Evidence map›Paper›PMID 32782765›Full record

ArticleEuropean journal of translational myology2020

Neuromuscular diseases and Covid-19: Advices from scientific societies and early observations in Italy.

Corrado Angelini, Gabriele Siciliano

Open access · greenAbstract read
In one paragraph

Article in European journal of translational myology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 20 citations in OpenAlex.

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  5. COVID-19 management in Iran and international sanctions.European journal of translational myology · 2022
    Review
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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

2 authors at 1 institution in 1 country.

Corrado AngeliniIRCCS San Camillo Hospital, Venice, Italy.
Gabriele SicilianoNeurological Clinics, University Hospital of Pisa, Italy.
IRCCS San Camillo Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The risk of a severe course of COVID-19 is increased in patients suffering with Neuromuscular disorders (NMD) due to the following comorbidities: muscular weakness of the chest and diaphragm, use of ventilator supports and/or presence of tracheostoma, weak airway clearance, cardiac involvement, rhabdomyolysis, comoribities, steroid and immunosuppressant treatments. NMD display varying levels of disability in people with the same diagnosis, thus it is difficult to give COVID-19 related general recommendations. Present advicess were designed for patients, caregivers, general neurologists and non-specialist medical providers. They address frequently asked questions and basic service requirements and are supported by a series of in-depth references. In this truly unprecedented situation, the clinical management of neuromuscular patients during the COVID-19 epidemics - taking into account the related difficulties (patients who have suspended ERT, difficulty in contacting the doctors, etc.) - we propose to use a telemedicine device, i.e. the AIGkit application (AIGkit app), promoted and developed in 2018 by Fabrizio Seidita on behalf of the Italian Glycogenosis Association (AIG). The app was born to allow patients with Pompe disease to receive as far as possible continuous monitoring of their health. The support of all colleagues of the Italian Association for Myology (AIM) should extend its use to all NMD patients and beyond.

Indexed as

advice from scientific societiesAIGkit applicationAIMCovid-19neuromuscular disorders

Identifiers

PMID32782765
PMCPMC7385692
OpenAlexW3048522994

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.