Evidence map›Paper›PMID 41892017›Full record

ArticleInternational journal of neonatal screening2026

Trends in the Timeliness of Spinal Muscular Atrophy Detection in US Infants, 2016-2023.

Scott D Grosse, Kai Hong, Golriz K Yazdanpanah, Ashley Nash, Amy Gaviglio, Marcus Gaffney, Kendra A K Lawrence, Jennifer M Kwon

Abstract read
In one paragraph

Article in International journal of neonatal screening, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Scott D GrosseDivision of Laboratory Sciences, Newborn Screening and Molecular Biology Branch, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.ORCID 0000-0003-1078-6855
Kai HongOffice of Policy, Performance, and Evaluation, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.ORCID 0000-0003-0656-4491
Golriz K YazdanpanahDivision of Laboratory Sciences, Newborn Screening and Molecular Biology Branch, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
Ashley NashDivision of Laboratory Sciences, Newborn Screening and Molecular Biology Branch, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
Amy GaviglioDivision of Laboratory Sciences, Newborn Screening and Molecular Biology Branch, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
Marcus GaffneyDivision of Laboratory Sciences, Newborn Screening and Molecular Biology Branch, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
Kendra A K LawrenceDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT 84112, USA.
Jennifer M KwonDivision of Pediatric Neurology, Department of Neurology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Screening for spinal muscular atrophy (SMA) was adopted by all US state newborn screening programs between 2018 and 2024; by the end of 2022, 48 states were screening for SMA. We assessed trends in health insurance records of SMA diagnoses to quantify improvements in the timeliness of SMA identification following the adoption of screening. We used nationally representative Medicaid claims data for approximately half of US births covered by public insurance and a convenience sample of employer-sponsored health plans. We analyzed records for birth cohorts with at least 1 full year of follow-up (i.e., through the end of the following calendar year). For 2017 births, 1.3 per 100,000 infants had SMA codes first recorded by 1 month of age; this increased to 6.6 per 100,000 among publicly insured newborns born in 2022. The rollout of SMA newborn screening across US states was also followed by improvements in the timely detection of SMA. The proportion of infants with SMA detected by 1 month increased from 18% in 2017 to 61% in 2021 and is projected to reach 75% in 2022. Growth in timely detection was even greater in the employer-insured sample. Timely diagnosis of SMA can enable the initiation of treatment prior to the irreversible loss of motor function.

Indexed as

administrative dataevaluationnewborn screening implementationspinal muscular atrophytimeliness

Identifiers

PMID41892017
PMCPMC13027143

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.