Evidence map›Paper›PMID 36140824›Full record

ReviewGenes2022

Recommendations for Interpreting and Reporting Silent Carrier and Disease-Modifying Variants in SMA Testing Workflows.

John N Milligan, Laura Blasco-Pérez, Mar Costa-Roger, Marta Codina-Solà, Eduardo F Tizzano

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.6field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 2 institutions in 2 countries.

John N MilliganAsuragen, A Bio-Techne Brand, Austin, TX 78721, USA.ORCID 0000-0002-8905-8318
Laura Blasco-PérezDepartment of Clinical and Molecular Genetics, University Hospital Vall d'Hebron, 08035 Barcelona, Spain.ORCID 0000-0001-6483-5742
Mar Costa-RogerDepartment of Clinical and Molecular Genetics, University Hospital Vall d'Hebron, 08035 Barcelona, Spain.ORCID 0000-0001-8949-9466
Marta Codina-SolàDepartment of Clinical and Molecular Genetics, University Hospital Vall d'Hebron, 08035 Barcelona, Spain.ORCID 0000-0002-5382-413X
Eduardo F TizzanoDepartment of Clinical and Molecular Genetics, University Hospital Vall d'Hebron, 08035 Barcelona, Spain.ORCID 0000-0002-7116-6310
Hebron University · PSAsuragen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic testing for SMA diagnosis, newborn screening, and carrier screening has become a significant public health interest worldwide, driven largely by the development of novel and effective molecular therapies for the treatment of spinal muscular atrophy (SMA) and the corresponding updates to testing guidelines. Concurrently, understanding of the underlying genetics of SMA and their correlation with a broad range of phenotypes and risk factors has also advanced, particularly with respect to variants that modulate disease severity or impact residual carrier risks. While testing guidelines are beginning to emphasize the importance of these variants, there are no clear guidelines on how to utilize them in a real-world setting. Given the need for clarity in practice, this review summarizes several clinically relevant variants in the

Indexed as

Muscular Atrophy, SpinalGenetic TestingHumansInfant, NewbornNeonatal ScreeningPhenotypeWorkflowcarrier screeningdiagnosisSMN1SMN2spinal muscular atrophy

Identifiers

PMID36140824
PMCPMC9498682
OpenAlexW4296281180

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.