Evidence map›Paper›PMID 36047123›Full record

ArticleInternal medicine (Tokyo, Japan)2022

The Clinical Significance of Otolaryngology Manifestations in COVID-19 Pneumonia: A Single-center Retrospective Cohort Study.

Hiroyoshi Iwata, Takao Wakabayashi, Natsuko Inazawa

Abstract read
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Hiroyoshi IwataClinical Research and Quality Management Center, University of the Ryukyus Hospital, University of the Ryukyus, Japan.
Takao WakabayashiDepartment of General and Emergency Medicine, Japan Community Health-care Organization Sapporo Hokushin Hospital, Japan.
Natsuko InazawaDepartment of Pediatrics, Japan Community Health-care Organization Sapporo Hokushin Hospital, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective Although the absence of a runny nose and sore throat, both ear-nose-throat (ENT) symptoms, suggests community-acquired pneumonia (CAP), the association between ENT symptoms and coronavirus disease 2019 (COVID-19) pneumonia remains unclear. We therefore investigated the association between ENT symptoms and COVID-19 pneumonia. Methods We retrospectively recruited consecutive confirmed COVID-19 inpatients with and without pneumonia admitted to a single institution from April 1, 2020, to July 31, 2021. After a descriptive analysis, we implemented univariable and multivariable regression analyses to assess the association between ENT symptoms and COVID-19 pneumonia. Results The present study included 385 patients. Pneumonia patients exhibited lower rates of positive runny nose and sore throat than non-pneumonia patients. Univariable analyses found mean odds ratios of 0.59 and 0.61 and 95% confidence intervals (CIs) of 0.30-1.16 and 0.32-1.17 for runny nose and sore throat, respectively, and multivariable analyses found mean odds ratios of 0.73 and 0.70 and 95% CIs of 0.34-1.56 and 0.34-1.46, respectively. Conclusion Our study found no statistically significant association between ENT symptoms and COVID-19 pneumonia. Clinicians should be aware that, unlike CAP, there is no correlation between ENT symptoms and pneumonia among patients with COVID-19, so it is necessary to consider the possibility of pneumonia even in the presence of ENT symptoms.

Indexed as

COVID-19OtolaryngologyPharyngitisHumansPharynxRetrospective StudiesRhinorrheaSARS-CoV-2COVID-19pneumoniarunny nosesore throat

Identifiers

PMID36047123
PMCPMC9790773

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.