Evidence map›Paper›PMID 30038791›Full record

ArticleMultiple sclerosis journal - experimental, translational and clinical

High prevalence and indexes of anti-John Cunningham virus antibodies in a cohort of Chinese patients with multiple sclerosis.

Alexander Lau, Wei Qiu, Allan Kermode, Cheryl Au, Angel Ng, Adrian Wong, Sze-Ho Ma, Lisa Au, Karen Ma, Bonaventure Ip and 1 more

Abstract read
In one paragraph

Article in Multiple sclerosis journal - experimental, translational and clinical. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

11 authors.

Alexander LauDepartment of Medicine and Therapeutics, Chinese University of Hong Kong, China.ORCID 0000-0002-5933-9290
Wei QiuDepartment of Neurology, Third Affiliated Hospital of Sun Yat-sen University, China.
Allan KermodePerron Institute, University of Western Australia, Australia.
Cheryl AuDepartment of Medicine and Therapeutics, Chinese University of Hong Kong, China.
Angel NgDepartment of Medicine and Therapeutics, Chinese University of Hong Kong, China.
Adrian WongDepartment of Medicine and Therapeutics, Chinese University of Hong Kong, China.
Sze-Ho MaDepartment of Medicine and Therapeutics, Chinese University of Hong Kong, China.
Lisa AuDepartment of Medicine and Therapeutics, Chinese University of Hong Kong, China.
Karen MaDepartment of Medicine and Therapeutics, Chinese University of Hong Kong, China.
Bonaventure IpDepartment of Medicine and Therapeutics, Chinese University of Hong Kong, China.
Vincent MokDepartment of Medicine and Therapeutics, Chinese University of Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed a cross-sectional study in 123 Chinese multiple sclerosis patients residing in Hong Kong to evaluate their anti-John Cunningham virus status using STRATIFY JCV DxSelect assays. Anti-John Cunningham virus antibody was present in 98/123 (80%) subjects, among which 75/98 (77%) had an anti-John Cunningham virus index ≥1.5. Anti-John Cunningham virus antibody seropositivity was not correlated with age, disease duration, Expanded Disability Status Scale scores, types of multiple sclerosis (relapsing vs progressive), or disease-modifying treatments used. We found a very high seroprevalence and index of anti-John Cunningham virus antibodies in Chinese multiple sclerosis patients, which may impact the risk assessment and recommendation of disease-modifying treatments in this population.

Indexed as

Anti-John Cunningham virus antibodyanti-John Cunningham virus indexChinesemultiple sclerosisprogressive multifocal leukoencephalopathy

Identifiers

PMID30038791
PMCPMC6050819

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Registered trials

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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.