Evidence map›Paper›PMID 37458045›Full record

ArticleJournal of neuromuscular diseases2023

Identifying Biomarkers of Spinal Muscular Atrophy for Further Development.

Jacqueline Glascock, Basil T Darras, Thomas O Crawford, Charlotte J Sumner, Stephen J Kolb, Christine DiDonato, Bakri Elsheikh, Kelly Howell, Wildon Farwell, Marta Valente and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neuromuscular diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

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  10. Application of Biomarkers in Spinal Muscular Atrophy.International journal of molecular sciences · 2025
    Review
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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

13 authors at 8 institutions in 2 countries.

Jacqueline GlascockCure SMA, Elk Grove Village, IL, USA.
Basil T DarrasBoston Children's Hospital/Harvard Medical School, Boston, MA, USA.
Thomas O CrawfordJohns Hopkins University School of Medicine Departments of Neurology and Neuroscience, Department of Neurology and Pediatrics, Baltimore, MD, USA.
Charlotte J SumnerJohns Hopkins University School of Medicine Departments of Neurology and Neuroscience, Department of Neurology and Pediatrics, Baltimore, MD, USA.
Stephen J KolbDepartment of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Christine DiDonatoAnn & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
Bakri ElsheikhDepartment of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Kelly HowellSpinal Muscular Atrophy Foundation, Jackson, WY, USA.
Wildon FarwellBiogen, Cambridge, MA, USA.
Marta ValenteBiogen, Cambridge, MA, USA.
Marco PetrilloBiogen, Cambridge, MA, USA.
Jessica TingeyCure SMA, Elk Grove Village, IL, USA.
Jill JareckiCure SMA, Elk Grove Village, IL, USA.
Biogen (United States) · USCURE International UK · GBJohns Hopkins University · USThe Ohio State University Wexner Medical Center · USCure Spinal Muscular Atrophy · USHarvard University · USLurie Children's Hospital · USSpinal Muscular Atrophy Foundation · US

Funding

Translating Pathomechanisms into Treatment for Spinal Muscular AtrophiesR35NS122306 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Charlotte Jane Sumner · 2021 to 2026
$6.3M
NINDS NIH HHS R35 NS122306
6 · The paper itself

Abstract

backgroundSpinal muscular atrophy (SMA) is caused by bi-allelic, recessive mutations of the survival motor neuron 1 (SMN1) gene and reduced expression levels of the survival motor neuron (SMN) protein. Degeneration of alpha motor neurons in the spinal cord causes progressive skeletal muscle weakness. The wide range of disease severities, variable rates of decline, and heterogenous clinical responses to approved disease-modifying treatment remain poorly understood and limit the ability to optimize treatment for patients. Validation of a reliable biomarker(s) with the potential to support early diagnosis, inform disease prognosis and therapeutic suitability, and/or confirm response to treatment(s) represents a significant unmet need in SMA.

objectivesThe SMA Multidisciplinary Biomarkers Working Group, comprising 11 experts in a variety of relevant fields, sought to determine the most promising candidate biomarker currently available, determine key knowledge gaps, and recommend next steps toward validating that biomarker for SMA.

methodsThe Working Group engaged in a modified Delphi process to answer questions about candidate SMA biomarkers. Members participated in six rounds of reiterative surveys that were designed to build upon previous discussions.

resultsThe Working Group reached a consensus that neurofilament (NF) is the candidate biomarker best poised for further development. Several important knowledge gaps were identified, and the next steps toward filling these gaps were proposed.

conclusionsNF is a promising SMA biomarker with the potential for prognostic, predictive, and pharmacodynamic capabilities. The Working Group has identified needed information to continue efforts toward the validation of NF as a biomarker for SMA.

Indexed as

Muscular Atrophy, SpinalBiomarkersHumansMotor NeuronsMutationBiomarkersbiomarkermotor neuron diseaseneurofilament (NF)Spinal muscular atrophy (SMA)

Identifiers

PMID37458045
PMCPMC10578234
OpenAlexW4384338180

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.