Evidence map›Paper›PMID 32403245›Full record

ReviewDiagnostics (Basel, Switzerland)2020

Emerging Approaches for Fluorescence-Based Newborn Screening of Mucopolysaccharidoses.

Rajendra Singh, Shaileja Chopra, Carrie Graham, Melissa Langer, Rainer Ng, Anirudh J Ullal, Vamsee K Pamula

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2020. 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
1.0field-weighted citation impact, top 26% 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, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Epidemiology of Mucopolysaccharidoses Update.Diagnostics (Basel, Switzerland) · 2021
    Review
  7. 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 1 institution in 1 country.

Rajendra SinghBaebies, Inc., P.O. Box 14403, Durham, NC 27709, USA.
Shaileja ChopraBaebies, Inc., P.O. Box 14403, Durham, NC 27709, USA.
Carrie GrahamBaebies, Inc., P.O. Box 14403, Durham, NC 27709, USA.
Melissa LangerBaebies, Inc., P.O. Box 14403, Durham, NC 27709, USA.
Rainer NgBaebies, Inc., P.O. Box 14403, Durham, NC 27709, USA.
Anirudh J UllalBaebies, Inc., P.O. Box 14403, Durham, NC 27709, USA.
Vamsee K PamulaBaebies, Inc., P.O. Box 14403, Durham, NC 27709, USA.
Baebies (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interest in newborn screening for mucopolysaccharidoses (MPS) is growing, due in part to ongoing efforts to develop new therapies for these disorders and new screening assays to identify increased risk for the individual MPSs on the basis of deficiency in the cognate enzyme. Existing tests for MPSs utilize either fluorescence or mass spectrometry detection methods to measure biomarkers of disease (e.g., enzyme function or glycosaminoglycans) using either urine or dried blood spot (DBS) samples. There are currently two approaches to fluorescence-based enzyme function assays from DBS: (1) manual reaction mixing, incubation, and termination followed by detection on a microtiter plate reader; and (2) miniaturized automation of these same assay steps using digital microfluidics technology. This article describes the origins of laboratory assays for enzyme activity measurement, the maturation and clinical application of fluorescent enzyme assays for MPS newborn screening, and considerations for future expansion of the technology.

Indexed as

fluorescencelysosomal storage disordersmucopolysaccharidosesnewborn screening

Identifiers

PMID32403245
PMCPMC7277946
OpenAlexW3023019580

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.