Evidence map›Paper›PMID 39630385›Full record

ArticleNeurology and therapy2025

Burden of Myasthenia Gravis in the Czech Republic: Analysis of the Nationwide Patient Registry.

Stanislav Voháňka, Aleš Tichopád, Magda Horáková, Jana Junkerová, Michala Jakubíková, Jiří Piťha, Michaela Týblová, Daniela Vlažná, Katarína Breciková, Jacek Cudny and 1 more

Abstract read
In one paragraph

Article in Neurology and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Stanislav VoháňkaDepartment of Neurology, Neuromuscular Centre, University Hospital Brno, Brno, Czech Republic.
Aleš TichopádDepartment of Biomedical Technology, Czech Technical University in Prague, Kladno, Czech Republic. ales.tichopad@fbmi.cvut.cz.
Magda HorákováDepartment of Neurology, Neuromuscular Centre, University Hospital Brno, Brno, Czech Republic.
Jana JunkerováDepartment of Neurology, University Hospital, Ostrava, Czech Republic.
Michala JakubíkováDepartment of Neurology and Center for Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic.
Jiří PiťhaDepartment of Neurology and Center for Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic.
Michaela TýblováDepartment of Neurology and Center for Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic.
Daniela VlažnáDepartment of Neurology, Neuromuscular Centre, University Hospital Brno, Brno, Czech Republic.
Katarína BrecikováCEEOR S.R.O., Prague, Czech Republic.
Jacek CudnyUCB Pharma, Warsaw, Poland.
Petr HájekUCB Pharma, Prague, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe main goal of this study was to describe the Czech population of patients with MG in terms of demographics, disease characteristics, management approaches, and treatment trends.

methodsWe selected all patients, both incident and prevalent, who were enrolled in the Czech MyReg registry between August 24, 2015 and November 19, 2021. For the descriptive analysis, all patients enrolled in the registry, regardless of their date of diagnosis or date of enrolment, were included. We analyzed the following disease-related endpoints: myasthenia gravis composite (MGC) score, forced vital capacity (FVC), and Myasthenia Gravis Foundation of America (MGFA) clinical classification.

resultsThe incidence showed a consistent increasing trend from 0.62 to 3.13. The mean MGC score was 5.0 (median 4.0, 95% CI 4.7, 5.3) representing mild form of MG. The difference in FVC from the predicted value in patients during and without myasthenic crisis was 58.93% (95% CI 37.27, 80.59) and 75.93% (95% CI 74.87, 77.00), respectively. We identified 70 patients (5.0%) with refractory MG, of whom 58.6% were female. The MGFA classifications in those with refractory vs. non-refractory disease was as follows: IIa 21.8% vs 23.2%, IIb 45.3% vs 33.6%, and IIIb 14.1% vs 4.6%, respectively.

conclusionOur analysis shows that the incidence of MG is increasing in the Czech Republic and that patients with refractory disease, of whom up to 58% are female, have a higher burden of disease than non-refractory patients.

Indexed as

Burden of diseaseFVCMGC scoreMGQoL15Myasthenia gravisRefractory patients

Identifiers

PMID39630385
PMCPMC11762035

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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.