Evidence map›Paper›PMID 32795991›Full record

ArticleJournal of medical Internet research2020

Googling Musculoskeletal-Related Pain and Ranking of Medical Associations' Patient Information Pages: Google Ads Keyword Planner Analysis.

Yoichiro Yamaguchi, Deokcheol Lee, Takuya Nagai, Taro Funamoto, Takuya Tajima, Etsuo Chosa

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. 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
–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

5 citing papers in PubMed.

  1. Plastic Surgery Search Engine Optimization in the Artificial Intelligence Era.Plastic and reconstructive surgery. Global open · 2026
    Article
  2. Article
  3. Article
  4. Seasonality of Back Pain in Italy: An Infodemiology Study.International journal of environmental research and public health · 2021
    Article
  5. Article
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.

Yoichiro YamaguchiDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.ORCID 0000-0003-0221-0258
Deokcheol LeeDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.ORCID 0000-0002-3091-0414
Takuya NagaiDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.ORCID 0000-0001-5010-229X
Taro FunamotoDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.ORCID 0000-0002-7876-1999
Takuya TajimaDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.ORCID 0000-0003-1554-7271
Etsuo ChosaDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.ORCID 0000-0002-1205-8694

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost people currently use the internet to obtain information about many subjects, including health information. Thus, medical associations need to provide accurate medical information websites. Although medical associations have their own patient education pages, it is not clear if these websites actually show up in search results.

objectiveThe aim of this study was to evaluate how well medical associations function as online information providers by searching for information about musculoskeletal-related pain online and determining the ranking of the websites of medical associations.

methodsWe conducted a Google search for frequently searched keywords. Keywords were extracted using Google Ads Keyword Planner associated with "pain" relevant to the musculoskeletal system from June 2016 to December 2019. The top 20 search queries were extracted and searched using the Google search engine in Japan and the United States.

resultsThe number of suggested queries for "pain" provided by Google Ads Keyword Planner was 930 in the United States and 2400 in Japan. Among the top 20 musculoskeletal-related pain queries chosen, the probability that the medical associations' websites would appear in the top 10 results was 30% in the United States and 45% in Japan. In five queries each, the associations' websites did not appear among the top 100 results. No significant difference was found in the rank of the associations' website search results (P=.28).

conclusionsTo provide accurate medical information to patients, it is essential to undertake effective measures for search engine optimization. For orthopedic associations, it is necessary that their websites should appear among the top search results.

Indexed as

AdvertisingAgedHumansInternetMusculoskeletal PainSearch EngineSocial Mediaad wordsGoogleinfodemiologymedical informationmusculoskeletal-related painpatient education

Identifiers

PMID32795991
PMCPMC7455867

What OpenQuestion holds

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LicenceCC BY
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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.