Evidence map›Paper›PMID 36654638›Full record

ArticleCureus2022

Prolonged COVID-19 in a Multiple Sclerosis Patient Treated With Rituximab.

Nikos Kintrilis, Charilaos P Gkinos, Iosif Galinos

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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

3 authors at 2 institutions in 3 countries.

Nikos KintrilisDepartment of Physiology, National and Kapodistrian University of Athens, Athens, GRC.
Charilaos P GkinosSecond Department of Internal Medicine, 401 General Military Hospital of Athens, Athens, GRC.
Iosif GalinosInfectious Diseases Unit, 401 General Military Hospital of Athens, Athens, GRC.
Taizhou Second People's Hospital · CN401 General Military Hospital of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunocompromised patients commonly present prolonged viral shedding of the novel coronavirus SARS-CoV-2, detected through reverse transcriptase-polymerase chain reaction (RT-PCR) in nasopharyngeal or oropharyngeal swabs. The detection and estimation of the viral load in patients with COVID-19 is of utmost importance, not only for the effective isolation of the patient but also from a therapeutic point of view. In the current study, we present the case of an immunocompromised patient receiving rituximab infusions for the treatment of multiple sclerosis who exhibited COVID-19 clinical symptomatology for an extended period of time along with prolonged viral shedding while at the same time being unable to organize sufficient humoral immunity. Despite being fully vaccinated and having suffered symptomatic SARS-CoV-2 infections, antibodies against the virus remained undetected. Clinical relapse of his symptoms led to the trialing of a multitude of therapeutic interventions in order to combat the disease, with an extended remdesivir regimen proving the most efficacious in the alleviation of his symptoms. This case demonstrates how immunocompromised COVID-19 patients should be regarded under a different scope when it comes to the diagnosis, management, and resolution of their SARS-CoV-2 infection.

Indexed as

coronavirus diseasecovid-19humoral immunityimmunosuppressionlong covidnovel coronavirusremdesivirrituximabsars-cov-2vaccine

Identifiers

PMID36654638
PMCPMC9840416
OpenAlexW4311442084

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.