Evidence map›Paper›PMID 37663526›Full record

ReviewLancet regional health. Americas2023

Newborn sequencing is only part of the solution for better child health.

Luca Brunelli, Heeju Sohn, Amy Brower

Open access · goldAbstract readReview
In one paragraph

Review in Lancet regional health. Americas, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

3 authors at 3 institutions in 1 country.

Luca BrunelliDivision of Neonatology, Department of Pediatrics, Spencer Fox Eccles School of Medicine, University of Utah, and Primary Children's Hospital, Intermountain Health, Salt Lake City, UT, United States.
Heeju SohnDepartment of Sociology, Emory University, Atlanta, GA, United States.
Amy BrowerAmerican College of Medical Genetics and Genomics (ACMG), Bethesda, MD, United States.
American College of Medical Genetics · USEmory University · USPrimary Children's Hospital · US

Funding

Early-Life Health Consequences of Unequal Kinship NetworksR00HD096322 · NICHD · EMORY UNIVERSITY · PI SOHN, HEEJU · 2020 to 2022
$735k
NICHD NIH HHS R00 HD096322NLM NIH HHS HHSN276201800005C
6 · The paper itself

Abstract

Newborn screening (NBS) aims to detect newborns with severe congenital diseases before the onset of clinical manifestations. Advancements in genomic technologies have led to proposals for the development of genomic-based NBS (G-NBS) in concert with traditional NBS. Proponents of G-NBS highlight how G-NBS could expand the number of diseases screened at birth to thousands and spur the development of new drugs and treatments for rare diseases. Balancing the excitement, some experts have pointed to the ethical dilemmas linked to G-NBS. The dialog, however, has yet to engage with sufficient urgency on how the new G-NBS might chart a course for improving the health of all children. Our analysis of more than 130 million births in the United States between 1959 and 1995 shows that traditional NBS led to improvements in infant mortality and health equity only when it was implemented in association with measures to improve healthcare access for children. We suggest that the new G-NBS will lead to better child health only when the same degree of attention devoted to genomic technologies will be directed to the promotion of public health measures that facilitate access to high-quality healthcare for all children.

Indexed as

Child healthGenomicsHealth equityHealth rightsNewborn screening

Identifiers

PMID37663526
PMCPMC10474049
OpenAlexW4386196594

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.