Evidence map›Paper›PMID 36119957›Full record

ArticleInternational journal of preventive medicine2022

Predictors of Catching COVID-19 Infection during Pandemic Stage in Patients with Multiple Sclerosis (MS).

Mahsa Ghajarzadeh, Omid Mirmosayyeb, Negar Molazadeh, Mohammad Ali Sahraian, Simona Bonavita, Vahid Shaygannejad

Open access · goldAbstract read
In one paragraph

Article in International journal of preventive medicine, 2022. 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, top 90% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

6 authors at 4 institutions in 2 countries.

Mahsa GhajarzadehMultiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
Omid MirmosayyebIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Negar MolazadehMultiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Ali SahraianMultiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
Simona BonavitaDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.
Vahid ShaygannejadDepartment of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IRTehran University of Medical Sciences · IRNeuroscience Institute · ITUniversity of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with multiple sclerosis (MS) are considered at higher risk of COVID-19 infection due to treatment with immune modulators and immune-suppressive agents. The exact risk factors are not clear. So, we aimed to conduct a study to determine the predictors of catching COVID-19 infection during the pandemic stage in patients with multiple sclerosis (MS). Methods: We conducted a multicenter screening study and developed an online questionnaire to collect patients' self-reported demographic features along with MS-related and COVID-19-related information. The online questionnaire link was released by the Iran Multiple Sclerosis Society (IMSS) social media channel, accessible for 4160 MS patients totally and also was sent by WhatsApp for nonmember cases. Results: Totally, 1448 MS patients participated in our study. Twenty-five (1.7%) patients were diagnosed with COVID-19, from which 4 were hospitalized, 4 were treated with medical therapy, and 17 patients had home-quarantine. The patients with COVID-19 diagnosis were more frequently treated with rituximab (28% vs 24%, Conclusions: Patients with MS who have cardiovascular disease should be more monitored for COVID-19 infection as they are at higher risk of infection.

Indexed as

COVID-19Iranmultiple sclerosispredictor

Identifiers

PMID36119957
PMCPMC9470912
OpenAlexW4285505802

What OpenQuestion holds

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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.