Evidence map›Paper›PMID 35165599›Full record

ArticleCureus2022

Impact of COVID-19 on Online Interest in Urologic Conditions: An Analysis of Google Trends.

Lakshay Khosla, Daniel Bockelman, Susan Gong, Gabriel Vizgan, Abdo E Kabarriti

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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 2 institutions in 1 country.

Lakshay KhoslaDepartment of Urology, State University of New York Downstate Health Sciences University, New York City, USA.
Daniel BockelmanDepartment of Urology, State University of New York Downstate Health Sciences University, New York City, USA.
Susan GongDepartment of Urology, State University of New York Downstate Health Sciences University, New York City, USA.
Gabriel VizganDepartment of Urology, State University of New York Downstate Health Sciences University, New York City, USA.
Abdo E KabarritiDepartment of Urology, State University of New York Downstate Health Sciences University, New York City, USA.
SUNY Downstate Health Sciences University · USState University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background With COVID-19 leading to several isolation measures for preventative care, health care utilization, especially within urology, decreased substantially. The impact of COVID-19 on the population's interests in urologic conditions remains to be established. By using the platform of Google Trends, which allows search behaviors and interest in healthcare topics to be quantified over time, we investigated the impact of COVID-19 on online search behaviors relating to common urologic conditions in the US. Methods The platform of Google Trends was utilized to analyze online interest in twelve common urologic conditions in the US from October 1, 2018 to August 1, 2021 (divided into "pre-COVID" and "COVID" periods at March 1, 2020). Search volume index (SVI), a measure of relative search volume on Google, data sets for the US, top queried and populated states, rising queries, and top queries were retrieved and analyzed for all conditions. Pre-COVID and COVID median SVIs were compared using the Mann Whitney U test, and correlations were analyzed using Spearman's rank-order correlation test. Results For all twelve urologic conditions, rising and top queries were often related to symptoms, treatments, and COVID-19. COVID showed higher SVIs for erectile dysfunction (p=0.04) and lower SVIs for bladder cancer (p<0.01), hematuria (p<0.01), kidney cancer (p<0.01), kidney stones (p=0.03), and prostate cancer (p<0.01). Correlations to COVID-19 searches were seen for bladder cancer (R

Indexed as

covid-19google trendsinfodemiologyonline contentpatient education as topicsocial mediaurology

Identifiers

PMID35165599
PMCPMC8831351
OpenAlexW4205459296

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.