Evidence map›Paper›PMID 34334560›Full record

ArticleInternal medicine (Tokyo, Japan)2021

Prevalence of COVID-19 Mimics in the Emergency Department.

Satoshi Kurihara, Mikio Nakajima, Richard H Kaszynski, Yasuhiro Yamamoto, Koichiro Santo, Ryo Takane, Hayato Tokuno, Ayaka Ishihata, Hitoshi Ando, Maki Miwa and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 32% 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, 8 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 1 country.

Satoshi KuriharaDepartment of Emergency and General Medicine, Tokyo Metropolitan Hiroo Hospital, Japan.
Mikio NakajimaEmergency and Critical Care Center, Tokyo Metropolitan Hiroo Hospital, Japan.
Richard H KaszynskiDepartment of Emergency and General Medicine, Tokyo Metropolitan Hiroo Hospital, Japan.
Yasuhiro YamamotoDepartment of Pediatrics, Tokyo Metropolitan Hiroo Hospital, Japan.
Koichiro SantoDepartment of Emergency and General Medicine, Tokyo Metropolitan Hiroo Hospital, Japan.
Ryo TakaneEmergency and Critical Care Center, Tokyo Metropolitan Hiroo Hospital, Japan.
Hayato TokunoDepartment of Emergency and General Medicine, Tokyo Metropolitan Hiroo Hospital, Japan.
Ayaka IshihataEmergency and Critical Care Center, Tokyo Metropolitan Hiroo Hospital, Japan.
Hitoshi AndoDepartment of Emergency and General Medicine, Tokyo Metropolitan Hiroo Hospital, Japan.
Maki MiwaEmergency and Critical Care Center, Tokyo Metropolitan Hiroo Hospital, Japan.
Shoichiro HamadaEmergency and Critical Care Center, Tokyo Metropolitan Hiroo Hospital, Japan.
Tomotsugu NakanoEmergency and Critical Care Center, Tokyo Metropolitan Hiroo Hospital, Japan.
Masamitsu ShirokawaDepartment of Emergency and General Medicine, Tokyo Metropolitan Hiroo Hospital, Japan.
Hideaki GotoDepartment of Emergency and General Medicine, Tokyo Metropolitan Hiroo Hospital, Japan.
Yoshihiro YamaguchiDepartment of Trauma and Critical Care Medicine, Kyorin University School of Medicine, Japan.
Tokyo Metropolitan Hiroo Hospital · JPKyorin University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective Due to the lack of specific clinical manifestations and symptoms, it is difficult to distinguish COVID-19 from mimics. A common pitfall is to rush to make a diagnosis when encountering a patient with COVID-19-like symptoms. The present study describes a series of COVID-19 mimics using an outpatient database collected from a designated COVID-19 healthcare facility in Tokyo, Japan. Methods We established an emergency room (ER) tailored specifically for patients with suspected or confirmed COVID-19 called the "COVID-ER." In this single-center retrospective cohort study, we enrolled patients who visited the COVID-ER from February 1 to September 5, 2020. The outcomes included the prevalence of COVID-19, admission, potentially fatal diseases and final diagnosis. Results We identified 2,555 eligible patients. The median age was 38 (interquartile range, 26-57) years old. During the study period, the prevalence of COVID-19 was 17.9% (457/2,555). Non-COVID-19 diagnoses accounted for 82.1% of all cases. The common cold had the highest prevalence and accounted for 33.0% of all final diagnoses, followed by gastroenteritis (9.4%), urinary tract infections (3.8%), tonsillitis (2.9%), heat stroke (2.6%) and bacterial pneumonia (2.1%). The prevalence of potentially fatal diseases was 14.2% (298/2,098) among non-COVID-19 patients. Conclusion Several potentially fatal diseases remain masked among the wave of COVID-19 mimics. It is imperative that a thorough differential diagnostic panel be considered prior to the rendering of a COVID-19 diagnosis.

Indexed as

COVID-19AdultCOVID-19 TestingEmergency Service, HospitalHumansMiddle AgedPrevalenceRetrospective StudiesSARS-CoV-2COVID-19differential diagnosisJapanmimicSARS-CoV-2

Identifiers

PMID34334560
PMCPMC8545642
OpenAlexW3191108072

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.