Evidence map›Paper›PMID 32361922›Full record

ArticleDigestive diseases and sciences2021

Utilizing Google Trends to Assess Worldwide Interest in Irritable Bowel Syndrome and Commonly Associated Treatments.

Ryan Flanagan, Braden Kuo, Kyle Staller

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Article in Digestive diseases and sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  8. Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ryan FlanaganHarvard Medical School, Boston, MA, USA.
Braden KuoHarvard Medical School, Boston, MA, USA.
Kyle StallerHarvard Medical School, Boston, MA, USA. KSTALLER@mgh.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExamining the prevalence of irritable bowel syndrome (IBS) across regions has been challenging given significant methodological heterogeneity.

aimsWe aimed to perform a uniform assessment of the global burden of IBS using data from Google Trends, a novel, online tool.

methodsGoogle Trends measures popularity of a search term in a given week compared to popularity of all search terms in that week, calculated as relative search volume (RSV). We compiled data on the popularity of IBS and its treatments across 173 countries between 2014 and 2018. We compared Google Trends popularity for IBS with prior epidemiological prevalence data, while controlling for gross domestic product (GDP) per capita and physician density.

resultsOf the 173 countries with Google Trends data, 137 countries also had data for GDP per capita and physician density. Worldwide popularity of IBS as a search topic increased from 79 to 89 (13% increase by RSV) over the 5-year period between 2014 and 2018. Country-specific change in IBS RSV ranged from - 35% (Nigeria) to + 64% (Pakistan). There was poor correlation between the Google Trends data and prior epidemiological data (0.08, Pearson correlation, p = 0.64). Popularity of the low-FODMAP diet increased the most among 8 common therapies (RSV 41 to 89, 117% increase).

conclusionsGoogle Trends is a novel tool that can complement traditional epidemiological methods in gastrointestinal disease. Future research is needed to assess its utility and accuracy as a measure of disease burden across different gastrointestinal diseases.

Indexed as

Epidemiological MonitoringGlobal Burden of DiseaseGlobal HealthGross Domestic ProductHumansIrritable Bowel SyndromePhysiciansPrevalenceSearch EngineEpidemiologyLaxativesLow-FODMAP dietPrevalenceProbiotics

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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.