Evidence map›Paper›PMID 39885315›Full record

ArticleNPJ digital medicine2025

A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit.

Edwin F Juarez, Bennet Peterson, Erica Sanford Kobayashi, Sheldon Gilmer, Laura E Tobin, Brandan Schultz, Jerica Lenberg, Jeanne Carroll, Shiyu Bai-Tong, Nathaly M Sweeney and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Edwin F JuarezRady Children's Institute for Genomic Medicine, San Diego, CA, USA. ejuarezrosales@rchsd.org.ORCID http://orcid.org/0000-0003-1062-3642
Bennet PetersonDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0001-7906-5146
Erica Sanford KobayashiRady Children's Institute for Genomic Medicine, San Diego, CA, USA.
Sheldon GilmerRady Children's Hospital San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-5295-1065
Laura E TobinRady Children's Institute for Genomic Medicine, San Diego, CA, USA.
Brandan SchultzRady Children's Institute for Genomic Medicine, San Diego, CA, USA.
Jerica LenbergRady Children's Institute for Genomic Medicine, San Diego, CA, USA.
Jeanne CarrollRady Children's Hospital San Diego, San Diego, CA, USA.
Shiyu Bai-TongRady Children's Hospital San Diego, San Diego, CA, USA.
Nathaly M SweeneyRady Children's Hospital San Diego, San Diego, CA, USA.
Curtis BeebeRady Children's Hospital San Diego, San Diego, CA, USA.
Lawrence StewartRady Children's Hospital San Diego, San Diego, CA, USA.
Lauren OlsenRady Children's Hospital San Diego, San Diego, CA, USA.
Julie ReinkeRady Children's Hospital San Diego, San Diego, CA, USA.
Elizabeth A KiernanRady Children's Hospital San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-1814-8017
Rebecca ReimersRady Children's Institute for Genomic Medicine, San Diego, CA, USA.
Kristen WigbyRady Children's Institute for Genomic Medicine, San Diego, CA, USA.
Chris TackaberryClinithink, London, UK.
Mark YandellDepartment of Human Genetics, Utah Center for Genetic Discovery, University of Utah, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0002-9497-4505
Charlotte HobbsRady Children's Institute for Genomic Medicine, San Diego, CA, USA.
Matthew N BainbridgeRady Children's Institute for Genomic Medicine, San Diego, CA, USA.

Funding

UNIVERSITY OF UTAH MEDICAL INFORMATICS TRAININGT15LM007124 · NLM · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Karen Louise Eilbeck · 1997 to 2026
$22.0M
CTSA K12 Program at The Scripps Research InstituteK12TR004410 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI Laura Nicholson, Athena Philis-Tsimikas · 2023 to 2026
$3.9M
Developing Diverse Physician-Investigator Leaders for the Future of Child HealthK12HD105271 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Gabriel G Haddad · 2021 to 2026
$1.8M
NCATS NIH HHS K12 TR004410NICHD NIH HHS K12 HD105271NLM NIH HHS T15 LM007124U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) K12TR004410
6 · The paper itself

Abstract

The Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the neonatal intensive care unit. After the MPSE was introduced, utilization of WGS increased, time to ordering WGS decreased, and WGS diagnostic yield increased.

Identifiers

PMID39885315
PMCPMC11782664

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.