Evidence map›Paper›PMID 37304124›Full record

ArticleFrontiers in public health2023

An online survey on clinical characteristics of otologic symptoms linked to COVID-19 infection.

Linsui Wu, Hongyi Peng, Yufeng He, Ling Pu, Shixun Zhong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. 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
0.6field-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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 1 institution in 1 country.

Linsui WuDepartment of Otolaryngology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hongyi PengDepartment of Otolaryngology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yufeng HeDepartment of Otolaryngology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ling PuDepartment of Otolaryngology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Shixun ZhongDepartment of Otolaryngology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
The Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To report the otologic symptoms that present in patients with COVID-19 infection and investigate the pathogenic characteristics during the period of the pandemic. Materials and methods: This cross-sectional descriptive study included participants with COVID-19 infection. COVID-19 infection was verified in these patients by nucleic acid test or antigen test. An online questionnaire was developed to analyze the association between the COVID-19 pandemic and the characteristics of otologic symptoms. Results: This study included 2,247 participants, of which nearly half had one or more otologic symptoms. The presents of otologic symptoms were associated with gender (OR = 1.575, Conclusion: The present study shows that otologic symptoms are common among the COVID-19 infected participants and that these symptoms mostly recover spontaneously. During the corona-virus pandemic, the involvement of the cochleovestibular system and facial nerve should not be overlooked while treating the COVID-19 infected individuals.

Indexed as

COVID-19Nucleic AcidsCross-Sectional StudiesHealth PersonnelHumansPandemicsNucleic Acidsclinical characteristicsCOVID-19cross-sectional surveyotologic symptomspathological mechanisms

Identifiers

PMID37304124
PMCPMC10254402
OpenAlexW4378386602

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.