Evidence map›Paper›PMID 33767779›Full record

ReviewJournal of medicine and life

The epidemiology of myasthenia gravis.

Ana-Maria Bubuioc, Aigerim Kudebayeva, Saule Turuspekova, Vitalie Lisnic, Maurizio Angelo Leone

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of medicine and life. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 6 pooled it
13.0field-weighted citation impact, top 1% 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

95 citing papers in PubMed, 6 syntheses or guidelines pooled it, 169 citations in OpenAlex.

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  15. Disease changes and cost analysis of myasthenia gravis: a 10 years retrospective study from a reference center in Italy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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35 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Ana-Maria BubuiocDepartment of Neurology, Nicolae Testemitanu State University of Medicine and Pharmacy Chisinau, the Republic of Moldova.ORCID https://orcid.org/0000-0002-3774-6063
Aigerim KudebayevaDepartment of Neurology, Kazakh Medical University of Continuing Education, Almaty, Kazakhstan.ORCID https://orcid.org/0000-0002-2556-1846
Saule TuruspekovaDepartment of Nervous Diseases with course of Neurosurgery, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.ORCID https://orcid.org/0000-0002-4593-3053
Vitalie LisnicDepartment of Neurology, Nicolae Testemitanu State University of Medicine and Pharmacy Chisinau, the Republic of Moldova.ORCID https://orcid.org/0000-0002-5432-8859
Maurizio Angelo LeoneNeurology Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.ORCID https://orcid.org/orcid.org/0000-0002-6339-5738
Nicolae Testemițanu State University of Medicine and Pharmacy · MDIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuromuscular junction (NMJ) disorders include several dysfunctions that ultimately lead to muscle weakness. Myasthenia gravis (MG) is the most prevalent NMJ disorder with a highly polymorphic clinical presentation and many different faces. Being an autoimmune disease, MG correlates with the presence of detectable antibodies directed against the acetylcholine receptor, muscle-specific kinase, lipoprotein-related protein 4, agrin, titin, and ryanodine in the postsynaptic membrane at the NMJ. MG has become a prototype serving to understand both autoimmunity and the function of the NMJ better. The aim of this review is to synthesize some of the epidemiological data available. Epidemiological data regarding MG are important for postulating hypotheses regarding its etiology and facilitating the description of MG subtypes. Thus, adequate documentation through broad databases is essential. The incidence and prevalence of MG reported around the globe have been rising steadily and consistently over the past decades. Ethnic aspects, gender-related differences, and environmental risk factors have been described, implying that these might contribute to a specific phenotype, further suggesting that MG may be considered an umbrella term that covers several clinical entities.

Indexed as

Age FactorsGenetic Predisposition to DiseaseHumansIncidenceMyasthenia GravisPrevalenceRisk Factorsautoimmunityepidemiologyincidencemyasthenia gravisprevalence

Identifiers

PMID33767779
PMCPMC7982252
OpenAlexW3137694525

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.