Evidence map›Paper›PMID 33371733›Full record

ArticleJournal of investigative medicine high impact case reports

Rhabdomyolysis in Patients Hospitalized With COVID-19 Infection: Five Case Series.

Shikha G Khosla, Eric S Nylen, Rahul Khosla

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of investigative medicine high impact case reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  8. From Immunogen to COVID-19 vaccines: Prospects for the post-pandemic era.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Shikha G KhoslaVeterans Affairs Medical Center, Washington, DC, USA.ORCID 0000-0002-1011-7451
Eric S NylenVeterans Affairs Medical Center, Washington, DC, USA.
Rahul KhoslaVeterans Affairs Medical Center, Washington, DC, USA.ORCID 0000-0003-3829-2064
George Washington University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel SARS-CoV-2 virus (severe acute respiratory syndrome coronavirus 2) is now known to cause acute respiratory distress, cytokine storm, and coagulopathy. Multiple other manifestations have been published in recent literature. Rhabdomyolysis is a syndrome of muscle damage, with release of intracellular contents into circulation. It is characterized by marked elevations of creatinine kinase levels and myoglobinuria. In this article, we describe a series of 5 cases who were admitted with COVID-19 pneumonia and had severe muscle injury, as demonstrated by significant elevation (>5 times upper limit of normal) of creatinine kinase levels likely secondary to SARS-CoV-2 virus. The median age for these patients was 65 years, and most of them suffered from diabetes and hyperlipidemia. All patients were hypertensive males. Four out of 5 patients had preserved kidney function at baseline and were chronic kidney disease (CKD) stage 2 or better. However, most of them suffered significant kidney injury and at the time of discharge one patient was CKD stage 2 or better, 2 were CKD stage 3 or worse, and 2 patients had renal failure and died due to complications of SARS-CoV-2 infection.

Indexed as

AgedCOVID-19Creatine KinaseDiabetes Mellitus, Type 2HospitalizationHumansHypertensionMaleMiddle AgedRenal Insufficiency, ChronicRhabdomyolysisSARS-CoV-2Creatine KinaseCOVID-19muscle injuryrhabdomyolysisSARS-CoV-2

Identifiers

PMID33371733
PMCPMC7780065
OpenAlexW3115693558

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.