Evidence map›Paper›PMID 38332854›Full record

ReviewTherapeutic advances in neurological disorders2024

Prognostic relevance of MRI in early relapsing multiple sclerosis: ready to guide treatment decision making?

Olaf Hoffmann, Ralf Gold, Sven G Meuth, Ralf A Linker, Thomas Skripuletz, Heinz Wiendl, Mike P Wattjes

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in neurological disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 4% 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

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

  1. Guideline
  2. Article
  3. Article
  4. Multiple sclerosis: 2026 update.Free neuropathology · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. 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

7 authors at 6 institutions in 1 country.

Olaf HoffmannDepartment of Neurology, Alexianer St. Josefs-Krankenhaus Potsdam, Allee nach Sanssouci 7, 14471 Potsdam, Germany; Medizinische Hochschule Brandenburg Theodor Fontane, Neuruppin, Germany.ORCID https://orcid.org/0000-0001-6399-1911
Ralf GoldDepartment of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany.
Sven G MeuthDepartment of Neurology, Medical Faculty, Heinrich Heine University of Düsseldorf, Düsseldorf, Germany.
Ralf A LinkerDepartment of Neurology, Regensburg University Hospital, Regensburg, Germany.ORCID https://orcid.org/0000-0002-8740-3106
Thomas SkripuletzDepartment of Neurology, Hannover Medical School, Hannover, Germany.
Heinz WiendlDepartment of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany.ORCID https://orcid.org/0000-0003-4310-3432
Mike P WattjesDepartment of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany.
Medizinische Hochschule Hannover · DEHeinrich Heine University Düsseldorf · DEMedizinische Hochschule Brandenburg Theodor Fontane · DESt. Josef-Hospital · DEUniversity Hospital Münster · DEUniversity Hospital Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) of the brain and spinal cord plays a crucial role in the diagnosis and monitoring of multiple sclerosis (MS). There is conclusive evidence that brain and spinal cord MRI findings in early disease stages also provide relevant insight into individual prognosis. This includes prediction of disease activity and disease progression, the accumulation of long-term disability and the conversion to secondary progressive MS. The extent to which these MRI findings should influence treatment decisions remains a subject of ongoing discussion. The aim of this review is to present and discuss the current knowledge and scientific evidence regarding the utility of MRI at early MS disease stages for prognostic classification of individual patients. In addition, we discuss the current evidence regarding the use of MRI in order to predict treatment response. Finally, we propose a potential approach as to how MRI data may be categorized and integrated into early clinical decision making.

Indexed as

brainMRImultiple sclerosisprognosisspinal cord

Identifiers

PMID38332854
PMCPMC10851744
OpenAlexW4391603661

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.