Evidence map›Paper›PMID 37759888›Full record

ReviewBrain sciences2023

Diagnosis and Management of Seronegative Myasthenia Gravis: Lights and Shadows.

Claudia Vinciguerra, Liliana Bevilacqua, Antonino Lupica, Federica Ginanneschi, Giuseppe Piscosquito, Nicasio Rini, Alessandro Rossi, Paolo Barone, Filippo Brighina, Vincenzo Di Stefano

Abstract readReview
In one paragraph

Review in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Targeting pathogenic Th17.1 cells via JAK-STAT3 pathway: A novel approach with tofacitinib for refractory myasthenia gravis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  9. Article
  10. Article
  11. Frontiers in immunology · 2026
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Claudia VinciguerraNeurology Unit, Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, 84131 Salerno, Italy.
Liliana BevilacquaNeurology Unit, Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, 84131 Salerno, Italy.
Antonino LupicaNeurology Unit, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0003-1499-9460
Federica GinanneschiDepartment of Medical, Surgical and Neurological Sciences, University of Siena, 53100 Siena, Italy.
Giuseppe PiscosquitoNeurology Unit, Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, 84131 Salerno, Italy.
Nicasio RiniNeurology Unit, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy.
Alessandro RossiDepartment of Medical, Surgical and Neurological Sciences, University of Siena, 53100 Siena, Italy.
Paolo BaroneNeurology Unit, Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, 84131 Salerno, Italy.
Filippo BrighinaNeurology Unit, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0001-5875-3126
Vincenzo Di StefanoNeurology Unit, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0001-9805-1655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myasthenia gravis (MG) is an antibody-mediated neuromuscular disease affecting the neuromuscular junction. In most cases, autoantibodies can be detected in the sera of MG patients, thus aiding in diagnosis and allowing for early screening. However, there is a small proportion of patients who have no detectable auto-antibodies, a condition termed "seronegative MG" (SnMG). Several factors contribute to this, including laboratory test inaccuracies, decreased antibody production, immunosuppressive therapy, immunodeficiencies, antigen depletion, and immune-senescence. The diagnosis of SnMG is more challenging and is based on clinical features and neurophysiological tests. The early identification of these patients is needed in order to ensure early treatment and prevent complications. This narrative review aims to examine the latest updates on SnMG, defining the clinical characteristics of affected patients, diagnostic methods, management, and therapeutic scenarios.

Indexed as

acetylcholine receptor (AChR)antibodieslow-density lipoprotein receptor-related protein 4 (LRP4)muscle-specific tyrosine kinases antibodies (MuSKs)myasthenia gravisneuromuscular junction

Identifiers

PMID37759888
PMCPMC10526522

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.