Evidence map›Paper›PMID 31499409›Full record

ArticleNeuroImage. Clinical2019

Cross-sectional and longitudinal assessment of the upper cervical spinal cord in motor neuron disease.

Hannelore K van der Burgh, Henk-Jan Westeneng, Jil M Meier, Michael A van Es, Jan H Veldink, Jeroen Hendrikse, Martijn P van den Heuvel, Leonard H van den Berg

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Review
  5. Article
  6. Article
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  10. Review
  11. Review
  12. Combined brain and spinal FDG PET allows differentiation between ALS and ALS mimics.European journal of nuclear medicine and molecular imaging · 2020
    Article
  13. Primary lateral sclerosis: consensus diagnostic criteria.Journal of neurology, neurosurgery, and psychiatry · 2020
    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

8 authors at 2 institutions in 1 country.

Hannelore K van der BurghDepartment of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: H.K.vanderBurgh@umcutrecht.nl.
Henk-Jan WestenengDepartment of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: H.J.Westeneng@umcutrecht.nl.
Jil M MeierDepartment of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: J.M.Meier@umcutrecht.nl.
Michael A van EsDepartment of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: M.A.vanEs@umcutrecht.nl.
Jan H VeldinkDepartment of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: J.H.Veldink@umcutrecht.nl.
Jeroen HendrikseDepartment of Radiology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: J.Hendrikse@umcutrecht.nl.
Martijn P van den HeuvelDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, VU University Amsterdam, Amsterdam, The Netherlands. Electronic address: martijn.vanden.heuvel@vu.nl.
Leonard H van den BergDepartment of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: L.H.vandenBerg@umcutrecht.nl.
University Medical Center Utrecht · NLAmsterdam Neuroscience · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmyotrophic lateral sclerosis (ALS) is a progressive neuromuscular disease characterized by both upper and lower motor neuron degeneration. While neuroimaging studies of the brain can detect upper motor neuron degeneration, these brain MRI scans also include the upper part of the cervical spinal cord, which offers the possibility to expand the focus also towards lower motor neuron degeneration. Here, we set out to investigate cross-sectional and longitudinal disease effects in the upper cervical spinal cord in patients with ALS, progressive muscular atrophy (PMA: primarily lower motor neuron involvement) and primary lateral sclerosis (PLS: primarily upper motor neuron involvement), and their relation to disease severity and grey and white matter brain measurements.

methodsWe enrolled 108 ALS patients without C9orf72 repeat expansion (ALS C9-), 26 ALS patients with C9orf72 repeat expansion (ALS C9+), 28 PLS patients, 56 PMA patients and 114 controls. During up to five visits, longitudinal T1-weighted brain MRI data were acquired and used to segment the upper cervical spinal cord (UCSC, up to C3) and individual cervical segments (C1 to C4) to calculate cross-sectional areas (CSA). Using linear (mixed-effects) models, the CSA differences were assessed between groups and correlated with disease severity. Furthermore, a relationship between CSA and brain measurements was examined in terms of cortical thickness of the precentral gyrus and white matter integrity of the corticospinal tract.

resultsCompared to controls, CSAs at baseline showed significantly thinner UCSC in all groups in the MND spectrum. Over time, ALS C9- patients demonstrated significant thinning of the UCSC and, more specifically, of segment C3 compared to controls. Progressive thinning over time was also observed in C1 of PMA patients, while ALS C9+ and PLS patients did not show any longitudinal changes. Longitudinal spinal cord measurements showed a significant relationship with disease severity and we found a significant correlation between spinal cord and motor cortex thickness or corticospinal tract integrity for PLS and PMA, but not for ALS patients. DISCUSSION: Our findings demonstrate atrophy of the upper cervical spinal cord in the motor neuron disease spectrum, which was progressive over time for all but PLS patients. Cervical spinal cord imaging in ALS seems to capture different disease effects than brain neuroimaging. Atrophy of the cervical spinal cord is therefore a promising additional biomarker for both diagnosis and disease progression and could help in the monitoring of treatment effects in future clinical trials.

Indexed as

Disease ProgressionAdultAgedAged, 80 and overAmyotrophic Lateral SclerosisCervical CordCross-Sectional StudiesFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedMotor Neuron DiseaseMuscular Atrophy, SpinalNeuroimagingAmyotrophic lateral sclerosisCross-sectional areaLongitudinalMagnetic resonance imagingNeuroimagingSpinal cord

Identifiers

PMID31499409
PMCPMC6734179
OpenAlexW2968917323

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.