Evidence map›Paper›PMID 37133535›Full record

ArticleJournal of neurology2023

Genetic characterization of primary lateral sclerosis.

Eva M J de Boer, Balint S de Vries, Maartje Pennings, Erik-Jan Kamsteeg, Jan H Veldink, Leonard H van den Berg, Michael A van Es

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Atypical features including acquired oculomotor apraxia inJournal of neuromuscular diseases · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. New variants and genotype-phenotype correlation inJournal of medical genetics · 2025
    Article
  9. Progression and life expectancy in primary lateral sclerosis.Journal of neurology, neurosurgery, and psychiatry · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Primary Lateral Sclerosis: An Overview.Journal of clinical medicine · 2024
    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

7 authors at 2 institutions in 1 country.

Eva M J de BoerDepartment of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-2629-2748
Balint S de VriesDepartment of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
Maartje PenningsDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0001-5485-7497
Erik-Jan KamsteegDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0001-6480-1892
Jan H VeldinkDepartment of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0001-5572-9657
Leonard H van den BergDepartment of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-5203-9674
Michael A van EsDepartment of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands. m.a.vanes@umcutrecht.nl.ORCID http://orcid.org/0000-0002-7709-5883
University Medical Center Utrecht · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesPrimary lateral sclerosis (PLS) is a motor neuron disease characterised by loss of the upper motor neurons. Most patients present with slowly progressive spasticity of the legs, which may also spread to the arms or bulbar regions. It is challenging to distinguish between PLS, early-stage amyotrophic lateral sclerosis (ALS) and hereditary spastic paraplegia (HSP). The current diagnostic criteria advise against extensive genetic testing. This recommendation is, however, based on limited data.

methodsWe aim to genetically characterize a PLS cohort using whole exome sequencing (WES) for genes associated with ALS, HSP, ataxia and movement disorders (364 genes) and C9orf72 repeat expansions. Patients fulfilling the definite PLS criteria by Turner et al. and with available DNA samples of sufficient quality were recruited from an on-going, population-based epidemiological study. Genetic variants were classified according to the ACMG criteria and assigned to groups based on disease association.

resultsWES was performed in 139 patients and the presence of repeat expansions in C9orf72 was analysed separately in 129 patients. This resulted in 31 variants of which 11 were (likely) pathogenic. (Likely) pathogenic variants resulted in 3 groups based on disease association: ALS-FTD (C9orf72, TBK1), pure HSP (SPAST, SPG7), "ALS-HSP-CMT overlap" (FIG4, NEFL, SPG11). DISCUSSION: In a cohort of 139 PLS patients, genetic analyses resulted in 31 variants (22%) of which 10 (7%) (likely) pathogenic associated with different diseases (predominantly ALS and HSP). Based on these results and the literature, we advise to consider genetic analyses in the diagnostic work-up for PLS.

Indexed as

Amyotrophic Lateral SclerosisFrontotemporal DementiaMotor Neuron DiseaseC9orf72 ProteinFlavoproteinsHumansMotor NeuronsPhosphoric Monoester HydrolasesProteinsSpastinC9orf72 ProteinFIG4 protein, humanFlavoproteinsPhosphoric Monoester HydrolasesProteinsSpastinSPAST protein, humanSPG11 protein, humanAmyotrophic lateral sclerosisGeneticsHereditary spastic paraplegiaPrimary lateral sclerosis

Identifiers

PMID37133535
PMCPMC10345048
OpenAlexW4367834542

What OpenQuestion holds

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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.