Evidence map›Paper›PMID 41843168›Full record

ArticleJournal of neurology2026

Prevalence and profiles of clinically diagnosed autoimmune cerebellar ataxia in a Japanese nationwide survey.

Shintaro Fujii, Hiroaki Yaguchi, Akihiko Kudo, Katsuki Eguchi, Taichi Nomura, Hiroshi Hayashi, Keiko Tanaka, Makoto Yoneda, Akio Kimura, Takayoshi Shimohata and 4 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

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

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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5 · Who and what money

Authors and funding

14 authors.

Shintaro Fujii *Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N-15 W-7, Kita-Ku, Sapporo, Japan.
Hiroaki Yaguchi *Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N-15 W-7, Kita-Ku, Sapporo, Japan. yaguchi-h@pop.med.hokudai.ac.jp.ORCID http://orcid.org/0000-0001-6643-8740
Akihiko KudoDepartment of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N-15 W-7, Kita-Ku, Sapporo, Japan.
Katsuki EguchiDepartment of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N-15 W-7, Kita-Ku, Sapporo, Japan.
Taichi NomuraDepartment of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N-15 W-7, Kita-Ku, Sapporo, Japan.
Hiroshi HayashiSection for Dental Innovation, Faculty of Dental Medicine and Graduate School of Dental Medicine, Hokkaido University, Sapporo, Japan.
Keiko TanakaDepartment of Animal Model Development, Brain Research Institute, Niigata University, Niigata, Japan.
Makoto YonedaFaculty of Nursing and Social Welfare Sciences, Fukui Prefectural University, Eiheiji, Japan.
Akio KimuraDepartment of Neurology, Gifu University Graduate School of Medicine, Gifu, Japan.
Takayoshi ShimohataDepartment of Neurology, Gifu University Graduate School of Medicine, Gifu, Japan.
Yuji TakahashiDepartment of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan.
Hidehiro MizusawaDepartment of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan.
Ichiro YabeDepartment of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N-15 W-7, Kita-Ku, Sapporo, Japan. yabe@med.hokudai.ac.jp.
Japan Consortium of ACA(JAC-ACA) group

Funding

Japan Agency for Medical Research and Development JP21ek0109532Japan Agency for Medical Research and Development JP22ek0109615Japan Agency for Medical Research and Development JP24ek0109734Japan Agency for Medical Research and Development JP25ek0109806Japan Society for the Promotion of Science JP 23K06940Research Committee for Ataxic Disease JPMH23FC1010)
6 · The paper itself

Abstract

backgroundAutoimmune cerebellar ataxia (ACA) is a potentially treatable cause of cerebellar dysfunction, but remains underrecognized because of diagnostic challenges, including limited access to autoantibody testing and heterogeneous clinical presentations. We aimed to describe the clinical and laboratory characteristics of patients with clinically diagnosed ACA (cdACA) in Japan, based on expert diagnoses, and evaluate associations between clinical factors and response to immunotherapy.

methodsThis study was a retrospective, multi-center, descriptive study based on a two-step nationwide survey. We inquired at facilities accredited by the Japanese Society of Neurology about the number of patients with cdACA. Furthermore, we asked the facilities with cdACA experience for clinical information.

resultsOf 92 cdACA patients, 96.7% had isolated/predominant cerebellar symptoms. Autoantibodies associated with ACA were detected in 47 (51.1%) patients, with glutamic acid decarboxylase (GAD) antibodies being most frequent. 25 (27.2%) patients had concomitant cancer. Among 80 patients who received immunotherapy, 53 (66.2%) responded positively. Responders were more often female (p = 0.006), and had shorter median time to treatment (71 vs 344 days, p = 0.010) and lower CSF protein (40.65 vs 71.05 mg/dL, p = 0.003). Patients without malignancy responded more frequently (p = 0.006).

conclusionThis nationwide study provides the first real-world insights into the clinical characteristics and management of cdACA in Japan. Although these findings should be interpreted with caution due to diagnostic heterogeneity and the retrospective study design, some patients with concomitant cancer may also show functional improvement following immunotherapy. In the future, there should be further accumulation of ACA cases and the establishment of diagnostic criteria for ACA.

Indexed as

Autoimmune Diseases of the Nervous SystemCerebellar AtaxiaAdultAgedAged, 80 and overAutoantibodiesEast Asian PeopleFemaleGlutamate DecarboxylaseHumansImmunotherapyJapanMaleMiddle AgedPrevalenceRetrospective StudiesAutoantibodiesGlutamate DecarboxylaseAutoantibodyAutoimmune cerebellar ataxia (ACA)Clinically diagnosed ACA (cdACA)Nationwide survey

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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.