Evidence map›Paper›PMID 35892472›Full record

ArticleInternational journal of neonatal screening2022

Usability of NewSTEPs Data for Assessing the Characteristics of Infants with Newborn Screening Disorders.

Amel Omari, Sarah L Reeves, Lisa A Prosser, Melissa S Creary, Ayesha Ahmad, Kao-Ping Chua

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of neonatal screening, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Amel OmariDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
Sarah L ReevesDepartment of Pediatrics, Susan B. Meister Child Health Evaluation and Research Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Lisa A ProsserDepartment of Pediatrics, Susan B. Meister Child Health Evaluation and Research Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Melissa S CrearyDepartment of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
Ayesha AhmadDepartment of Pediatrics, Division of Pediatric Genetics, Metabolism and Genomic Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Kao-Ping ChuaDepartment of Pediatrics, Susan B. Meister Child Health Evaluation and Research Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA.ORCID 0000-0002-4081-272X

Funding

Using Default Opioid Prescription Settings to Limit Excessive Opioid Prescribing to Adolescents and Young AdultsK08DA048110 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHUA, KAO-PING · 2019 to 2023
$983k
NIDA NIH HHS 1K08DA048110-01NIDA NIH HHS K08 DA048110
6 · The paper itself

Abstract

Most state newborn screening programs in the U.S. currently contribute case data to the Newborn Screening Technical Assistance and Evaluation Program (NewSTEPs). To assess the usability of these data for research, we examined the completeness of key variables, particularly race and ethnicity. Data included 24,129 cases of 34 newborn screening disorders from 45 states available in NewSTEPs as of 31 August 2020. Birth years of cases ranged between 2006 and 2020. Rates of missing data for sex, gestational age, birth weight, and race/ethnicity were 3.8%, 31.7%, 7.0%, and 39.7%, respectively. After excluding 21 states for which ≥50% of cases had missing data on race and/or ethnicity, 16,010 cases from 24 states remained. The disorders with the highest proportions in which cases were recorded as Hispanic ethnicity/any race were methylmalonic acidemia (48.7%) and maple syrup urine disease (45.7%). Analyses indicated that sex and birth weight data in NewSTEPs are reasonably complete, but missing data are common for gestational age and race/ethnicity. Despite this, our analyses revealed several novel associations between race/ethnicity and newborn screening disorders, such as the high burden of maple syrup urine disease among Hispanic patients. This demonstrates the potential usefulness of NewSTEPs for research if investments in higher-quality data are made.

Indexed as

continuous data improvementdata repositorydisordersnewborn screeningrace and ethnicity

Identifiers

PMID35892472
PMCPMC9326755

What OpenQuestion 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 OpenQuestion graph.