Evidence map›Paper›PMID 30099585›Full record

ArticleJournal of neurology2018

Fatigue in patients with myasthenia gravis.

T M Alekseeva, Y V Gavrilov, O A Kreis, P O Valko, K P Weber, Y Valko

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
7.6field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Does myasthenia gravis impact cognitive functioning? A systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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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

6 authors at 4 institutions in 2 countries.

T M AlekseevaDepartment of Neurology and Psychiatry, Almazov National Medical Research Centre, 197341, St. Petersburg, Russia.
Y V GavrilovDepartment of General Pathology and Pathological Physiology, Institute of Experimental Medicine, St. Petersburg, Russia.
O A KreisDepartment of Neurology, North-Western State Medical University, 191015, St. Petersburg, Russia.
P O ValkoDepartment of Neurology, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, 8091, Zurich, Switzerland.
K P WeberDepartment of Neurology, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, 8091, Zurich, Switzerland.
Y ValkoDepartment of Neurology, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, 8091, Zurich, Switzerland. Yulia.Valko@usz.ch.ORCID http://orcid.org/0000-0002-6147-1960
University of Zurich · CHFederal Almazov North-West Medical Research Centre · RUInstitute of Experimental Medicine · RUNorth-Western State Medical University named after I.I. Mechnikov · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe subjective feeling of fatigue in myasthenia gravis (MG) is poorly elucidated, in part because it is often confounded with the objective sign of muscle fatigability. Another reason is the paucity of validated fatigue questionnaires in MG.

methodsWe applied the 9-item Fatigue Severity Scale (FSS) and the 40-item Fatigue Impact Scale (FIS) to 73 MG patients and 230 age- and sex-matched control subjects. We ascertained levels of education, marital status, and comorbidities such as depression, sleepiness, sleep times and sleep debt. Disease severity was graded according to the Myasthenia Gravis Foundation of America (MGFA) classification.

resultsAll fatigue scores, with the exception of the cognitive FIS subscale, were higher in MG patients than controls. In MG, the prevalence of fatigue (defined by FSS scores ≥ 4.0) was 70%. Multiple regression analyses revealed several independent associates of fatigue, including depression (all fatigue scales), MGFA stage (FSS, physical FIS), female sex (cognitive and psychosocial FIS), and sleep debt (physical FIS).

conclusionFatigue in MG is highly prevalent, mainly physical, and influenced by depressive symptoms, disease severity, female sex and sleep debt. Cognitive fatigue in MG may not be a direct disease manifestation, but secondary to depression. The FSS and FIS represent reliable and validated tools, appropriate to discern meaningful clinical aspects of fatigue in MG. Clinical recognition of the complexity of fatigue may foster individualized treatment approaches for affected MG patients.

Indexed as

AdultCohort StudiesFatigueFemaleHumansMaleMiddle AgedMyasthenia GravisPrevalencePsychometricsSeverity of Illness IndexTranslatingFatigue Impact ScaleFatigue Severity ScaleMyasthenia gravisRussian

Identifiers

PMID30099585
OpenAlexW2886997313

What OpenQuestion holds

Textmetadata
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.