Evidence map›Paper›PMID 37090042›Full record

ReviewAnnals of translational medicine2023

Autoantibodies detection in anti-N-methyl-D-aspartate receptor encephalitis.

Jiayu Li, Qi Wang, Honghao Wang

Open access · diamondAbstract readReview
In one paragraph

Review in Annals of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
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

3 authors at 3 institutions in 1 country.

Jiayu LiDepartment of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qi WangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Honghao WangDepartment of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Guangdong Provincial Hospital of Traditional Chinese Medicine · CNGuangzhou University of Chinese Medicine · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune encephalitis (AE) covers a group of neurological diseases caused by autoantibodies. AE is severe but treatable. It has attracted more and more attention currently. Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is the most common AE characterized by specific autoantibody mainly against NMDAR subunit 1. Cell-based assays (CBA) on human embryonic kidney 293 (HEK293) cells and immunohistochemistry (IHC) on rat brain tissue have been widely used to detect antibody in patients with AE. However, few studies focused on the overview of these assays detecting autoantibodies in AE. Here we reviewed the detection assays in AE and compared the sensitivity and specificity of CBA and IHC. It's found that IHC got a higher positive rate than CBA in both serum and cerebrospinal fluid (CSF) when screening potential AE, while CBA was more specific. Besides, more positive samples were found in CSF than in serum by either IHC or CBA. Hence, both serum and CSF should be sent to detect antibodies by two assays to avoid misdiagnosis. CSF antibody titers were believed more clinically relevant. When positive results were shown in IHC but negative in CBA, other kinds of antibodies associated AE instead of anti-NMDAR encephalitis should be taken into account. Further studies should pay attention to serum testing for diagnosis or assessment of the disease, as CSF testing is invasive and not always available.

Indexed as

antibody detectionAnti-N-methyl-D-aspartate receptor encephalitis (NMDAR encephalitis)cell-based assay (CBA)immunohistochemistry (IHC)

Identifiers

PMID37090042
PMCPMC10116423
OpenAlexW3180658608

What OpenQuestion holds

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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.