Evidence map›Paper›PMID 38745683›Full record

ArticleIranian journal of otorhinolaryngology2024

Google Trends Analysis of Otologic Symptom Searches Following COVID-19.

Joshua K Kim, Karen Tawk, Jonathan M Kim, Hamid R Djalilian, Mehdi Abouzari

Abstract read
In one paragraph

Article in Iranian journal of otorhinolaryngology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Joshua K KimSchool of Medicine, Duke University, Durham, NC, United States.
Karen TawkDepartment of Otolaryngology-Head and Neck Surgery, University of California, Irvine, CA, United States.
Jonathan M KimDepartment of Otolaryngology-Head and Neck Surgery, University of California, Irvine, CA, United States.
Hamid R DjalilianDepartment of Otolaryngology-Head and Neck Surgery, University of California, Irvine, CA, United States.
Mehdi AbouzariDepartment of Otolaryngology-Head and Neck Surgery, University of California, Irvine, CA, United States.

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
NRSA Training CoreTL1TR001415 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI CAIOZZO, VINCENT JAMES, HEAD, ELIZABETH · 2015 to 2023
$4.2M
NCATS NIH HHS TL1 TR001415NCATS NIH HHS UL1 TR001414
6 · The paper itself

Abstract

Introduction: COVID-19 infection was accompanied by otologic symptoms, a pattern that was captured early by Google Trends. The objective of this study is to investigate searches for otologic symptoms and identify correlations with the pandemic onset. Materials and Methods: Search interest for otologic symptoms was gathered using Google Trends from two years before and two years following the pandemic start date. A two-tailed Mann-Whitney U test was used to identify significant changes and effect size. Results: In total, search interest for 14 terms was collected, with significant changes identified in 11. Six terms showed increased search interest, with the most significant rises observed for headache (r=0.589, Conclusion: COVID-19 infection is often accompanied otologic symptoms and holds a diagnostic role. Fluctuating search interest may be attributed to a true increase in cases, media trends, or people's desires to stay informed. Google Trends robustly captured trends in search interest and presented itself as a valuable epidemiological tool.

Indexed as

Google TrendsOtologic SymptomsPandemicSearch InterestSearch Trends

Identifiers

PMID38745683
PMCPMC11090093

What OpenQuestion holds

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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.