Evidence map›Paper›PMID 36138865›Full record

ReviewBrain sciences2022

Autoimmune Encephalitis: A Physician's Guide to the Clinical Spectrum Diagnosis and Management.

Arpan Patel, Yue Meng, Amanda Najjar, Fred Lado, Souhel Najjar

Abstract readReview
In one paragraph

Review in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Arpan PatelDepartment of Neurology, The University of Kansas School of Medicine, The University Kansas Medical Center, 3599 Rainbow Boulevard, Kansas City, KS 66103, USA.
Yue MengStanford University School of Medicine, Stanford Health Care, Palo Alto, CA 94305, USA.
Amanda NajjarFerkauf Graduate School of Psychology, Yeshiva University, Bronx, NY 11549, USA.
Fred LadoDepartment of Neurology, Zucker School of Medicine at Hofstra/Northwell, New York, NY 11549, USA.
Souhel NajjarDepartment of Neurology, Zucker School of Medicine at Hofstra/Northwell, New York, NY 11549, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapidly expanding spectrum of autoimmune encephalitis in the last fifteen years is largely due to ongoing discovery of many neuronal autoantibodies. The diagnosis of autoimmune encephalitis can be challenging due to the wide spectrum of clinical presentations, prevalence of psychiatric features that mimic primary psychiatric illnesses, frequent absence of diagnostic abnormalities on conventional brain MR-imaging, non-specific findings on EEG testing, and the lack of identified IgG class neuronal autoantibodies in blood or CSF in a subgroup of patients. Early recognition and treatment are paramount to improve outcomes and achieve complete recovery from these debilitating, occasionally life threatening, disorders. This review is aimed to provide primary care physicians and hospitalists who, together with neurologist and psychiatrists, are often the first port of call for individuals presenting with new-onset neuropsychiatric symptoms, with up-to-date data and evidence-based approach to the diagnosis and management of individuals with neuropsychiatric disorders of suspected autoimmune origin.

Indexed as

anti-NMDA encephalitisautoimmune encephalitisdiagnosis autoimmune encephalitisencephalitisencephalitis symptomsparaneoplasticpathogenesis autoimmune encephalitisreview autoimmune encephalitistreatment autoimmune encephalitis

Identifiers

PMID36138865
PMCPMC9497072

What OpenQuestion holds

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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.