Evidence map›Paper›PMID 36531637›Full record

ArticleHeliyon2022

A case of Legionnaires' disease with severe rhabdomyolysis misdiagnosed as COVID-19.

Basak Sayinalp-Arslan, Ahmet Gorkem Er, Mehmet Yildirim, Banu Kilicaslan, Seda Banu Akinci, Omrum Uzun

Abstract readCase Reports
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Basak Sayinalp-ArslanHacettepe University Faculty of Medicine, Department of Internal Medicine, Ankara, Turkey.
Ahmet Gorkem ErHacettepe University Faculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Ankara, Turkey.
Mehmet YildirimHacettepe University Faculty of Medicine, Department of Internal Medicine, Division of Intensive Care, Ankara, Turkey.
Banu KilicaslanHacettepe University Faculty of Medicine, Department of Anesthesiology and Reanimation, Ankara, Turkey.
Seda Banu AkinciHacettepe University Faculty of Medicine, Department of Anesthesiology and Reanimation, Ankara, Turkey.
Omrum UzunHacettepe University Faculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 case numbers have begun to rise with the recently reported Omicron variant. In the last two years, COVID-19 is the first diagnosis that comes to mind when a patient is admitted with respiratory symptoms and pulmonary ground-glass opacities. However, other causes should be kept in mind as well. Here we present a case of Legionnaires' disease misdiagnosed as COVID-19. Case presentation: A 48-year-old male was admitted with complaints of dry cough and dyspnea. Chest computed-tomography revealed bilateral ground-glass opacities; therefore, a preliminary diagnosis of COVID-19 was made. However, two consecutive COVID PCR tests were negative and the patient deteriorated rapidly. As severe rhabdomyolysis and acute renal failure were present, Legionnaires' disease was suspected. Urine antigen test for Discussion: Legionnaires' disease and COVID-19 may present with similar signs and symptoms. They also share common risk factors and radiological findings. Conclusions: Shared clinical and radiological features between COVID-19 and other causes of acute respiratory failure pose a challenge in diagnosis. Other causes such as Legionnaires' disease must be kept in mind and appropriate diagnostic tests should be performed accordingly.

Indexed as

COVID-19 pandemicLegionellaRhabdomyolysisSARS-CoV-2

Identifiers

PMID36531637
PMCPMC9734067

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.