Evidence map›Paper›PMID 34043042›Full record

ArticleJournal of neurology2022

Elucidating distinct clinico-radiologic signatures in the borderland between neuromyelitis optica and multiple sclerosis.

Maciej Juryńczyk, Elżbieta Klimiec-Moskal, Yazhuo Kong, Samuel Hurley, Silvia Messina, Tianrong Yeo, Mark Jenkinson, Maria Isabel Leite, Jacqueline Palace

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Double-negative neuromyelitis optica spectrum disorder.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023
    Review
  8. 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

9 authors at 3 institutions in 3 countries.

Maciej Juryńczyk *Department of Clinical Neurology, Nuffield Department of Clinical Neuroscienes, University of Oxford, Oxford, UK. m.jurynczyk@nencki.edu.pl.ORCID http://orcid.org/0000-0002-5081-9677
Elżbieta Klimiec-Moskal *Department of Clinical Neurology, Nuffield Department of Clinical Neuroscienes, University of Oxford, Oxford, UK.
Yazhuo KongWellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Samuel HurleyWellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Silvia MessinaDepartment of Clinical Neurology, Nuffield Department of Clinical Neuroscienes, University of Oxford, Oxford, UK.
Tianrong YeoDepartment of Clinical Neurology, Nuffield Department of Clinical Neuroscienes, University of Oxford, Oxford, UK.
Mark JenkinsonWellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Maria Isabel LeiteDepartment of Clinical Neurology, Nuffield Department of Clinical Neuroscienes, University of Oxford, Oxford, UK.
Jacqueline PalaceDepartment of Clinical Neurology, Nuffield Department of Clinical Neuroscienes, University of Oxford, Oxford, UK. jacqueline.palace@ndnc.ox.ac.uk.
University of Oxford · GBJagiellonian University · PLNuffield Orthopaedic Centre · GB

Funding

Oxford University Hospitals NHS Foundation Trust (GB) A20069Wellcome Trust
6 · The paper itself

Abstract

backgroundSeparating antibody-negative neuromyelitis optica spectrum disorders (NMOSD) from multiple sclerosis (MS) in borderline cases is extremely challenging due to lack of biomarkers. Elucidating different pathologies within the likely heterogenous antibody-negative NMOSD/MS overlap syndrome is, therefore, a major unmet need which would help avoid disability from inappropriate treatment.

objectiveIn this study we aimed to identify distinct subgroups within the antibody-negative NMOSD/MS overlap syndrome.

methodsTwenty-five relapsing antibody-negative patients with NMOSD features underwent a prospective brain and spinal cord MRI. Subgroups were identified by an unsupervised algorithm based on pre-selected NMOSD/MS discriminators.

resultsFour subgroups were identified. Patients from Group 1 termed "MS-like" (n = 6) often had central vein sign and cortical lesions (83% and 67%, respectively). All patients from Group 2 ("spinal MS-like", 8) had short-segment myelitis and no MS-like brain lesions. Group 3 ("classic NMO-like", 6) had high percentage of bilateral optic neuritis and longitudinally extensive transverse myelitis (LETM, 80% and 60%, respectively) and normal brain appearance (100%). Group 4 ("NMO-like with brain involvement", 5) typically had a history of NMOSD-like brain lesions and LETM. When compared with other groups, Group 4 had significantly decreased fractional anisotropy in non-lesioned tracts (0.46 vs. 0.49, p = 0.003) and decreased thalamus volume (0.84 vs. 0.98, p = 0.04).

conclusionsNMOSD/MS cohort contains distinct subgroups likely corresponding to different pathologies and requiring tailored treatment. We propose that non-conventional MRI might help optimise diagnosis in these challenging patients.

Indexed as

Multiple SclerosisMyelitis, TransverseNeuromyelitis OpticaAquaporin 4AutoantibodiesHumansMagnetic Resonance ImagingNeoplasm Recurrence, LocalProspective StudiesAquaporin 4AutoantibodiesMagnetic resonance imagingMultiple sclerosisMyelitisNeuromyelitis opticaOptic neuritisProspective studies

Identifiers

PMID34043042
PMCPMC8738499
OpenAlexW3165699103

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.