Evidence map›Paper›PMID 29521337›Full record

ReviewNature reviews. Neurology2018

The current role of MRI in differentiating multiple sclerosis from its imaging mimics.

Ruth Geraldes, Olga Ciccarelli, Frederik Barkhof, Nicola De Stefano, Christian Enzinger, Massimo Filippi, Monika Hofer, Friedemann Paul, Paolo Preziosa, Alex Rovira and 10 more

Erratum issuedOpen access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
20.3field-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

65 citing papers in PubMed, 1 synthesis or guideline pooled it, 212 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. NMOSD and MOGAD: an evolving disease spectrum.Nature reviews. Neurology · 2024
    Review
  12. Article
  13. Review
  14. MOG Antibody Disease: Nuances in Presentation, Diagnosis, and Management.Current neurology and neuroscience reports · 2024
    Review
  15. Age-related decline in cerebral oxygen consumption in multiple sclerosis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Observational

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 10 institutions in 8 countries.

Ruth GeraldesNuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK.
Olga CiccarelliUniversity College London, London, UK.
Frederik BarkhofUniversity College London, London, UK.
Nicola De StefanoNeurology and Neurometabolic Unit, Department of Neurological and Behavioural Sciences, University of Siena, Siena, Italy.
Christian EnzingerDepartment of Neurology, Medical University of Graz, Graz, Austria.
Massimo FilippiNeuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Monika HoferNeuropathology Department, John Radcliffe Hospital, Oxford, UK.
Friedemann PaulNeuroCure Clinical Research Center and Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, Berlin, Germany.
Paolo PreziosaNeuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Alex RoviraMagnetic Resonance Unit, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain.
Gabriele C DeLucaNuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK.
Ludwig KapposDepartment of Neurology, University Hospital Basel, Basel, Switzerland.
Tarek YousryInstitute of Neurology, Queen Square, London, UK.
Franz FazekasDepartment of Neurology, Medical University of Graz, Graz, Austria.
Jette FrederiksenDepartment of Neurology, Rigshospitalet Glostrup and University of Copenhagen, Copenhagen, Denmark.
Claudio GasperiniMultiple Sclerosis Centre, Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy.
Jaume Sastre-GarrigaCentre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain.
Nikos EvangelouDivision of Neurosciences, School of Medicine, University of Nottingham, Queen's Medical Centre Campus, Nottingham, UK.
Jacqueline PalaceNuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK.
MAGNIMS study group
Universitat Autònoma de Barcelona · ESJohn Radcliffe Hospital · GBVita-Salute San Raffaele University · ITUniversity Hospital of Basel · CHUniversity of Copenhagen · DKUniversity of Siena · ITMax Delbrück Center · DEMedical University of Graz · ATNational Institute for Health Research · GBUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MRI red flags proposed over a decade ago by the European Magnetic Resonance Network in MS (MAGNIMS) have guided clinicians in the diagnosis of multiple sclerosis (MS). However, the past 10 years have seen increased recognition that vascular disease can coexist and possibly interact with MS, improvements in the reliability of ways to differentiate MS from novel antibody-mediated CNS disorders (such as anti-aquaporin-4 antibody and myelin-oligodendrocyte glycoprotein antibody-associated diseases) and advances in MRI techniques. In this Review, MAGNIMS updates the imaging features that differentiate the most common mimics of MS, particularly age-related cerebrovascular disease and neuromyelitis optica, from MS itself. We also provide a pragmatic summary of the clinically useful MRI features that distinguish MS from its mimics and discuss the future of nonconventional techniques that have identified promising disease-specific features.

Indexed as

Magnetic Resonance ImagingNeuroimagingCerebrovascular DisordersHumansLeukoaraiosisMultiple SclerosisNeuromyelitis Optica

Identifiers

PMID29521337
OpenAlexW2790461194

What OpenQuestion holds

Textmetadata
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.