Evidence map›Paper›PMID 33218056›Full record

ReviewDiagnostics (Basel, Switzerland)2020

Iron Rims as an Imaging Biomarker in MS: A Systematic Mapping Review.

Amjad I AlTokhis, Abdulmajeed M AlOtaibi, Ghadah A Felmban, Cris S Constantinescu, Nikos Evangelou

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Paramagnetic rims are a promising diagnostic imaging biomarker in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022
    Article
  9. Longitudinal clinical study of patients with iron rim lesions in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022
    Article
  10. Review
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

5 authors at 2 institutions in 2 countries.

Amjad I AlTokhisSchool of Medicine, University of Nottingham, Nottingham, UK/Division of Clinical Neuroscience, Nottingham University Hospitals NHS Trust, Nottingham NG7 2UH, UK.ORCID 0000-0003-2697-2927
Abdulmajeed M AlOtaibiSchool of Medicine, University of Nottingham, Nottingham, UK/Division of Clinical Neuroscience, Nottingham University Hospitals NHS Trust, Nottingham NG7 2UH, UK.
Ghadah A FelmbanSchool of Medicine, University of Nottingham, Nottingham, UK/Division of Clinical Neuroscience, Nottingham University Hospitals NHS Trust, Nottingham NG7 2UH, UK.
Cris S ConstantinescuSchool of Medicine, University of Nottingham, Nottingham, UK/Division of Clinical Neuroscience, Nottingham University Hospitals NHS Trust, Nottingham NG7 2UH, UK.ORCID 0000-0003-2066-7585
Nikos EvangelouSchool of Medicine, University of Nottingham, Nottingham, UK/Division of Clinical Neuroscience, Nottingham University Hospitals NHS Trust, Nottingham NG7 2UH, UK.
Nottingham University Hospitals NHS Trust · GBPrincess Nourah bint Abdulrahman University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) is an autoimmune, inflammatory, demyelinating and degenerative disease of the central nervous system (CNS). To date, there is no definitive imaging biomarker for diagnosing MS. The current diagnostic criteria are mainly based on clinical relapses supported by the presence of white matter lesions (WMLs) on MRI. However, misdiagnosis of MS is still a significant clinical problem. The paramagnetic, iron rims (IRs) around white matter lesions have been proposed to be an imaging biomarker in MS. This study aimed to carry out a systematic mapping review to explore the detection of iron rim lesions (IRLs), on clinical MR scans, and describe the characteristics of IRLs presence in MS versus other MS-mimic disorders.

methodsPublications from 2001 on IRs lesions were reviewed in three databases: PubMed, Web of Science and Embase. From the initial result set 718 publications, a final total of 38 papers were selected.

resultsThe study revealed an increasing interest in iron/paramagnetic rims lesions studies. IRs were more frequently found in periventricular regions and appear to be absent in MS-mimics. Conclusions IR is proposed as a promising imaging biomarker for MS.

Indexed as

biomarkerimagingiron rimlesionMagnetic Resonance ImagingMultiple Sclerosisrims

Identifiers

PMID33218056
PMCPMC7698946
OpenAlexW3105110556

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.