Evidence map›Paper›PMID 33148077›Full record

ArticleThe Journal of international medical research2020

Clinical manifestations and imaging features of white matter demyelination in older patients.

Jian Li, Yi-Ming Zhao

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. A Novel SPAST Mutation Results in Spastin Accumulation and Defects in Microtubule Dynamics.Movement disorders : official journal of the Movement Disorder Society · 2022
    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

2 authors at 1 institution in 1 country.

Jian LiDepartment of Neurology, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-1995-6814
Yi-Ming ZhaoClinical Epidemiology Research Center, Peking University Third Hospital, Beijing, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the clinical manifestations and imaging features of older patients with white matter demyelination diagnosed by magnetic resonance imaging (MRI).

methodsNinety-six patients with leukoaraiosis diagnosed by MRI were divided by their clinical diagnoses into a demyelinating group (40 cases) and a non-demyelinating group (56 cases). The imaging and clinical features of the patients in the two groups were analyzed.

resultsCompared with the non-demyelinating group, there were significantly more women in the demyelinating group than men. There was no significant difference in age between the two groups. Of the 37 cases who had an imaging report of "white matter demyelination and multiple sclerosis," 36 cases had a clinical diagnosis in accordance with white matter demyelination (97.3%). Of the 59 cases who had an imaging report of "white matter demyelination", only four cases had a clinical diagnosis in accordance with demyelination (6.8%).

conclusionIn older patients with headaches, vertigo, other head symptoms, and unilateral numbness as the chief complaints, a clinical diagnosis of demyelinating disease is very unlikely when the imaging report states white matter demyelination only.

Indexed as

Demyelinating DiseasesMultiple SclerosisWhite MatterAgedFemaleHumansMagnetic Resonance ImagingMaleclinical diagnosisdemyelinating degeneration of white matterdizzinessheadacheimaging reportMagnetic resonance imagingparoxysmal numbness and weakness of unilateral limb

Identifiers

PMID33148077
PMCPMC7653294
OpenAlexW3096383123

What OpenQuestion holds

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LicenceCC BY-NC
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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.