Evidence map›Paper›PMID 35942663›Full record

ReviewCurrent opinion in neurology2022

Novel pathophysiological insights in autoimmune myasthenia gravis.

Gianvito Masi, Kevin C O'Connor

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Efgartigimod improves triple-negative myasthenia gravis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Ravulizumab in Myasthenia Gravis: A Review of the Current Evidence.Neuropsychiatric disease and treatment · 2023
    Review
  15. 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

2 authors at 1 institution in 1 country.

Gianvito MasiDepartment of Neurology.
Kevin C O'ConnorDepartment of Neurology.
Yale University · US

Funding

Rare Disease Network for Myasthenia GravisU54NS115054 · NINDS · GEORGE WASHINGTON UNIVERSITY · PI Linda Louise Kusner · 2019 to 2026
$11.9M
Mechanisms of autoimmunity in myasthenia gravisR01AI114780 · NIAID · YALE UNIVERSITY · PI Kevin C O'Connor · 2016 to 2026
$4.7M
Molecular determinants driving diverse mechanisms of antibody-mediated pathologyR21AI164590 · NIAID · YALE UNIVERSITY · PI O'CONNOR, KEVIN C · 2021 to 2022
$461k
NIAID NIH HHS R01 AI114780NIAID NIH HHS R21 AI164590NINDS NIH HHS U54 NS115054
6 · The paper itself

Abstract

purpose of reviewThis review summarizes recent insights into the immunopathogenesis of autoimmune myasthenia gravis (MG). Mechanistic understanding is presented according to MG disease subtypes and by leveraging the knowledge gained through the use of immunomodulating biological therapeutics. RECENT

findingsThe past two years of research on MG have led to a more accurate definition of the mechanisms through which muscle-specific tyrosine kinase (MuSK) autoantibodies induce pathology. Novel insights have also emerged from the collection of stronger evidence on the pathogenic capacity of low-density lipoprotein receptor-related protein 4 autoantibodies. Clinical observations have revealed a new MG phenotype triggered by cancer immunotherapy, but the underlying immunobiology remains undetermined. From a therapeutic perspective, MG patients can now benefit from a wider spectrum of treatment options. Such therapies have uncovered profound differences in clinical responses between and within the acetylcholine receptor and MuSK MG subtypes. Diverse mechanisms of immunopathology between the two subtypes, as well as qualitative nuances in the autoantibody repertoire of each patient, likely underpin the variability in therapeutic outcomes. Although predictive biomarkers of clinical response are lacking, these observations have ignited the development of assays that might assist clinicians in the choice of specific therapeutic strategies. SUMMARY: Recent advances in the understanding of autoantibody functionalities are bringing neuroimmunologists closer to a more detailed appreciation of the mechanisms that govern MG pathology. Future investigations on the immunological heterogeneity among MG patients will be key to developing effective, individually tailored therapies.

Indexed as

Myasthenia GravisAutoantibodiesHumansImmunotherapyReceptors, CholinergicAutoantibodiesReceptors, Cholinergic

Identifiers

PMID35942663
PMCPMC9458626
OpenAlexW4290759761

What OpenQuestion holds

Textmetadata
LicenceTDM
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.