Evidence map›Paper›PMID 33976421›Full record

ReviewNature reviews. Immunology2021

Autoantibodies in neurological disease.

Harald Prüss

Open access · bronzeAbstract readReview
In one paragraph

Review in Nature reviews. Immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 3 pooled it
25.8field-weighted citation impact, top 1% 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

178 citing papers in PubMed, 3 syntheses or guidelines pooled it, 312 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  8. Neuronal Antibodies in Patients With Atypical Parkinsonism.Neurology(R) neuroimmunology & neuroinflammation · 2026
    Observational
  9. Immune-mediated excitotoxicity in brain disorders.Nature reviews. Immunology · 2026
    Review
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118 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Harald PrüssGerman Center for Neurodegenerative Diseases (DZNE) Berlin, Berlin, Germany. harald.pruess@charite.de.ORCID 0000-0002-8283-7976
German Center for Neurodegenerative Diseases · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The realization that autoantibodies can contribute to dysfunction of the brain has brought about a paradigm shift in neurological diseases over the past decade, offering up important novel diagnostic and therapeutic opportunities. Detection of specific autoantibodies to neuronal or glial targets has resulted in a better understanding of central nervous system autoimmunity and in the reclassification of some diseases previously thought to result from infectious, 'idiopathic' or psychogenic causes. The most prominent examples, such as aquaporin 4 autoantibodies in neuromyelitis optica or NMDAR autoantibodies in encephalitis, have stimulated an entire field of clinical and experimental studies on disease mechanisms and immunological abnormalities. Also, these findings inspired the search for additional autoantibodies, which has been very successful to date and has not yet reached its peak. This Review summarizes this rapid development at a point in time where preclinical studies have started delivering fundamental new data for mechanistic understanding, where new technologies are being introduced into this field, and - most importantly - where the first specifically tailored immunotherapeutic approaches are emerging.

Indexed as

AutoimmunityAnimalsAquaporin 4AutoantibodiesBrainEncephalitisHumansNeuromyelitis OpticaReceptors, N-Methyl-D-AspartateAquaporin 4AutoantibodiesReceptors, N-Methyl-D-Aspartate

Identifiers

PMID33976421
PMCPMC8111372
OpenAlexW3160102114

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.