Evidence map›Paper›PMID 37055213›Full record

ArticleBMJ open2023

Ambulatory antenatal fetal electrocardiography in high-risk pregnancies (AMBER): protocol for a pilot prospective cohort study.

Becky Liu, Emily Marler, Basky Thilaganathan, Amarnath Bhide

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04941534 (AMBulatory Fetal ECG Monitoring in High Risk Pregnancies), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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.

NCT04941534 completednot on this map

AMBulatory Fetal ECG Monitoring in High Risk Pregnancies

TypeobservationalSponsorBiorithm Pte LtdRan2021 to 2022Enrolled100ConditionsPregnancy
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Observational
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

4 authors at 2 institutions in 1 country.

Becky LiuFetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, UK.ORCID 0000-0002-4968-8294
Emily MarlerFetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, UK.
Basky ThilaganathanFetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, UK.
Amarnath BhideFetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, UK abhide@sgul.ac.uk.
St George's, University of London · GBSt George’s University Hospitals NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFetal heart rate (FHR) monitoring is a vital aspect of fetal well-being assessment, and the current method of computerised cardiotocography (cCTG) is limited to the hospital setting. Non-invasive fetal ECG (NIFECG) has the ability to produce FHR patterns through R wave detection while eliminating confusion with maternal heart rate, but is presently limited to research use. Femom is a novel wireless NIFECG device that is designed to be placed without professional assistance, while connecting to mobile applications. It has the ability to achieve home FHR monitoring thereby allowing more frequent monitoring, earlier detection of deterioration, while reducing hospital attendances. This study aims to assess the feasibility, reliability, and accuracy of femom (NIFECG) by comparing its outputs to cCTG monitoring. METHODS AND ANALYSIS: This is a single-centred, prospective pilot study, taking place in a tertiary maternity unit. Women with a singleton pregnancy over 28 ETHICS AND DISSEMINATION: Approval has been obtained from South-East Scotland Research Ethics Committee 02 and MHRA. The results of this study will be published in peer-reviewed journals, and presented at international conferences. TRIAL REGISTRATION NUMBER: NCT04941534.

Indexed as

CardiotocographyPregnancy, High-RiskElectrocardiographyFemaleHeart Rate, FetalHumansPilot ProjectsPregnancyProspective StudiesReproducibility of ResultsFetal medicineOBSTETRICSPrenatal diagnosis

Identifiers

PMID37055213
PMCPMC10106038
OpenAlexW4365456904

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.