Evidence map›Paper›PMID 32802993›Full record

ArticleInternational journal of neonatal screening2020

A Comparative Effectiveness Study of Newborn Screening Methods for Four Lysosomal Storage Disorders.

Karen A Sanders, Dimitar K Gavrilov, Devin Oglesbee, Kimiyo M Raymond, Silvia Tortorelli, John J Hopwood, Fred Lorey, Ramanath Majumdar, Charles A Kroll, Amber M McDonald and 8 more

Open access · goldAbstract read
In one paragraph

Article in International journal of neonatal screening, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Guideline
  2. Newborn Screening in Fabry Disease.International journal of molecular sciences · 2025
    Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Newborn Screening for Fabry Disease: Current Status of Knowledge.International journal of neonatal screening · 2023
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
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

18 authors at 4 institutions in 2 countries.

Karen A SandersBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Dimitar K GavrilovBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Devin OglesbeeBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Kimiyo M RaymondBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Silvia TortorelliBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
John J HopwoodLysosomal Diseases Research Unit, South Australian Health and Medical Research Institute, Adelaide 5000, Australia.
Fred LoreyGenetic Disease Screening Program, California Department of Public Health, Richmond, CA 94804, USA.
Ramanath MajumdarBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Charles A KrollBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Amber M McDonaldBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Jean M LaceyBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Coleman T TurgeonBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Justin N TuckerLysosomal Diseases Research Unit, South Australian Health and Medical Research Institute, Adelaide 5000, Australia.
Hao TangGenetic Disease Screening Program, California Department of Public Health, Richmond, CA 94804, USA.
Robert CurrierGenetic Disease Screening Program, California Department of Public Health, Richmond, CA 94804, USA.
Grazia IsayaDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Piero RinaldoBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Dietrich MaternBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Mayo Clinic · USCalifornia Department of Public Health · USSouth Australian Health and Medical Research Institute · AUMayo Clinic in Florida · US

Funding

NICHD NIH HHS HHSN275201000017C
6 · The paper itself

Abstract

Newborn screening for one or more lysosomal disorders has been implemented in several US states, Japan and Taiwan by multiplexed enzyme assays using either tandem mass spectrometry or digital microfluidics. Another multiplex assay making use of immunocapture technology has also been proposed. To investigate the potential variability in performance of these analytical approaches, we implemented three high-throughput screening assays for the simultaneous screening for four lysosomal disorders: Fabry disease, Gaucher disease, mucopolysaccharidosis type I, and Pompe disease. These assays were tested in a prospective comparative effectiveness study using nearly 100,000 residual newborn dried blood spot specimens. In addition, 2nd tier enzyme assays and confirmatory molecular genetic testing were employed. Post-analytical interpretive tools were created using the software Collaborative Laboratory Integrated Reports (CLIR) to determine its ability to improve the performance of each assay vs. the traditional result interpretation based on analyte-specific reference ranges and cutoffs. This study showed that all three platforms have high sensitivity, and the application of CLIR tools markedly improves the performance of each platform while reducing the need for 2nd tier testing by 66% to 95%. Moreover, the addition of disease-specific biochemical 2nd tier tests ensures the lowest false positive rates and the highest positive predictive values for any platform.

Indexed as

bioinformaticsFabry diseaseGaucher diseaseimmunoassaymicrofluidicsmucopolysaccharidosis type Inewborn screeningPompe diseasepost-analytical interpretationtandem mass spectrometry

Identifiers

PMID32802993
PMCPMC7423013
OpenAlexW3030084761

What OpenQuestion holds

Textmetadata
LicenceTDM
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.