Evidence map›Paper›PMID 42842039›Full record

SynthesisJournal of neurology2026

Healthcare costs and burden of myasthenia gravis for patients and society: a systematic review.

Nils Erik Gilhus, Selma Conradi Melsom, Christoffer Bugge

Abstract readSystematic Review
In one paragraph

Synthesis in 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
–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

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

3 authors.

Nils Erik Gilhus *Department of Clinical Medicine, University of Bergen, Bergen, Norway. nils.gilhus@uib.no.ORCID http://orcid.org/0000-0001-6522-5102
Selma Conradi Melsom *Oslo Economics, Oslo, Norway.
Christoffer BuggeOslo Economics, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesNew and costly therapies for myasthenia gravis (MG) have been approved during the last years, and many more are in the pipeline. Cost-benefit analyses are needed as part of defining start and stop criteria for such treatments. In this systematic review, we examine healthcare costs associated with MG:

methodsA systematic literature search combined the word "myasthenia gravis" with "health resources", and "costs". 1374 records were identified initially, and 44 were included in the final review.

resultsDirect costs include treatment and follow-up in the primary and specialist health care. They were estimated to €3 500-12 000 per MG patient per year in the Nordic countries, similar in other European countries, and higher in United States. Indirect costs include productivity loss, welfare payments, time loss due to medical follow-up, and productivity loss for caregivers. They were estimated to €2 500-8 700 per patient per year in the Nordic countries, the highest figures appearing when all indirect costs were accounted for. A marked reduction in working capacity and an increase in welfare payments due to MG have been reported. Intangible costs include value of lost life-years and reduced quality of life, which are rarely assessed, but have been estimated to be half of the total societal MG costs. DISCUSSION: Total costs of MG need to be included together with the expected benefits from new treatments when performing cost-benefit analyses. Precise knowledge of such costs is essential for healthcare planning and to ensure the availability of optimal treatments.

Indexed as

Cost of IllnessHealth Care CostsMyasthenia GravisHumansCostsEpidemiologyHealthcareMortalityNeuromuscular disordersResourcesWorking capacity

Identifiers

PMID42842039
PMCPMC13645850

What OpenQuestion holds

Textmetadata
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Registered trials

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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.