Evidence map›Paper›PMID 32216101›Full record

ArticleJournal of inherited metabolic disease2020

Ethnic variability in newborn metabolic screening markers associated with false-positive outcomes.

Gang Peng, Yishuo Tang, Neeru Gandotra, Gregory M Enns, Tina M Cowan, Hongyu Zhao, Curt Scharfe

Open access · hybridAbstract read
In one paragraph

Article in Journal of inherited metabolic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

7 authors at 2 institutions in 1 country.

Gang PengDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.
Yishuo TangDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.
Neeru GandotraDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.
Gregory M EnnsDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, USA.
Tina M CowanDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA.
Hongyu ZhaoDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.
Curt ScharfeDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-6322-2039
Yale University · USStanford University · US

Funding

Multiplex gene sequencing and metabolomics analysis from newborn dried blood spots to improve screening and diagnosis of metabolic disorders.R01HD102537 · NICHD · YALE UNIVERSITY · PI SCHARFE, CURT · 2020 to 2024
$3.0M
Technology development for rapid detection and diagnosis of metabolic disordersR01HD081355 · NICHD · YALE UNIVERSITY · PI SCHARFE, CURT · 2014 to 2016
$866k
NICHD NIH HHS R01 HD081355NICHD NIH HHS R01 HD102537
6 · The paper itself

Abstract

Newborn screening (NBS) programmes utilise information on a variety of clinical variables such as gestational age, sex, and birth weight to reduce false-positive screens for inborn metabolic disorders. Here we study the influence of ethnicity on metabolic marker levels in a diverse newborn population. NBS data from screen-negative singleton babies (n = 100 000) were analysed, which included blood metabolic markers measured by tandem mass spectrometry and ethnicity status reported by the parents. Metabolic marker levels were compared between major ethnic groups (Asian, Black, Hispanic, White) using effect size analysis, which controlled for group size differences and influence from clinical variables. Marker level differences found between ethnic groups were correlated to NBS data from 2532 false-positive cases for four metabolic diseases: glutaric acidemia type 1 (GA-1), methylmalonic acidemia (MMA), ornithine transcarbamylase deficiency (OTCD), and very long-chain acyl-CoA dehydrogenase deficiency (VLCADD). In the result, 79% of the metabolic markers (34 of 43) had ethnicity-related differences. Compared to the other groups, Black infants had elevated GA-1 markers (C5DC, Cohen's d = .37, P < .001), Hispanics had elevated MMA markers (C3, Cohen's d = .13, P < .001, and C3/C2, Cohen's d = .27, P < .001); and Whites had elevated VLCADD markers (C14, Cohen's d = .28, P < .001, and C14:1, Cohen's d = .22, P < .001) and decreased OTCD markers (citrulline, Cohen's d = -.26, P < .001). These findings correlated with the higher false-positive rates in Black infants for GA-1, in Hispanics for MMA, and in Whites for OTCD and for VLCADD. Web-based tools are available to analyse ethnicity-related changes in newborn metabolism and to support developing methods to identify false-positives in metabolic screening.

Indexed as

Acyl-CoA Dehydrogenase, Long-ChainAmino Acid Metabolism, Inborn ErrorsBiomarkersBrain Diseases, MetabolicCaliforniaCongenital Bone Marrow Failure SyndromesEthnicityFalse Positive ReactionsFemaleGestational AgeGlutaryl-CoA DehydrogenaseHumansInfant, NewbornLipid Metabolism, Inborn ErrorsMaleMitochondrial DiseasesAcyl-CoA Dehydrogenase, Long-ChainBiomarkersGlutaryl-CoA Dehydrogenaseinborn metabolic disordersinformatics and statisticsnewborn screeningpaediatric clinical chemistryracial/ethnic-disparities

Identifiers

PMID32216101
PMCPMC7540352
OpenAlexW3013477219

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.