Evidence map›Paper›PMID 33792967›Full record

ArticleMuscle & nerve2021

Telephone consultation for myasthenia gravis care during the COVID-19 pandemic: Assessment of a novel virtual myasthenia gravis index.

Deepak Menon, Sara Alnajjar, Carolina Barnett, Joy Vijayan, Hans Katzberg, Davood Fathi, Monica Alcantara, Vera Bril

Open access · bronzeAbstract read
In one paragraph

Article in Muscle & nerve, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability.Annals of clinical and translational neurology · 2026
    Trial
  2. Trial
  3. Article
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  6. Development and validation of the Myasthenia Gravis TeleScore (MGTS).Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Article
  7. Article
  8. 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

8 authors at 1 institution in 1 country.

Deepak MenonEllen & Martin Prosserman Centre for Neuromuscular Diseases, University Health Network, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-7360-417X
Sara AlnajjarEllen & Martin Prosserman Centre for Neuromuscular Diseases, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Carolina BarnettEllen & Martin Prosserman Centre for Neuromuscular Diseases, University Health Network, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-5546-0221
Joy VijayanEllen & Martin Prosserman Centre for Neuromuscular Diseases, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Hans KatzbergEllen & Martin Prosserman Centre for Neuromuscular Diseases, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Davood FathiEllen & Martin Prosserman Centre for Neuromuscular Diseases, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Monica AlcantaraEllen & Martin Prosserman Centre for Neuromuscular Diseases, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Vera BrilEllen & Martin Prosserman Centre for Neuromuscular Diseases, University Health Network, University of Toronto, Toronto, Ontario, Canada.
University Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION/

aimsThe aim of the study was to determine the association between the virtual Myasthenia Gravis Impairment Index (vMGII) with other patient-reported outcomes (PROs) of myasthenia gravis (MG) and its usefulness in telephone consultations with MG patients.

methodsThis was a retrospective case series in which vMGII score along with virtual Single Simple Question (vSSQ), virtual Patient-Acceptable Symptom State PASS (vPASS) response, and patient disease status based on Myathenia Gravis Foundation of America postintervention status were collected during telephone consultation along with the MGII, SSQ, and PASS responses during the preceding in-person clinic visits.

resultsIn 214 patients, the mean difference of vMGII between the vPASS "Yes" and "No" groups was -14.2 ± 1.4 (95% confidence interval, -16.9 to -11.3; P < .001) with mean vMGII for vPASS "Yes" group being 6.4 ± 7.7 and vPASS "No" being 20.5 ± 11.5. A vMGII of 11.5 or higher predicted vPASS "yes" response with a sensitivity of 78.7% and specificity of 81.4%. A strong negative correlation was found between the vMGII and vSSQ (r = -.667; P < .001). The mean vMGII was 0.48 ± 1.42 for patients in remission, and 9.31 ± 10.93 for improved, 9.32 ± 8.79 for stable, and 22.58 ± 14.04 for worsened groups (P < .001). These associations were the same as those obtained during the preceding in-person clinic visit and the direction of change in MGII scores also indicated change in disease status. DISCUSSION: vMGII is an effective measure to assess an MG patient's disease status in telephone consultations and relates well with other PRO measures. The vMGII remains reliable for assessing MG disease status even with removal of the physical examination component.

Indexed as

Severity of Illness IndexTelephoneAgedCOVID-19FemaleHumansMaleMiddle AgedMyasthenia GravisRetrospective StudiesTelemedicinemyasthenia gravisMyasthenia Gravis Impairment Indexpatient-reported outcomestelephone consultation

Identifiers

PMID33792967
PMCPMC8251129
OpenAlexW3146861030

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.