Evidence mapPaperPMID 39971749Full record

ReviewBJOG : an international journal of obstetrics and gynaecology2025

Advancements in Fetal Heart Rate Monitoring: A Report on Opportunities and Strategic Initiatives for Better Intrapartum Care.

Aimée Lovers, Martin Daumer, Martin G Frasch, Austin Ugwumadu, Philip Warrick, Rik Vullings, Nicolò Pini, John Tolladay, Olav Bjørn Petersen, Christian Lederer and 7 more

Abstract readReview
In one paragraph

Review in BJOG : an international journal of obstetrics and gynaecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

17 authors.

Aimée LoversDepartment of Obstetrics and Gynaecology, Amsterdam UMC, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0001-9254-0108
Martin DaumerSchool of Computation, Information and Technology, Technische Universität München, Munich, Germany.
Martin G FraschDepartment of Obstetrics and Gynecology and Institute on Human Development and Disability, University of Washington, Seattle, Washington, USA.
Austin UgwumaduDepartment of Obstetrics & Gynecology, St. George's Hospital, University of London, UK.
Philip WarrickPeriGen Inc., Cary, North Carolina, USA.
Rik VullingsDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.ORCID https://orcid.org/0000-0002-2392-6098
Nicolò PiniDepartment of Psychiatry, Columbia University Irving Medical Center, New York, New York, USA.
John TolladayOxford Labour Monitoring Group, Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.
Olav Bjørn PetersenDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Christian LedererSchool of Computation, Information and Technology, Technische Universität München, Munich, Germany.
Liu YangElectrical and Computer Engineering, Stony Brook University, Stony Brook, New York, USA.
Petar M DjurićElectrical and Computer Engineering, Stony Brook University, Stony Brook, New York, USA.
Farhad AbtahiDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Malin HolzmannDepartment of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-2640-0753
Samuel BoudetFaculty of Medicine, Midwifery and Health Sciences, Lille Catholic University, Lille, France.
Agathe Houzé de l'AulnoitObstetrics Department, Saint Vincent de Paul Hospital, Lille Catholic University, Lille, France.
Antoniya GeorgievaOxford Labour Monitoring Group, Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.

Funding

Bill & Melinda Gates FoundationNational Institute for Health and Care Research NIHR202117National Institutes of Health (NIH) 1RO1HD097188-01NICHD NIH HHS R01 HD097188Novo Nordisk Foundation NNFSA170030576
6 · The paper itself

Abstract

Cardiotocography (CTG), introduced in the 1960s, was initially expected to prevent hypoxia-related deaths and neurological injuries. However, more than five decades later, evidence supporting the evidence of intrapartum CTG in preventing neonatal and long-term childhood morbidity and mortality remains inconclusive. At the same time, shortcomings in CTG interpretation have been recognised as important contributory factors to rising caesarean section rates and missed opportunities for timely interventions. An important limitation is its high false-positive rate and poor specificity, which undermines reliably identifying foetuses at risk of hypoxia-related injuries. These shortcomings are compounded by the technology's significant intra- and interobserver variability, as well as the subjective and complex nature of fetal heart rate interpretation. However, human factors and other environmental factors are equally significant. Advancements in fetal heart rate monitoring are crucial to support clinicians in improving health outcomes for newborns and their mothers, while at the same time avoiding unnecessary operative deliveries. These limitations highlight the clinical need to enhance neonatal outcomes while minimising unnecessary interventions, such as instrumental deliveries or caesarean sections. We believe that achieving this requires a paradigm shift from subjective interpretation of complex and nonspecific fetal heart rate patterns to evidence-based, quantifiable solutions that integrate hardware, engineering and clinical perspectives. Such transformation necessitates an international, multidisciplinary effort encompassing the entire continuum of pregnancy care and the broader healthcare ecosystem, with emphasis on well-defined, actionable health outcomes. Achieving this will depend on collaborations between researchers, clinicians, medical device manufacturers and other relevant stakeholders. This expert review paper outlines the most relevant and promising directions for research and strategic initiatives to address current challenges in fetal heart rate monitoring. Key themes include advancements in computerised fetal heart rate monitoring, the application of big data and artificial intelligence, innovations in home and remote monitoring and consideration of human factors.

Indexed as

CardiotocographyFetal MonitoringHeart Rate, FetalPerinatal CareCesarean SectionFemaleHumansInfant, NewbornPregnancybig datacardiotocographydeep learningelectronic fetal monitoringfetal (patho)physiologyhuman factorshypoxic‐ischaemic encephalopathyintrapartumremote monitoringsignal processing

Identifiers

PMID39971749
PMCPMC12051231

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.