Evidence map›Paper›PMID 42825263›Full record

ArticleBMJ neurology open2026

Case report of anti-vimentin IgG-associated autoimmune encephalitis: diagnostic challenges and the role of 18F-DPA714 PET/MRI.

Siqi Tu, Siyu Dong, Sheng Chen, Huanyu Meng

Abstract read
In one paragraph

Article in BMJ neurology open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Siqi Tu *Department of Neurology and Institute of Neurology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.ORCID https://orcid.org/0009-0007-0759-1121
Siyu Dong *Department of Neurology and Institute of Neurology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Sheng ChenDepartment of Neurology and Institute of Neurology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.ORCID https://orcid.org/0000-0001-7428-7153
Huanyu MengDepartment of Neurology and Institute of Neurology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anti-vimentin IgG-associated autoimmune encephalitis (AE) is a recently described autoimmune astrocytopathy characterised by relapsing-remitting cerebellar ataxia, brainstem involvement and pyramidal tract lesions. Nevertheless, several key aspects remain poorly elucidated, including the full clinical phenotypic spectrum (particularly peripheral nervous system (PNS) involvement), the interpretation of serological discrepancies and long-term management outcomes. Additionally, the imaging evidence for neuroinflammation and the evidence regarding evolution following treatment remain insufficient. Case presentation: We reported a man in his late 40s who developed a core triad of cerebellar ataxia, pyramidal signs and peripheral neuropathy. Conventional MRI was unremarkable, but cerebrospinal fluid analysis revealed anti-vimentin IgG positivity (titre 1:10) with type III oligoclonal bands while serum was negative. Conclusions: This first reported middle-aged male case expands the demographic and phenotypic spectrum of anti-vimentin IgG-associated AE to include PNS involvement. This case highlights the diagnostic value of antibody detection and advanced imaging modalities in atypical presentations of anti-vimentin IgG-associated AE.

Indexed as

AUTOIMMUNE ENCEPHALITISCase ReportsCEREBELLAR ATAXIANEUROIMMUNOLOGYPET

Identifiers

PMID42825263
PMCPMC13629856

What Socratic holds

Textmetadata
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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 Socratic graph.