Evidence map›Paper›PMID 32094485›Full record

ReviewNature reviews. Neurology2020

MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice.

Jaume Sastre-Garriga, Deborah Pareto, Marco Battaglini, Maria A Rocca, Olga Ciccarelli, Christian Enzinger, Jens Wuerfel, Maria P Sormani, Frederik Barkhof, Tarek A Yousry and 12 more

Open access · hybridAbstract readReviewConsensus Statement
In one paragraph

Review in Nature reviews. Neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed, 6 pooled it
21.5field-weighted citation impact, top 1% 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

142 citing papers in PubMed, 6 syntheses or guidelines pooled it, 259 citations in OpenAlex.

  1. Guideline
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  14. Article
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  16. Article
  17. Brain atrophy rates vary with age in relapsing-remitting multiple sclerosis.Journal of neurology, neurosurgery, and psychiatry · 2026
    Article
  18. Charting Cervical Spinal Cord Morphometry Across the Lifespan.bioRxiv : the preprint server for biology · 2026
    Article
  19. Article
  20. Spinal nerves as landmarks for spinal cord segment delineation: cervical cross-sectional area measurement in healthy subjects.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article

82 more citing papers are in PubMed but not listed here.

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

22 authors at 9 institutions in 8 countries.

Jaume Sastre-GarrigaMultiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain. jsastre-garriga@cem-cat.org.ORCID http://orcid.org/0000-0002-1589-2254
Deborah ParetoSection of Neuroradiology and Magnetic Resonance Unit, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Marco BattagliniDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Maria A RoccaNeuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID http://orcid.org/0000-0003-2358-4320
Olga CiccarelliNMR Research Unit, University College London Queen Square Institute of Neurology, London, UK.
Christian EnzingerDepartment of Neurology and Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.
Jens WuerfelMedical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland.
Maria P SormaniBiostatistics Unit, Department of Health Sciences, University of Genoa, Genoa, Italy.
Frederik BarkhofNational Institute for Health Research Biomedical Research Centre, University College London Hospitals, London, UK.
Tarek A YousryNMR Research Unit, University College London Queen Square Institute of Neurology, London, UK.
Nicola De StefanoDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Mar TintoréMultiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.ORCID http://orcid.org/0000-0001-9999-5359
Massimo FilippiNeuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID http://orcid.org/0000-0002-5485-0479
Claudio GasperiniMultiple Sclerosis Center, Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy.
Ludwig KapposNeurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital, University of Basel, Basel, Switzerland.
Jordi RíoMultiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Jette FrederiksenDepartment of Neurology, Rigshospitalet-Glostrup and University of Copenhagen, Glostrup, Denmark.
Jackie PalaceNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Hugo VrenkenAmsterdam Neuroscience, MS Center Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands.
Xavier MontalbanMultiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Àlex RoviraSection of Neuroradiology and Magnetic Resonance Unit, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain. alex.rovira.idi@gencat.cat.
MAGNIMS study group
Universitat Autònoma de Barcelona · ESUniversity of Siena · ITUniversity of Basel · CHNational Institute for Health Research · GBMedical University of Graz · ATUniversity College Hospital · GBUniversity of Copenhagen · DKUniversity of Oxford · GBVita-Salute San Raffaele University · IT

Funding

Medical Research Council MR/M009106/1
6 · The paper itself

Abstract

Early evaluation of treatment response and prediction of disease evolution are key issues in the management of people with multiple sclerosis (MS). In the past 20 years, MRI has become the most useful paraclinical tool in both situations and is used clinically to assess the inflammatory component of the disease, particularly the presence and evolution of focal lesions - the pathological hallmark of MS. However, diffuse neurodegenerative processes that are at least partly independent of inflammatory mechanisms can develop early in people with MS and are closely related to disability. The effects of these neurodegenerative processes at a macroscopic level can be quantified by estimation of brain and spinal cord atrophy with MRI. MRI measurements of atrophy in MS have also been proposed as a complementary approach to lesion assessment to facilitate the prediction of clinical outcomes and to assess treatment responses. In this Consensus statement, the Magnetic Resonance Imaging in MS (MAGNIMS) study group critically review the application of brain and spinal cord atrophy in clinical practice in the management of MS, considering the role of atrophy measures in prognosis and treatment monitoring and the barriers to clinical use of these measures. On the basis of this review, the group makes consensus statements and recommendations for future research.

Indexed as

BrainConsensusMagnetic Resonance ImagingMultiple SclerosisPractice Guidelines as TopicSeverity of Illness IndexSpinal CordAtrophyHumansPrognosisRandomized Controlled Trials as Topic

Identifiers

PMID32094485
PMCPMC7054210
OpenAlexW3008600501

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.