Evidence map›Paper›PMID 32615554›Full record

ArticleFetal diagnosis and therapy2020

Noninvasive Fetal Electrocardiography in the Diagnosis of Long QT Syndrome: A Case Series.

Neeta Sethi, Kiyoe Funamoto, Catherine Ingbar, Paige Mass, Jeffrey Moak, Ronald Wakai, Janette Strasburger, Mary Donofrio, Ahsan Khandoker, Yoshitaka Kimura and 1 more

Open access · greenAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Fetal diagnosis and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Diagnosis and Management of Fetal Arrhythmias in the Current Era.Journal of cardiovascular development and disease · 2024
    Review
  4. Review
  5. Article
  6. 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

11 authors at 5 institutions in 3 countries.

Neeta SethiDivision of Cardiology, Children's National Hospital, Washington, District of Columbia, USA, neetajain100@gmail.com.
Kiyoe FunamotoDepartment of Advanced Interdisciplinary Biomedical Engineering, Tohoku University School of Medicine, Sendai-shi, Miyagi, Japan.
Catherine IngbarDivision of Cardiology, Children's National Hospital, Washington, District of Columbia, USA.
Paige MassSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, District of Columbia, USA.
Jeffrey MoakDivision of Cardiology, Children's National Hospital, Washington, District of Columbia, USA.
Ronald WakaiBiomagnetism Laboratory, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Janette StrasburgerDivision of Cardiology, Herma Heart Institute, Children's Hospital of Wisconsin, Milwaukee, Wisconsin, USA.
Mary DonofrioDivision of Cardiology, Children's National Hospital, Washington, District of Columbia, USA.
Ahsan KhandokerDepartment of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Yoshitaka KimuraDepartment of Advanced Interdisciplinary Biomedical Engineering, Tohoku University School of Medicine, Sendai-shi, Miyagi, Japan.
Anita KrishnanDivision of Cardiology, Children's National Hospital, Washington, District of Columbia, USA.
Children's National · USTohoku University · JPChildren's Hospital of Wisconsin · USKhalifa University of Science and Technology · AEUniversity of Wisconsin–Madison · US

Funding

Optimized Signal Processing of Fetal MCG R01HL063174 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI WAKAI, RONALD T · 1999 to 2020
$8.4M
ATOMIC MAGNETOMETER FOR FETAL BIOMAGNETISMR01HD057965 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI WALKER, THAD G · 2009 to 2017
$2.6M
Fetal Electrophysiologic Abnormalities in High-risk Pregnancies Associated with Fetal DemiseR01HL143485 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI STRASBURGER, JANETTE F · 2018 to 2021
$2.5M
NHLBI NIH HHS R01 HL063174NHLBI NIH HHS R01 HL143485NICHD NIH HHS R01 HD057965
6 · The paper itself

Abstract

introductionEarly detection and monitoring for malignant arrhythmias is fundamental to prenatal care in long QT syndrome (LQTS). Recently, we studied the feasibility of isolating the fetal electrocardiogram (fECG) and measuring electrocardiographic intervals with a noninvasive fECG device using blind source separation with reference signal. Our aim was to evaluate the ability of fECG to diagnose LQTS. CASE PRESENTATIONS: We identified 3 cases of clinically suspected LQTS based on fetal echocardiogram (2 had sinus bradycardia, 1 had second-degree atrioventricular block with negative maternal anti-SSA/SSB antibody titers). With institutional review board approval, these patients were prospectively enrolled for fECG acquisition. Offline post-processing generated fECG waveforms and calculated QT intervals. Case 1 and 3 had a maternal history of LQTS. Two of the three fetuses with suspected LQTS had confirmed LQTS by postnatal ECG and genetic testing. FECG was able to identify a prolonged corrected QT interval in both cases. One of these also had fetal magnetocardiography (fMCG), which yielded similar findings to the fECG. The third fetus had a normal fECG; fMCG and postnatal ECG were also normal.

conclusionsIn 3 cases, fECG findings corroborated the diagnosis of LQTS. Noninvasive fECG may offer a novel method for fECG that is portable and more clinically accessible.

Indexed as

AdultElectrocardiographyFemaleFetal HeartHeart Rate, FetalHumansLong QT SyndromeMagnetocardiographyPregnancyPrenatal CarePrenatal DiagnosisYoung AdultArrhythmiasCongenital long QT syndromeNoninvasive fetal electrocardiographyPrenatal diagnosis

Identifiers

PMID32615554
PMCPMC7483932
OpenAlexW3039196564

What OpenQuestion 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 OpenQuestion graph.