Evidence map›Paper›PMID 28203530›Full record

ArticleNeuroImage. Clinical2017

Longitudinal evaluation of cerebral and spinal cord damage in Amyotrophic Lateral Sclerosis.

Milena de Albuquerque, Lucas Melo T Branco, Thiago Junqueira R Rezende, Helen Maia Tavares de Andrade, Anamarli Nucci, Marcondes Cavalcante França

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
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

34 citing papers in PubMed.

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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

6 authors.

Milena de AlbuquerqueDepartment of Neurology and Neuroimaging Laboratory, School of Medical Sciences, University of Campinas - UNICAMP Rua Tessália Vieira de Camargo, 126, Cidade Universitaria "Zeferino Vaz" Campinas, SP 13083-887, Brazil.
Lucas Melo T BrancoDepartment of Neurology and Neuroimaging Laboratory, School of Medical Sciences, University of Campinas - UNICAMP Rua Tessália Vieira de Camargo, 126, Cidade Universitaria "Zeferino Vaz" Campinas, SP 13083-887, Brazil.
Thiago Junqueira R RezendeDepartment of Neurology and Neuroimaging Laboratory, School of Medical Sciences, University of Campinas - UNICAMP Rua Tessália Vieira de Camargo, 126, Cidade Universitaria "Zeferino Vaz" Campinas, SP 13083-887, Brazil.
Helen Maia Tavares de AndradeDepartment of Neurology and Neuroimaging Laboratory, School of Medical Sciences, University of Campinas - UNICAMP Rua Tessália Vieira de Camargo, 126, Cidade Universitaria "Zeferino Vaz" Campinas, SP 13083-887, Brazil.
Anamarli NucciDepartment of Neurology and Neuroimaging Laboratory, School of Medical Sciences, University of Campinas - UNICAMP Rua Tessália Vieira de Camargo, 126, Cidade Universitaria "Zeferino Vaz" Campinas, SP 13083-887, Brazil.
Marcondes Cavalcante FrançaDepartment of Neurology and Neuroimaging Laboratory, School of Medical Sciences, University of Campinas - UNICAMP Rua Tessália Vieira de Camargo, 126, Cidade Universitaria "Zeferino Vaz" Campinas, SP 13083-887, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate MRI-based parameters as biomarkers of Amyotrophic Lateral Sclerosis (ALS) progression.

methodsTwenty-seven patients and 27 controls performed two clinical and MRI acquisitions 8 months apart. ALSFRS-R scale was used to quantify disease severity at both time points. Multimodal analyses of MRI included cortical thickness measurements (FreeSurfer software), analysis of white matter integrity using diffusion-tensor imaging (tract-based spatial statistics-TBSS) and measurement of cervical spinal cord cross-sectional area (SpineSeg software). All analyses were corrected for multiple comparisons. The standardized response mean (SRM = mean score change / standard deviation of score change) was calculated for all methods herein employed and used for comparison purposes.

resultsThere were 18 men and mean age at first examination was 51.9 years. Mean ALSFRS-R scores at baseline and follow-up were 34.0 and 29.0, respectively. There was no region with progressive cortical thinning, but there was significant brainstem volumetric reduction (p = 0.001). TBSS analyses revealed progressive increase of AD (axial diffusivity) and MD (mean diffusivity) at the corpus callosum (p < 0.05), whereas SpineSeg showed progressive cord area reduction (p = 0.002). Cervical spinal cord cross-sectional area reduction was the only MRI parameter that correlated with ALSFRS-R change (r = 0.309, p = 0.038). SRM for ALSFRS-R was 0.95, for cord area 0.95, for corpus callosum AD 0.62 and MD 0.65, and for brainstem volume 0.002.

conclusionsStructural MRI is able to detect short term longitudinal changes in ALS. Cervical spinal cord morphometry is a promising neuroimaging marker to assess ALS course.

Indexed as

AdultAgedAged, 80 and overAmyotrophic Lateral SclerosisC9orf72 ProteinCerebral CortexFemaleHumansImage Processing, Computer-AssistedLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedProteinsSpinal CordWhite MatterC9orf72 ProteinC9orf72 protein, humanProteinsAmyotrophic Lateral SclerosisCortical thicknessMRISpinal cordTBSS

Identifiers

PMID28203530
PMCPMC5294732

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.