Published on in Vol 4, No 1 (2021): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21709, first published .
Psoriasis Google Trends

Psoriasis Google Trends

Psoriasis Google Trends

Research Letter

1Department of Dermatology, Valme University Hospital, Sevilla, Spain

2Department of Dermatology, Virgen del Rocio University Hospital, Sevilla, Spain

Corresponding Author:

Fernando Garcia-Souto, MD

Department of Dermatology

Valme University Hospital

Avda Bellavista s/n

Sevilla, 41014

Spain

Phone: 34 666608249

Email: fernandogarciasouto@gmail.com




In recent years, the internet has become an essential tool where people seek information about health care [1]. The use of the internet as a health resource is increasing rapidly for both patients and health care professionals, playing an important role in the decision-making process [2]. Google Trends is a free and easily accessible web search tool that allows estimating interest in topics at the population level by analyzing all search queries for a specific term in various regions and languages [3].

The aim of this study is to use data from Google Trends to analyze worldwide public interest in psoriasis and its different treatment modalities, and to analyze the possible seasonality of searches. A worldwide search was carried out through Google Trends from 2004 to 2019. A combination of terms related to psoriasis treatments was introduced. Joinpoint regression was performed. Google Trends assigns a relative search volume index to the search terms. Comparison annual relative search volume, annual percentage change, and average annual percentage change (AAPC) were analyzed to assess loss or gain of interest.

Our study reflected an increase interest in secukinumab (AAPC 33.7), ixekizumab (AAPC 23.3), and apremilast (AAPC 21.4). It showed less interest in methotrexate (AAPC –3.6), retinoids (AAPC –9.8), cyclosporine (AAPC –9.8), phototherapy (AAPC –6.3), etanercept (AAPC –14.9), infliximab (AAPC –14), and adalimumab (AAPC –5.8). Seasonality was found in the search term “psoriasis” (Table 1 and Multimedia Appendix 1).

Table 1. Trends in the interest of the world population in psoriasis and its treatment modalities.
Range (joint point) and periodChange yearAPCa (95% CI)AAPCb (95% CI)P value
Psoriasis (1)

2004-2019N/AcN/A0.4 (–0.4 to 1.3).30

2004-20082008–7.2 (–10.0 to –4.3)N/A<.05d

2008-2019N/A3.4 (2.8 to 4.0)N/A<.05
Psoriasis +e treatment (2)

2004-2019N/AN/A1.6 (–4.2 to 7.7).60

2004-20072007–3.9 (–18.8 to 13.8)N/A.60

2007-2010201018 (–12.2 to 58.6)N/A.20

2010-2019N/A–1.6 (–3.2 to 0.1)N/A.10
Psoriasis + clinical trial (1)

2004-2019N/AN/A–9.5 (–14.1 to –4.6)<.05

2004-20112011–18.8 (–24.4 to –12.9)N/A<.05

2011-2019N/A–0.4 (–9.1 to 9.1)N/A.90
Classic systemic therapies

Psoriasis + methotrexate (1)


2004-2019N/AN/A–3.6 (–5.3 to –1.8)<.05


2004-20072007–24.4 (–30.6 to –17.7)N/A<.05


2007-2019N/A2.5 (1.2 to 3.8)N/A<.05

Psoriasis + retinoids (0)


2004-2019N/AN/A–9.8 (–13.7 to –5.7)<.05

Psoriasis + cyclosporine (1)


2004-2019N/AN/A–9.8 (–12.1 to –7.4)<.05


2004-20072007–34.7 (–41.4 to –27.2)N/A<.05


2007-2019N/A–2.2 (–4.5 to 0.2)N/A.10

Psoriasis + apremilast (1)


2007-2019N/AN/A21.4 (10.1 to 33.8)<.05


2007-2014201437.1 (15.1 to 63.3)N/A<.05


2014-2019N/A2.3 (–9.6 to 15.9)N/A.70

Psoriasis + phototherapy (1)


