Evidence map›Paper›PMID 33133718›Full record

ArticleCase reports in rheumatology2020

Complete Recovery from COVID-19 Bilateral Pneumonia in an Immunosuppressed Man with Immune-Mediated Necrotizing Myopathy.

Thomas C Bolig, Nada Abdulaziz, Elena Schiopu

Open access · goldAbstract readCase Reports
In one paragraph

Article in Case reports in rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Facial myonecrosis following COVID-19.Radiology case reports · 2022
    Article
  2. Article
  3. COVID-19 and Myositis: What We Know So Far.Current rheumatology reports · 2021
    Review
  4. Anti-HMGCR myopathy misdiagnosed as motor neuron disease and complicated with COVID-19 infection.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    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 1 institution in 1 country.

Thomas C BoligDepartment of Internal Medicine, University of Michigan, 1500 E Medical Ctr Dr, Ann Arbor, MI 48109, USA.ORCID https://orcid.org/0000-0002-8044-4108
Nada AbdulazizDepartment of Rheumatology, University of Michigan, 1500 E Medical Ctr Dr, Ann Arbor, MI 48109, USA.
Elena SchiopuDepartment of Internal Medicine, University of Michigan, 1500 E Medical Ctr Dr, Ann Arbor, MI 48109, USA.
University of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune-mediated necrotizing myopathy (IMNM) is a rare form of idiopathic immune myopathy (IIM) that requires immunotherapies, including immunosuppressive medications, if severe. There is a paucity of data regarding outcomes of patients with immune-mediated polymyositis who continue immunosuppressive medications during the COVID-19 pandemic. This is the first reported case of COVID-19 in a patient with IMNM. Despite being on two immunotherapies, having risk factors, and having radiographic abnormalities on chest X-ray, the patient had an unremarkable COVID-19 course. He was discharged from the emergency department with a 7-day course of azithromycin and quickly resumed his immunotherapies, but he experienced a flare in his myositis. The 14-week follow-up computed tomography (CT) was negative for residual pneumonitis or fibrosis. More data are needed regarding management and prognosis of patients with connective tissue diseases who become infected with SARS-CoV-2.

Identifiers

PMID33133718
PMCPMC7591954
OpenAlexW3094783241

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.