Evidence map›Paper›PMID 40062436›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2025

Long-term follow-up of children who received rapid genomic sequencing.

Erica Sanford Kobayashi, Laura E Tobin, Madison Arenchild, Wendy Benson, Nicole G Coufal, Edwin F Juarez, Stephen F Kingsmore, Jason Knight, Jerica Lenberg, Adam Schwarz and 3 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

13 authors.

Erica Sanford KobayashiRady Children's Institute for Genomic Medicine, San Diego, CA; Division of Critical Care, Department of Pediatrics, Children's Hospital Orange County, Orange, CA. Electronic address: esanford@rchsd.org.
Laura E TobinRady Children's Institute for Genomic Medicine, San Diego, CA.
Madison ArenchildRady Children's Institute for Genomic Medicine, San Diego, CA.
Wendy BensonRady Children's Institute for Genomic Medicine, San Diego, CA.
Nicole G CoufalRady Children's Institute for Genomic Medicine, San Diego, CA; Department of Pediatrics, University of California, San Diego, CA.
Edwin F JuarezRady Children's Institute for Genomic Medicine, San Diego, CA.
Stephen F KingsmoreRady Children's Institute for Genomic Medicine, San Diego, CA.
Jason KnightDivision of Critical Care, Department of Pediatrics, Children's Hospital Orange County, Orange, CA.
Jerica LenbergRady Children's Institute for Genomic Medicine, San Diego, CA.
Adam SchwarzDivision of Critical Care, Department of Pediatrics, Children's Hospital Orange County, Orange, CA.
Ofelia Vargas-ShiraishiDivision of Critical Care, Department of Pediatrics, Children's Hospital Orange County, Orange, CA.
Kristen WigbyRady Children's Institute for Genomic Medicine, San Diego, CA; Department of Pediatrics, University of California, San Diego, CA.
Matthew BainbridgeRady Children's Institute for Genomic Medicine, San Diego, CA.

Funding

Oligogenic Models of CardiomyopathyR01HL145175 · NHLBI · RADY PEDIATRIC GENOMICS & SYSTEMS MEDICINE INSTITUTE · PI BAINBRIDGE, MATTHEW NEIL · 2019 to 2022
$3.0M
NHLBI NIH HHS R01 HL145175
6 · The paper itself

Abstract

purposeTo explore long-term trajectories of children who received rapid genome sequencing (RGS) in intensive care settings.

methodsWe examined the electronic health records of 67 critically ill pediatric patients who received RGS 6 to 8 years ago with a collective initial diagnostic yield of 46%.

resultsThe median length of follow-up was 6.2 years (interquartile range 4.0-7.2 years). RGS-diagnosed patients had a longer average follow-up time compared with undiagnosed patients (5.9 years vs 4.8 years, P = .026) and more subspecialty appointments per follow-up year (9.4 vs 6.9, P = .036). Mortality during the follow-up period was 9%. Patients averaged 2.1 hospital readmissions per follow-up year and 28.1 hospitalized days per follow-up year. Forty-four patients (66%) had a documented new phenotype in the electronic health records during their follow-up period. Seven patients received clinician-driven reanalysis during the follow-up period, yielding 1 new diagnosis. Systematic reanalysis of RGS performed as part of this study identified 4 new candidate diagnoses.

conclusionPediatric patients who receive RGS during intensive care unit hospitalizations continue to be high health care utilizers in subsequent years, regardless of whether RGS identified a diagnosis. Additionally, two-thirds of this cohort had a documented phenotypic change over the follow-up period, indicating dynamic clinical evolution in the years after RGS.

Indexed as

GenomicsWhole Genome SequencingAdolescentChildChild, PreschoolCritical IllnessElectronic Health RecordsFemaleFollow-Up StudiesGenetic TestingHumansInfantInfant, NewbornMaleGenomic sequencingRapid genome sequencing

Identifiers

PMID40062436
PMCPMC12183672

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Registered trials

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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.