Evidence map›Paper›PMID 33842160›Full record

ArticleCureus2021

Using Google Trends Data to Track Healthcare Use for Hand Osteoarthritis.

Samuel A Cohen, Thompson Zhuang, Michelle Xiao, John B Michaud, Lauren Shapiro, Robin N Kamal

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 21 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

6 authors at 3 institutions in 1 country.

Samuel A CohenOrthopaedic Surgery, Stanford University School of Medicine, Stanford, USA.
Thompson ZhuangOrthopaedic Surgery, Stanford University School of Medicine, Stanford, USA.
Michelle XiaoOrthopaedic Surgery, Stanford University School of Medicine, Stanford, USA.
John B MichaudOrthopaedic Surgery, Stanford University School of Medicine, Stanford, USA.
Lauren ShapiroOrthopaedic Surgery, Duke University School of Medicine, Durham, USA.
Robin N KamalOrthopaedic Surgery, Stanford University School of Medicine, Stanford, USA.
Stanford University · USDuke University · USStanford Medicine · US

Funding

Developing and Testing a Tool for Preference Elicitation in Carpal Tunnel SyndromeK23AR073307 · NIAMS · STANFORD UNIVERSITY · PI KAMAL, ROBIN N · 2018 to 2022
$866k
NIAMS NIH HHS K23 AR073307
6 · The paper itself

Abstract

Background Google Trends (GT) is a free tool that provides analysis of search traffic for specified terms entered into the Google search engine. In this study, we evaluate the association between public interest in hand osteoarthritis (OA) as determined by GT search volumes and healthcare usage related to hand OA. Methodology We compiled GT data from 2010 to 2017 for the following group of hand OA-related search terms: "hand osteoarthritis," "hand arthritis," "hand swelling," "hand stiffness," and "chronic hand pain." Claims associated with hand OA codes were obtained from an administrative database (14.8 million patients) using International Classification of Diseases codes from 2010 to 2017. We performed trend analysis using univariate linear regression of GT data and hand OA claims. A month-by-month analysis of variation from yearly GT means was conducted for hand OA-related search terms. Results There was increased public interest in hand OA-related search terms from January 2010 to December 2017. Univariate linear regression of GT data for hand OA-related search terms compared with hand OA claims demonstrated a significant positive correlation (p < 0.001, r = 0.707). Peak public interest in hand OA-related search terms was observed in July, May, and June. Conclusions This study demonstrates the ability of GT to track healthcare use related to hand OA. Our data also add to the evidence for monthly variations in public interest related to hand OA. Clinics and surgery centers can employ GT data to anticipate resource utilization by hand OA patients.

Indexed as

google trendshand osteoarthritispublic interest

Identifiers

PMID33842160
PMCPMC8025802
OpenAlexW3135234066

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.