Evidence map›Paper›PMID 38863981›Full record

ArticleFrontiers in pharmacology2024

Quantifying fetal heart health in gestational diabetes: a new approach with fetal heart quantification technology.

Pengjie Zhang, Xinghui Fu, Lijuan Zhao, Lu Wang, Shuning Wu, Yanyan Liu, Jingliang Cheng, Shan Zhang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. 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

8 authors.

Pengjie Zhang *Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xinghui Fu *Henan Vocational College of Nursing, Anyang, Henan, China.
Lijuan ZhaoDepartment of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Lu WangDepartment of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Shuning WuDepartment of Ultrasound, Xinyang Traditional Chinese Medicine Hospital, Xinyang, Henan, China.
Yanyan LiuDepartment of Emergency, The Third People's Hospital of Zhengzhou, Zhengzhou, Henan, China.
Jingliang ChengDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Shan ZhangDepartment of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to assess the impact of gestational diabetes mellitus (GDM) on fetal heart structure and function using a technique called fetal heart quantification (Fetal HQ), with a focus on mitochondrial dynamics, which employs advanced imaging technology for comprehensive analysis. Methods: A total of 180 fetuses with normal heart structures, aged 24-40 weeks of gestation, were examined. A 2-3 s cine loop in the standard four-chamber oblique view was captured and analyzed using the speckle-tracking technique with Fetal HQ. Various echocardiographic parameters were evaluated, including four-chamber view (4CV), global spherical index (GSI), global longitudinal strain (GLS), 24-segment spherical index (SI), ventricular fractional area change (FAC), cardiac output (CO), and stroke volume (SV). These parameters were compared between the GDM group and the control group during two gestational periods: 24 Results: Twenty fetuses from mothers with GDM and 40 from the control group were recruited at 24 Conclusion: Our findings suggest that GDM is associated with decreased right ventricular function in the fetal heart, particularly during the later stages of pregnancy (28

Indexed as

cardiac functionechocardiographyfetal cardiac morphologyfetal heart quantificationgestational diabetes mellitus (GDM)

Identifiers

PMID38863981
PMCPMC11165031

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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.