enrolled and divided into five groups according to the gestational age of their fetuses. The velocity, strain, and strain rate of the left and right ventricles were measured, and these biventricular parameters were compared between the groups. The global parameters of the biventricular myocardium were also compared. Results: A pairwise comparison revealed that the differences in biventricular velocity and strain rate between groups in adjacent gestational weeks were not statistically significant ( Conclusion: The peak velocities of the fetal left and right ventricles increased with gestational age, but the global strain and strain rate did not, suggesting that fetal myocardial function is mature and constant in the middle and late stages of pregnancy and can more reliably reflect myocardial deformation. The peak systolic velocity, global strain, and peak strain rate of the right ventricle were higher than those of the left ventricle, suggesting that the right ventricle dominates longitudinal systolic movement from the second trimester of pregnancy.

Indexed as

biventricular longitudinal myocardial functionfetusstrainstrain rateultrasonic velocity vector imaging

Identifiers

PMID36003493
PMCPMC9393517

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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.