Evidence map›Paper›PMID 33321732›Full record

ArticlePathogens (Basel, Switzerland)2020

Putative Autoantigen Leiomodin-1 Is Expressed in the Human Brain and in the Membrane Fraction of Newly Formed Neurons.

David W Nauen, Michael C Haffner, Juyun Kim, Qizhi Zheng, Hao Yin, Angelo M DeMarzo, Vasiliki Mahairaki, Carlo Colantuoni, J Geoffrey Pickering, Tory P Johnson

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.3field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Lyme borreliosis.Nature reviews. Disease primers · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Nodding Syndrome: A Scoping Review.Tropical medicine and infectious disease · 2021
    Article
  14. Article
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

10 authors at 3 institutions in 2 countries.

David W NauenDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.ORCID 0000-0002-2652-9944
Michael C HaffnerDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Juyun KimDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Qizhi ZhengDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Hao YinRobarts Research Institute, Western University, London, ON N6A 3K7, Canada.
Angelo M DeMarzoDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Vasiliki MahairakiDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Carlo ColantuoniDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.ORCID 0000-0001-6818-6380
J Geoffrey PickeringRobarts Research Institute, Western University, London, ON N6A 3K7, Canada.ORCID 0000-0001-6474-3274
Tory P JohnsonDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Johns Hopkins University · USWestern University · CAUniversity of Maryland, Baltimore · US

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jinchong Xu · 2020 to 2026
$29.3M
NIA NIH HHS P30 AG066507
6 · The paper itself

Abstract

Nodding syndrome is a pediatric epilepsy disorder associated with

Indexed as

autoantibodyCNSleiomodin-1membraneneuronnodding syndrome

Identifiers

PMID33321732
PMCPMC7763904
OpenAlexW3110787687

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.