Evidence map›Paper›PMID 34667892›Full record

ArticleJournal of clinical and translational research2021

Google trends as a tool for evaluating public interest in total knee arthroplasty and total hip arthroplasty.

Samuel A Cohen, Landon E Cohen, Jonathan D Tijerina, Gabriel Bouz, Rachel Lefebvre, Milan Stevanovic, Nathanael D Heckmann

Open access · diamondAbstract read
PubMed Full text at PMC
In one paragraph

Article in Journal of clinical and translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

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  12. Orthopaedic Surgical Demand Index: A Measure of Need in the United States.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2022
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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

7 authors at 1 institution in 1 country.

Samuel A CohenStanford University School of Medicine 291 Campus Drive, Stanford, CA, 94305, USA.
Landon E CohenKeck School of Medicine, University of Southern California 1975 Zonal Avenue, Los Angeles, CA, 90033, USA.
Jonathan D TijerinaBascom Palmer Eye Institute 900 NW 17 St 2 floor, Miami, FL 33136, USA.
Gabriel BouzDepartment of Orthopaedic Surgery, Keck School of Medicine, University of Southern California, 1975 Zonal Avenue, Los Angeles, CA, 90033, USA.
Rachel LefebvreDepartment of Orthopaedic Surgery, Keck School of Medicine, University of Southern California, 1975 Zonal Avenue, Los Angeles, CA, 90033, USA.
Milan StevanovicDepartment of Orthopaedic Surgery, Keck School of Medicine, University of Southern California, 1975 Zonal Avenue, Los Angeles, CA, 90033, USA.
Nathanael D HeckmannDepartment of Orthopaedic Surgery, Keck School of Medicine, University of Southern California, 1975 Zonal Avenue, Los Angeles, CA, 90033, USA.
University of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThere are approximately 1 million total knee arthroplasty (TKA) and total hip arthroplasty (THA) procedures performed annually in the United States. With this number projected to increase, it is vital for orthopedic surgeons and health-care systems to properly anticipate healthcare utilization related to TKA and THA. Google Trends (GT) is a free, open source tool that provides customizable analysis of search terms entered into the Google search engine. We aim to explore the relationship between public interest in TKA and THA as determined by GT data and volume of TKA and THA procedures.

methodsGT data were compiled for ten search terms related to TKA and ten search terms related to THA from January 2009 to December 2017. Annual case volumes for TKA/THA procedures were obtained from the Healthcare Cost and Utilization Project National Inpatient Sample from 2009 to 2017. Trend analysis was performed using univariate linear regression of GT data and TKA/THA case volumes.

resultsThere was a statistically significant positive correlation between GT data and procedure volume for 14 of the 20 search terms studied. Seven TKA-related search terms with a positive correlation to procedure volumes include "total knee replacement," "knee replacement," "knee osteoarthritis," "knee ache," "knee swelling," "knee stiffness," and "chronic knee pain." Seven THA-related search terms with a positive correlation to procedure volumes include "hip arthroplasty," "total hip replacement," "hip replacement," "hip osteoarthritis," "hip ache," "hip swelling," and "chronic hip pain."

conclusionGT may provide a high utility as a convenient and informative data set for orthopedic surgeons to analyze public interest in TKA and THA procedures. The data provided by GT have the potential to provide real-time, actionable information that may help surgeons and health systems to characterize public interest in TKA and THA and to best identify and address patient needs. RELEVANCE FOR PATIENTS: The GT tool can be used to measure public interest in TKA/THA, which can inform physician expectations for the patient encounter and lead to the creation of decision aids that better inform the public about the risks and benefits of TKA/THA.

Indexed as

GoogleGoogle trendship arthroplastyknee arthroplastypublic interest

Identifiers

PMID34667892
PMCPMC8520707
OpenAlexW3206257537

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.