Evidence map›Paper›PMID 34570182›Full record

Trial reportJAMA pediatrics2021

Effect of Whole-Genome Sequencing on the Clinical Management of Acutely Ill Infants With Suspected Genetic Disease: A Randomized Clinical Trial.

NICUSeq Study Group, Ian D Krantz, Livija Medne, Jamila M Weatherly, K Taylor Wild, Sawona Biswas, Batsal Devkota, Tiffiney Hartman, Luca Brunelli, Kristen P Fishler and 34 more

Erratum issued Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03290469 (NICUSeq), which is not on this map. Cited by 106 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 3 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.

NCT03290469 nacompletednot on this map

NICUSeq: A Prospective Trial to Evaluate the Clinical Utility of Human Whole Genome Sequencing (WGS) Compared to Standard of Care in Acute Care Neonates and Infants

TypeinterventionalSponsorIllumina, Inc.Ran2017 to 2020Enrolled355ConditionsRare DiseasesArmsclinical whole genome sequencing (cWGS)
3 · Its place in the literature

Who cites it

106 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Review
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  7. Observational
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  14. Quality improvement initiative to optimize use of rapid genomic sequencing in a level IV NICU.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
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  20. Toward Same-Day Genome Sequencing in the Critical Care Setting.The New England journal of medicine · 2025
    Article

46 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

44 authors.

