Evidence map›Paper›PMID 30955063›Full record

ArticleRheumatology international2019

Leveraging Google Trends to investigate the global public interest in rheumatoid arthritis.

Guo-Cui Wu, Sha-Sha Tao, Chan-Na Zhao, Yan-Mei Mao, Qian Wu, Yi-Lin Dan, Hai-Feng Pan

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Rheumatology international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. 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
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Guo-Cui WuSchool of Nursing, Anhui Medical University, 15 Feicui Road, Hefei, Anhui, China.ORCID http://orcid.org/0000-0003-0508-0612
Sha-Sha TaoDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.ORCID http://orcid.org/0000-0002-3054-4370
Chan-Na ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.ORCID http://orcid.org/0000-0002-3018-0861
Yan-Mei MaoDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.ORCID http://orcid.org/0000-0002-4088-6446
Qian WuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.ORCID http://orcid.org/0000-0002-7626-9060
Yi-Lin DanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.ORCID http://orcid.org/0000-0001-7597-5134
Hai-Feng PanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China. panhaifeng@ahmu.edu.cn.ORCID http://orcid.org/0000-0001-8218-5747
Anhui Medical University · CNAnhui University · CN

Funding

National Natural Science Foundation of China 81872687the Doctoral research grant from Anhui Medical University XJ201712the scientific research grant from Anhui Medical University 2017xkj010
6 · The paper itself

Abstract

This study aims to investigate the global public interest in rheumatoid arthritis by evaluating search term popularity changes of the disease over a decade. Google Trends was applied to retrieve search popularity scores for the term 'rheumatoid arthritis' between January 2004 and December 2017, utilizing the category of "health". Overall, relative searches volume for rheumatoid arthritis steadily decreased from January 2004 to December 2010, and then slowly rose from January 2011 to December 2017. There were significant seasonal variations in relative searches volume for the term 'rheumatoid arthritis' (Amplitude = 3.11; Phase: Month = 4.3; Low point: Month = 10.3; p < 0.025). Relative searches volume peaked in April and reached the lowest level in October. The top 11 rising topics were scleroderma, Anna Marchesini, C-reaction protein, osteoarthritis, arthritis, joint pain, autoimmune disease, rheumatoid factor, rheumatology, methotrexate, and systemic lupus erythematosus, ranking from high to low by relative growth of topic regarding rheumatoid arthritis. In conclusion, the evidence from Google Trends analysis demonstrates a significant seasonal variation in rheumatoid arthritis, with a peak in April. In addition, the top rising search queries are beneficial for physicians to search the Internet themselves for websites that provide high-quality information to recommend to their patients.

Indexed as

Access to InformationArthritis, RheumatoidHumansInternetPublic HealthPublic OpinionRheumatologySearch EngineSeasonsTime FactorsGlobal public interestGoogle TrendsRheumatoid arthritisSeasonality

Identifiers

PMID30955063
OpenAlexW2925358765

What OpenQuestion holds

Textmetadata
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.