Evidence map›Paper›PMID 34811359›Full record

ArticleNPJ genomic medicine2021

The diagnostic trajectory of infants and children with clinical features of genetic disease.

Brock E Schroeder, Nina Gonzaludo, Katie Everson, Kyi-Sin Than, Jeff Sullivan, Ryan J Taft, John W Belmont

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Rapid genomic sequencing in the NICU: Who to test and why.European journal of human genetics : EJHG · 2026
    Review
  3. Article
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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

7 authors at 1 institution in 1 country.

Brock E SchroederIllumina, Inc., San Diego, CA, USA. bschroeder1@illumina.com.ORCID http://orcid.org/0000-0002-0803-7209
Nina GonzaludoIllumina, Inc., San Diego, CA, USA.ORCID http://orcid.org/0000-0002-1256-4685
Katie EversonPRECISIONheor, Los Angeles, CA, USA.
Kyi-Sin ThanPRECISIONheor, Los Angeles, CA, USA.
Jeff SullivanPRECISIONheor, Los Angeles, CA, USA.
Ryan J TaftIllumina, Inc., San Diego, CA, USA.
John W BelmontIllumina, Inc., San Diego, CA, USA.
Illumina (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We characterized US pediatric patients with clinical indicators of genetic diseases, focusing on the burden of disease, utilization of genetic testing, and cost of care. Curated lists of diagnosis, procedure, and billing codes were used to identify patients with clinical indicators of genetic disease in healthcare claims from Optum's de-identified Clinformatics® Database (13,076,038 unique patients). Distinct cohorts were defined to represent permissive and conservative estimates of the number of patients. Clinical phenotypes suggestive of genetic diseases were observed in up to 9.4% of pediatric patients and up to 44.7% of critically-ill infants. Compared with controls, patients with indicators of genetic diseases had higher utilization of services (e.g., mean NICU length of stay of 31.6d in a cohort defined by multiple congenital anomalies or neurological presentations compared with 10.1d for patients in the control population (P < 0.001)) and higher overall costs. Very few patients received any genetic testing (4.2-8.4% depending on cohort criteria). These results highlight the substantial proportion of the population with clinical features associated with genetic disorders and underutilization of genetic testing in these populations.

Identifiers

PMID34811359
PMCPMC8609026
OpenAlexW3216548770

What OpenQuestion holds

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LicenceCC BY
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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.