NICUSeq Study Group
Ian D KrantzRoberts Individualized Medical Genetics Center, Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Livija MedneRoberts Individualized Medical Genetics Center, Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Jamila M WeatherlyRoberts Individualized Medical Genetics Center, Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
K Taylor WildRoberts Individualized Medical Genetics Center, Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Sawona BiswasRoberts Individualized Medical Genetics Center, Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Batsal DevkotaRoberts Individualized Medical Genetics Center, Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Tiffiney HartmanRoberts Individualized Medical Genetics Center, Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Luca BrunelliDivision of Neonatology, University of Utah School of Medicine, Salt Lake City.
Kristen P FishlerUniversity of Nebraska Medical Center, Children's Hospital & Medical Center, Omaha.
Omar Abdul-RahmanUniversity of Nebraska Medical Center, Children's Hospital & Medical Center, Omaha.
Joshua C EuteneuerUniversity of Nebraska Medical Center, Children's Hospital & Medical Center, Omaha.
Denise HooverUniversity of Nebraska Medical Center, Children's Hospital & Medical Center, Omaha.
David DimmockChildren's Hospital of Orange County, Orange, California.
John ClearyChildren's Hospital of Orange County, Orange, California.
Lauge FarnaesRady Children's Institute for Genomic Medicine, San Diego, California.
Jason KnightChildren's Hospital of Orange County, Orange, California.
Adam J SchwarzChildren's Hospital of Orange County, Orange, California.
Ofelia M Vargas-ShiraishiChildren's Hospital of Orange County, Orange, California.
Kristin WigbyRady Children's Institute for Genomic Medicine, San Diego, California.
Neda ZadehChildren's Hospital of Orange County, Orange, California.
Marwan ShinawiEdward Mallinckrodt Department of Pediatrics, Washington University School of Medicine in St Louis, St Louis, Missouri.
Jennifer A WambachEdward Mallinckrodt Department of Pediatrics, Washington University School of Medicine in St Louis, St Louis, Missouri.
Dustin BaldridgeEdward Mallinckrodt Department of Pediatrics, Washington University School of Medicine in St Louis, St Louis, Missouri.
F Sessions ColeEdward Mallinckrodt Department of Pediatrics, Washington University School of Medicine in St Louis, St Louis, Missouri.
Daniel J WegnerEdward Mallinckrodt Department of Pediatrics, Washington University School of Medicine in St Louis, St Louis, Missouri.
Nora UrracaDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis.
Shannon HoltropLe Bonheur Children's Hospital, Memphis, Tennessee.
Roya MostafaviLe Bonheur Children's Hospital, Memphis, Tennessee.
Henry J MroczkowskiDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis.
Eniko K PivnickDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis.
Jewell C WardDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis.
Ajay TalatiDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis.
Chester W BrownDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis.
John W BelmontIllumina Inc, San Diego, California.
Julia L OrtegaIllumina Inc, San Diego, California.
Keisha D RobinsonIllumina Inc, San Diego, California.
W Tyler BrocklehurstIllumina Inc, San Diego, California.
Denise L PerryIllumina Inc, San Diego, California.
Subramanian S AjayIllumina Inc, San Diego, California.
R Tanner HagelstromIllumina Inc, San Diego, California.
Maren BennettIllumina Inc, San Diego, California.
Vani RajanIllumina Inc, San Diego, California.
Ryan J TaftIllumina Inc, San Diego, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Whole-genome sequencing (WGS) shows promise as a first-line genetic test for acutely ill infants, but widespread adoption and implementation requires evidence of an effect on clinical management. Objective: To determine the effect of WGS on clinical management in a racially and ethnically diverse and geographically distributed population of acutely ill infants in the US. Design, Setting, and Participants: This randomized, time-delayed clinical trial enrolled participants from September 11, 2017, to April 30, 2019, with an observation period extending to July 2, 2019. The study was conducted at 5 US academic medical centers and affiliated children's hospitals. Participants included infants aged between 0 and 120 days who were admitted to an intensive care unit with a suspected genetic disease. Data were analyzed from January 14 to August 20, 2020. Interventions: Patients were randomized to receive clinical WGS results 15 days (early) or 60 days (delayed) after enrollment, with the observation period extending to 90 days. Usual care was continued throughout the study. Main Outcomes and Measures: The main outcome was the difference in the proportion of infants in the early and delayed groups who received a change of management (COM) 60 days after enrollment. Additional outcome measures included WGS diagnostic efficacy, within-group COM at 90 days, length of hospital stay, and mortality. Results: A total of 354 infants were randomized to the early (n = 176) or delayed (n = 178) arms. The mean participant age was 15 days (IQR, 7-32 days); 201 participants (56.8%) were boys; 19 (5.4%) were Asian; 47 (13.3%) were Black; 250 (70.6%) were White; and 38 (10.7%) were of other race. At 60 days, twice as many infants in the early group vs the delayed group received a COM (34 of 161 [21.1%; 95% CI, 15.1%-28.2%] vs 17 of 165 [10.3%; 95% CI, 6.1%-16.0%]; P = .009; odds ratio, 2.3; 95% CI, 1.22-4.32) and a molecular diagnosis (55 of 176 [31.0%; 95% CI, 24.5%-38.7%] vs 27 of 178 [15.0%; 95% CI, 10.2%-21.3%]; P < .001). At 90 days, the delayed group showed a doubling of COM (to 45 of 161 [28.0%; 95% CI, 21.2%-35.6%]) and diagnostic efficacy (to 56 of 178 [31.0%; 95% CI, 24.7%-38.8%]). The most frequent COMs across the observation window were subspecialty referrals (39 of 354; 11%), surgery or other invasive procedures (17 of 354; 4%), condition-specific medications (9 of 354; 2%), or other supportive alterations in medication (12 of 354; 3%). No differences in length of stay or survival were observed. Conclusions and Relevance: In this randomized clinical trial, for acutely ill infants in an intensive care unit, introduction of WGS was associated with a significant increase in focused clinical management compared with usual care. Access to first-line WGS may reduce health care disparities by enabling diagnostic equity. These data support WGS adoption and implementation in this population. Trail Registration: ClinicalTrials.gov Identifier: NCT03290469.

Indexed as

Acute DiseaseGenetic Diseases, InbornWhole Genome SequencingFemaleHumansInfantInfant, NewbornMaleOutcome Assessment, Health Care

Identifiers

PMID34570182
PMCPMC8477301

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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.