Evidence map›Paper›PMID 34612110›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2022

Multiple sclerosis diagnosis: Knowledge gaps and opportunities for educational intervention in neurologists in the United States.

Andrew J Solomon, Marwa Kaisey, Stephen C Krieger, Salim Chahin, Robert T Naismith, Sarah M Weinstein, Russell T Shinohara, Brian G Weinshenker

Open access · hybridAbstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  6. Observational
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  8. Misdiagnosis of Multiple Sclerosis: Past, Present, and Future.Current neurology and neuroscience reports · 2024
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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

8 authors at 6 institutions in 1 country.

Andrew J SolomonDepartment of Neurological Sciences, Larner College of Medicine, The University of Vermont, Burlington, VT, USA.
Marwa KaiseyDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Stephen C KriegerDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Salim ChahinDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.
Robert T NaismithDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.
Sarah M WeinsteinPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-3152-6286
Russell T ShinoharaPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Brian G WeinshenkerDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Penn Center for AIDS Research · USWashington University in St. Louis · USCedars-Sinai Medical Center · USIcahn School of Medicine at Mount Sinai · USMayo Clinic in Arizona · USUniversity of Vermont · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew studies have addressed the results of educational efforts concerning proper use of McDonald criteria (MC) revisions outside multiple sclerosis (MS) subspecialty centers. Neurology residents and MS subspecialist neurologists demonstrated knowledge gaps for core elements of the MC in a recent prior study.

objectiveTo assess comprehension and application of MC core elements by non-MS specialist neurologists in the United States who routinely diagnose MS.

methodsThrough a cross-sectional study design, a previously developed survey instrument was distributed online.

resultsA total of 222 neurologists completed the study survey. Syndromes atypical for MS were frequently incorrectly considered "typical" MS presentations. Fourteen percent correctly identified definitions of both "periventricular" and "juxtacortical" lesions and 2% correctly applied these terms to 9/9 images. Twenty-four percent correctly identified all four central nervous system (CNS) regions for satisfaction of magnetic resonance imaging (MRI) dissemination in space. In two presented cases, 61% and 71% correctly identified dissemination in time (DIT) was not fulfilled, and 85% and 86% subsequently accepted nonspecific historical symptoms without objective evidence for DIT fulfillment.

conclusionThe high rate of knowledge deficiencies and application errors of core elements of the MC demonstrated by participants in this study raise pressing questions concerning adequacy of dissemination and educational efforts upon publication of revisions to MC.

Indexed as

Multiple SclerosisCross-Sectional StudiesHumansMagnetic Resonance ImagingNeurologistsSyndromeUnited StatesDemyelinating disease (CNS)diagnosisdiagnostic criteriaeducationmultiple sclerosis

Identifiers

PMID34612110
PMCPMC9189717
OpenAlexW3203495106

What OpenQuestion holds

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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.