Evidence map›Paper›PMID 42629595›Full record

ArticleEuropean journal of neurology2026

Myasthenia Gravis (MG) Resource Utilization, Epidemiology, Survival, and Treatment Patterns (MG-REST): Estimating the Clinical and Economic Burden in Ontario, Canada.

Carolina Barnett-Tapia, Kobina Quansah, Aysegul Erman, Nikhil Nath, Shane Golden, Ryan Ng, Arushi Sharma, Ari Breiner

Abstract read
In one paragraph

Article in European journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Carolina Barnett-TapiaInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.ORCID https://orcid.org/0000-0001-5546-0221
Kobina QuansahJohnson & Johnson Innovative Medicine, Toronto, Canada.
Aysegul ErmanJohnson & Johnson Innovative Medicine, Toronto, Canada.
Nikhil NathIQVIA Solutions Inc., Toronto, Canada.
Shane GoldenIQVIA Solutions Inc., Toronto, Canada.
Ryan NgIQVIA Solutions Inc., Toronto, Canada.ORCID https://orcid.org/0000-0002-9929-3645
Arushi SharmaIQVIA Solutions Inc., Toronto, Canada.
Ari BreinerDivision of Neurology, Department of Medicine, University of Ottawa and the Ottawa Hospital Research Institute, Ottawa, Canada.

Funding

Johnson and Johnson
6 · The paper itself

Abstract

objectiveThe study purpose was to quantify the epidemiology, healthcare resource utilization (HCRU), costs, survival, and treatment patterns of myasthenia gravis (MG) in Canada using population-based administrative data.

methodsA retrospective cohort study was conducted using administrative data in Ontario, Canada from 2013 to 2020. MG cases were identified using a validated algorithm. Outcomes included MG incidence and prevalence, myasthenic crisis incidence and prevalence, mortality, survival, HCRU, healthcare costs, and treatment patterns (among patients receiving public drug coverage; i.e., individuals ≥ 65 years).

resultsThe cohort included 2601 individuals with MG (mean age 65.7 years; 46.7% female). Standardized incidence remained stable (3.2-4.0 per 100,000), while prevalence increased from 36 to 42 per 100,000 from 2013/14 to 2019/20. Myasthenic crisis occurred in 8.9% of individuals over the study, with a post-diagnosis incidence rate of 2.6 per 100 person-years and 30-day mortality of 28.1%. 5-year overall survival was 75%, declining to 39% among those with crisis. Mean annual HCRU and direct costs were highest in the first-year post-diagnosis (10.0 specialists visits and CAD $31,693), decreasing in subsequent years. Mean crisis-related costs were CAD $32,948 per person-month in the first 90 days after crisis. During the study among patients ≥ 65 years, most (77.9%) received AChE inhibitors, and excluding AChE inhibitors, corticosteroids were the most common first-line treatment (62.7%).

conclusionsMG imposes a substantial clinical and economic burden particularly among patients experiencing myasthenic crisis. These findings underscore the need for early intervention and improved access to advanced therapies to mitigate long-term morbidity and healthcare costs.

Indexed as

Cost of IllnessHealth Care CostsMyasthenia GravisPatient Acceptance of Health CareAdultAgedAged, 80 and overFemaleHumansIncidenceMaleMiddle AgedOntarioPrevalenceRetrospective Studiesepidemiologyhealthcare resource usemyasthenia gravismyasthenic crisistreatment

Identifiers

PMID42629595
PMCPMC13498700

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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.