Evidence map›Paper›PMID 38879455›Full record

ArticleJournal of the American Heart Association2024

Machine Learning-Based Critical Congenital Heart Disease Screening Using Dual-Site Pulse Oximetry Measurements.

Heather Siefkes, Luca Cerny Oliveira, Robert Koppel, Whitnee Hogan, Meena Garg, Erlinda Manalo, Nicole Cresalia, Zhengfeng Lai, Daniel Tancredi, Satyan Lakshminrusimha and 1 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04056104 (Improving Critical Congenital Heart Disease Screening With Addition of Perfusion Measurements), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT04056104 nacompletednot on this map

Improving Critical Congenital Heart Disease Screening With Addition of Perfusion Measurements

TypeinterventionalSponsorUniversity of California, DavisRan2019 to 2021Enrolled543ConditionsCongenital Heart DiseaseArmsSpO2 and PIx Measurement
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Principles of Artificial Intellgence for Medicine.Journal of the American Heart Association · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Heather SiefkesDepartment of Pediatrics University of California Davis CA.ORCID 0000-0003-3325-2821
Luca Cerny OliveiraDepartment of Electrical & Computer Engineering University of California Davis CA.ORCID 0000-0003-2787-1685
Robert KoppelDepartment of Pediatrics, Cohen Children's Medical Center Zucker School of Medicine at Hofstra/Northwell New Hyde Park NY.ORCID 0000-0001-7444-4438
Whitnee HoganUniversity of Utah, Primary Children's Hospital Salt Lake City UT.
Meena GargDepartment of Pediatrics University of California Los Angeles CA.
Erlinda ManaloDepartment of Pediatrics Sutter Sacramento Medical Center Sacramento CA.ORCID 0009-0007-9449-4417
Nicole CresaliaDepartment of Pediatrics University of California San Francisco CA.ORCID 0000-0003-0467-8962
Zhengfeng LaiDepartment of Electrical & Computer Engineering University of California Davis CA.ORCID 0000-0002-2984-7913
Daniel TancrediDepartment of Pediatrics University of California Davis CA.ORCID 0000-0002-3884-7907
Satyan LakshminrusimhaDepartment of Pediatrics University of California Davis CA.ORCID 0000-0001-6098-2155
Chen-Nee ChuahDepartment of Electrical & Computer Engineering University of California Davis CA.ORCID 0000-0002-2772-387X

Funding

Institutional Career Development Core (KL2)KL2TR001859 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HOLMES, JAMES F. · 2016 to 2025
$10.1M
Improving Critical Congenital Heart Disease Screening and Detection of "Secondary" TargetsR21HD099239 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SIEFKES, HEATHER M · 2019 to 2020
$433k
NCATS NIH HHS KL2 TR001859NICHD NIH HHS R21 HD099239
6 · The paper itself

Abstract

backgroundOxygen saturation (Spo METHODS AND

resultsSix sites prospectively enrolled newborns with and without CCHD and recorded simultaneous pre- and postductal pulse oximetry. We focused on models at 1 versus 2 time points and with/without pulse delay for our ML algorithms. The sensitivity, specificity, and area under the receiver operating characteristic curve were compared between the Spo

conclusionsML pulse oximetry that combines oxygenation, perfusion data, and pulse delay at 2 time points may improve detection of CCHD and CoA within 48 hours after birth. REGISTRATION: URL: https://www.clinicaltrials.gov/study/NCT04056104?term=NCT04056104&rank=1; Unique identifier: NCT04056104.

Indexed as

Heart Defects, CongenitalMachine LearningNeonatal ScreeningOximetryOxygen SaturationAlgorithmsFemaleHumansInfant, NewbornMalePredictive Value of TestsProspective StudiesROC Curvecritical congenital heart diseasemachine learningpulse oximetry

Identifiers

PMID38879455
PMCPMC11255767

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.