Evidence map›Paper›PMID 32890817›Full record

ArticleMultiple sclerosis and related disorders2020

Evaluation of the rate of COVID-19 infection, hospitalization and death among Iranian patients with multiple sclerosis.

Mohammad Ali Sahraian, Amirreza Azimi, Samira Navardi, Sara Ala, Abdorreza Naser Moghadasi

Open access · bronzeAbstract read
In one paragraph

Article in Multiple sclerosis and related disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 10 pooled it
2.1field-weighted citation impact, top 7% 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

54 citing papers in PubMed, 10 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. Rituximab for people with multiple sclerosis.The Cochrane database of systematic reviews · 2025
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  4. Systematic review of risk of SARS-CoV-2 infection and severity of COVID-19 with therapies approved to treat multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Pooled it
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  6. Rituximab for people with multiple sclerosis.The Cochrane database of systematic reviews · 2021
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  7. The prevalence of COVID-19 infection in patients with multiple sclerosis (MS): a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Pooled it
  8. COVID-19 Among Patients With Multiple Sclerosis: A Systematic Review.Neurology(R) neuroimmunology & neuroinflammation · 2021
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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

5 authors at 1 institution in 1 country.

Mohammad Ali SahraianMultiple Sclerosis Research Center, Neuroscience institute, Tehran University of Medical Sciences, Tehran, Iran.
Amirreza AzimiMultiple Sclerosis Research Center, Neuroscience institute, Tehran University of Medical Sciences, Tehran, Iran.
Samira NavardiMultiple Sclerosis Research Center, Neuroscience institute, Tehran University of Medical Sciences, Tehran, Iran.
Sara AlaMultiple Sclerosis Research Center, Neuroscience institute, Tehran University of Medical Sciences, Tehran, Iran.
Abdorreza Naser MoghadasiMultiple Sclerosis Research Center, Neuroscience institute, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: abdorrezamoghadasi@gmail.com.
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 is increasingly expanding all over the world. People who have an underlying disease or taking immunosuppressive drugs are generally more likely to be infected than the others. Multiple sclerosis (MS) patients may also be at risk of the disease and its complications depending on the medication they are taking. In this study, we evaluated a large population of patients with MS with different disease modifying drugs to show if any of them increases the risk. In addition, this study evaluates the incidence of COVID-19 in patients with MS, the rate of hospitalization or death in these patients.

methodThis study was performed at the MS Clinic of Sina Hospital. All patients were contacted and their demographic characteristics were recorded. They were then asked about their COVID-19 symptoms. Patients with these symptoms were further evaluated. The documents were reviewed by treating neurologist and MS nurses to be sure about diagnosis of COVID19. The positive polymerase chain reaction (PCR) result or compatible lung computed tomography (CT) scan was acceptable for COVID-19 diagnosis.

results4647 patients answered the phone contact. Of these, 68 were infected with the COVID-19. The rate of hospitalization was 25% which is far more than general population. Two patients died from COVID-19. Rituximab was associated with increase rate of COVID-19 infection but not with hospitalization rate. There was no significant correlation between use of other drugs and rate of infection.

conclusionThis study revealed that the incidence of COVID-19 in MS patients is not more than general population, but the risk of hospitalization in these patients is higher than estimated for the disease. This highlights the importance of communicating to patients the severity of COVID-19 and the importance of risk reduction behaviors like social distancing and mask use.

Indexed as

COVID-19 Drug TreatmentAdultCOVID-19FemaleHospitalizationHumansImmunosuppressive AgentsIncidenceIranMaleMiddle AgedMultiple SclerosisRituximabSARS-CoV-2Immunosuppressive AgentsRituximabCOVID-19DeathHospitalizationMultiple sclerosis

Identifiers

PMID32890817
PMCPMC7456295
OpenAlexW3081058740

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.