Evidence map›Paper›PMID 28186000›Full record

ReviewPhysiological measurement2017

Monitoring fetal maturation-objectives, techniques and indices of autonomic function.

Dirk Hoyer, Jan Żebrowski, Dirk Cysarz, Hernâni Gonçalves, Adelina Pytlik, Célia Amorim-Costa, João Bernardes, Diogo Ayres-de-Campos, Otto W Witte, Ekkehard Schleußner and 12 more

Open access · greenAbstract readReview
In one paragraph

Review in Physiological measurement, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
10.6field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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  16. A deep learning mixed-data type approach for the classification of FHR signals.Frontiers in bioengineering and biotechnology · 2022
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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

22 authors at 14 institutions in 7 countries.

Dirk HoyerHans Berger Department of Neurology, Biomagnetic Center, Jena University Hospital, Jena 07747, Germany.
Jan ŻebrowskiCardiovascular Physics Group, Complex Systems Division, Faculty of Physics, Warsaw University of Technology, 00-662 Warszawa, Poland.
Dirk CysarzIntegrated Curriculum for Anthroposophic Medicine and Institute of Integrative Medicine, University of Witten/Herdecke, Herdecke 58313, Germany.
Hernâni GonçalvesCINTESIS, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
Adelina PytlikHans Berger Department of Neurology, Biomagnetic Center, Jena University Hospital, Jena 07747, Germany.
Célia Amorim-CostaCINTESIS, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
João BernardesCINTESIS, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
Diogo Ayres-de-CamposDepartment of Obstetrics and Gynecology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
Otto W WitteHans Berger Department of Neurology, Biomagnetic Center, Jena University Hospital, Jena 07747, Germany.
Ekkehard SchleußnerDepartment of Obstetrics, Jena University Hospital, Jena 07747, Germany.
Lisa StrouxDepartment of Engineering Science, University of Oxford, Institute of Biomedical Engineering, Oxford, OX3 7DQ, United Kingdom.
Christopher RedmanNuffield Department of Obstetrics & Gynaecology, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom.
Antoniya GeorgievaNuffield Department of Obstetrics & Gynaecology, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom.
Stephen PayneDepartment of Engineering Science, University of Oxford, Institute of Biomedical Engineering, Oxford, OX3 7DQ, United Kingdom.
Gari CliffordDepartments of Biomedical Informatics and Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, United States of America.
Maria G SignoriniDepartment of Electronics, Information and Bioengineering-DEIB, Politecnico di Milano, Milano 20133, Italy.
Giovanni MagenesDepartment of Industrial and Information Engineering, Università di Pavia, Pavia 27100, Italy.
Fernando AndreottiInstitute of Biomedical Engineering, Faculty of Electrical and Computer Engineering, TU Dresden, Dresden 01069, Germany.
Hagen MalbergInstitute of Biomedical Engineering, Faculty of Electrical and Computer Engineering, TU Dresden, Dresden 01069, Germany.
Sebastian ZaunsederInstitute of Biomedical Engineering, Faculty of Electrical and Computer Engineering, TU Dresden, Dresden 01069, Germany.
Igor LakhnoKharkiv VN Karazin National University, Kharkiv 61022, Ukraine.
Uwe SchneiderDepartment of Obstetrics, Jena University Hospital, Jena 07747, Germany.
Jena University Hospital · DETU Dresden · DEUniversity of Oxford · GBCentre for Health Technology and Services Research · PTEmory University · USHospital de São João · PTi3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto · PTJohn Radcliffe Hospital · GBPolitecnico di Milano · ITUniversidade do Porto · PTUniversity of Pavia · ITV. N. Karazin Kharkiv National University · UAWarsaw University of Technology · PLWitten/Herdecke University · DE

Funding

Mobile Health Intervention to Improve Perinatal Continuum of Care in GuatemalaR21HD084114 · NICHD · EMORY UNIVERSITY · PI CLIFFORD, GARI DAVID · 2015 to 2016
$374k
NICHD NIH HHS R21 HD084114
6 · The paper itself

Abstract

Monitoring the fetal behavior does not only have implications for acute care but also for identifying developmental disturbances that burden the entire later life. The concept, of 'fetal programming', also known as 'developmental origins of adult disease hypothesis', e.g. applies for cardiovascular, metabolic, hyperkinetic, cognitive disorders. Since the autonomic nervous system is involved in all of those systems, cardiac autonomic control may provide relevant functional diagnostic and prognostic information. The fetal heart rate patterns (HRP) are one of the few functional signals in the prenatal period that relate to autonomic control and, therefore, is predestinated for its evaluation. The development of sensitive markers of fetal maturation and its disturbances requires the consideration of physiological fundamentals, recording technology and HRP parameters of autonomic control. Based on the ESGCO2016 special session on monitoring the fetal maturation we herein report the most recent results on: (i) functional fetal autonomic brain age score (fABAS), Recurrence Quantitative Analysis and Binary Symbolic Dynamics of complex HRP resolve specific maturation periods, (ii) magnetocardiography (MCG) based fABAS was validated for cardiotocography (CTG), (iii) 30 min recordings are sufficient for obtaining episodes of high variability, important for intrauterine growth restriction (IUGR) detection in handheld Doppler, (iv) novel parameters from PRSA to identify Intra IUGR fetuses, (v) evaluation of fetal electrocardiographic (ECG) recordings, (vi) correlation between maternal and fetal HRV is disturbed in pre-eclampsia. The reported novel developments significantly extend the possibilities for the established CTG methodology. Novel HRP indices improve the accuracy of assessment due to their more appropriate consideration of complex autonomic processes across the recording technologies (CTG, handheld Doppler, MCG, ECG). The ultimate objective is their dissemination into routine practice and studies of fetal developmental disturbances with implications for programming of adult diseases.

Indexed as

Autonomic Nervous SystemElectrocardiographyFemaleFetal DevelopmentFetal MonitoringHeart Rate, FetalHumansPre-EclampsiaPregnancy

Identifiers

PMID28186000
PMCPMC5628752
OpenAlexW2586750328

What OpenQuestion holds

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Read underepoch 390

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.