Evidence map›Paper›PMID 34018638›Full record

ArticleEchocardiography (Mount Kisco, N.Y.)2021

Assessment of human fetal cardiac autonomic nervous system development using color tissue Doppler imaging.

Fleur Zwanenburg, Monique R M Jongbloed, Nan van Geloven, Arend D J Ten Harkel, Jan M M van Lith, Monique C Haak

Open access · hybridAbstract read
In one paragraph

Article in Echocardiography (Mount Kisco, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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  5. [Fetal electrocardiogram signal extraction and analysis method combining fast independent component analysis algorithm and convolutional neural network].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
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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

6 authors at 1 institution in 1 country.

Fleur ZwanenburgDepartment of Obstetrics and Prenatal Diagnosis, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-0043-8841
Monique R M JongbloedDepartment of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0002-9132-0418
Nan van GelovenDepartment of Biomedical Data Sciences, Section Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-5600-9093
Arend D J Ten HarkelDepartment of Pediatric Cardiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-3016-1086
Jan M M van LithDepartment of Obstetrics and Prenatal Diagnosis, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-4679-9028
Monique C HaakDepartment of Obstetrics and Prenatal Diagnosis, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-0443-1997
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFunctional development of the fetal cardiac autonomic nervous system (cANS) plays a key role in fetal maturation and can be assessed through fetal heart rate variability (fHRV)-analysis, with each HRV parameter representing different aspects of cANS activity. Current available techniques, however, are unable to assess the fHRV parameters accurately throughout the whole pregnancy. This study aims to test the feasibility of color tissue Doppler imaging (cTDI) as a new ultrasound technique for HRV analysis. Secondly, we explored time trends of fHRV parameters using this technique.

methods18 healthy singleton fetuses were examined sequentially every 8 weeks from 10 weeks GA onwards. From each examination, 3 cTDI recordings of the four-chamber view of 10 seconds were retrieved to determine accurate beat-to-beat intervals. The fHRV parameters SDNN, RMSSD, SDNN/RMSSD, and pNN10, each representing different functional aspects of the cANS, were measured, and time trends during pregnancy were explored using spline functions within a linear mixed-effects model.

resultsIn total, 77% (95% Cl 66-87%) of examinations were feasible for fHRV analysis from the first trimester onwards, which is a great improvement compared to other techniques. The technique is able to determine different maturation rates of the fHRV parameters, showing that cANS function, presumably parasympathetic activity, establishes around 20 weeks GA and matures rapidly until 30 weeks GA.

conclusionsThis is the first study able to assess cANS function through fHRV analysis from the first trimester onwards. The use of cTDI to determine beat-to-beat intervals seems feasible in just 3 clips of 10 seconds, which holds promise for future clinical use in assessing fetal well-being.

Indexed as

FetusHeart Rate, FetalAutonomic Nervous SystemFemaleHeartHumansPregnancyUltrasonography, Dopplercardiac autonomic nervous systemcolor tissue Doppler imagingfetal developmentheart rate variabilityUltrasound

Identifiers

PMID34018638
PMCPMC8252470
OpenAlexW3162862946

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.