2004-2019N/AN/A–6.3 (–9.6 to –2.9)<.05


2004-20082008–22.6 (–31.3 to –12.9)N/A<.05


2008-2019N/A0.4 (–3.0 to 3.9)N/A.80
Biological therapies

TNFf inhibitors


Psoriasis + etanercept (0)



2004-2019N/AN/A–14.9 (–18.2 to –11.4)<.05


Psoriasis + infliximab (1)



2004-2019N/AN/A–14 (–18.7 to –9.0)<.05



2004-20122012–21.6 (–25.4 to –17.5)N/A<.05



2012-2019N/A–4.4 (–15.5 to 8.2)N/A.40


Psoriasis + adalimumab (0)



2004-2019N/AN/A–5.8 (–8.3 to –3.3)<.05


Psoriasis + certolizumab (1)



2007-2019N/AN/A6.5 (–5.3 to 19.8).30



2007-20132013–10 (–27.4 to 11.6)N/A.30



2013-2019N/A26 (6.0 to 49.8)N/A<.05

ILg-17 inhibitors


Psoriasis + secukinumab (1)



2011-2019N/AN/A33.7 (15.0 to 55.4)<.05



2011-20142014112 (22.0 to 268.4)N/A<.05



2014-2019N/A1.4 (–6.2 to 9.6)N/A.60


Psoriasis + ixekizumab (1)



2012-2019N/AN/A23.3 (5.8 to 43.8)<.05



2012-2016201660.7 (12.8 to 129.1)N/A<.05



2016-2019N/A–13.3 (–38.2 to 21.5)N/A.30


Psoriasis + brodalumab (1)



2012-2019N/AN/A17.2 (–9.0 to 50.8).20



2012-2014201483.6 (–53.1 to 619.7)N/A.30



2014-2019N/A–2.1 (–17.8 to 16.5)N/A.70

IL-23 inhibitors


Psoriasis + ustekinumab (2)



2007-2019N/AN/A6.1 (–1.3 to 14).10



2007-20092009102.3 (25.4 to 226.3)N/A<.05



2009-20122012–27.9 (–40.5 to –12.7)N/A<.05



2012-2019N/A4.1 (1.0 to 7.3)N/A<.05


Psoriasis + guselkumab (0)



2013-2019N/AN/A17.7 (–4.7 to 45.4).10


Psoriasis + risankizumab (0)



2016-2019N/AN/A33.6 (–43.3 to 214.7).30


Psoriasis + tildrakizumabN/AN/AN/AN/A

aAPC: annual percentage change.

bAAPC: annual average percentage change.

cN/A: not applicable.

dExact P values not available when P<.05.

eThe “+” sign was not used in the searches. They have only been included in the table to make it easier for the reader.

fTNF: tumor necrosis factor.

gIL: interleukin.

The results of our study revealed that the overall number of searches for psoriasis decreased between 2004 and 2008 but has steadily increased since then. The general interest in psoriasis treatments decreased between 2004 and 2007, increased considerably until 2010, and since then has decreased slightly. In this study, apremilast and especially secukinumab and ixekizumab have been the treatments that have aroused the most interest. Contrastingly, it reflects a significantly lower interest in methotrexate, retinoids, cyclosporine, phototherapy, etanercept, infliximab, and adalimumab.

A seasonality analysis was performed with the term “psoriasis” to assess whether there is a seasonal variation in interest. During the years 2004 to 2019, there was a regular increase in interest in the period from January to April, which corresponds to the winter and spring months in the northern hemisphere. Likewise, lower interest was frequently recorded in the months of June to September, which correspond to the summer months in the northern hemisphere. Seasonality was not observed in the rest of the variables included in the study. Although the pathogenesis of psoriasis remains unknown, it is well known that certain environmental factors may influence its pathogenesis [4].

In conclusion, our results show current search trends for psoriasis and the various approved systemic treatments based on Google Trend analysis. We consider that the results of our study are useful to identify the search trends of the population on the web. It is essential that public health systems take these data into consideration since searches through the internet give us relevant information about the interest and concerns of the population about their diseases.

Conflicts of Interest

None declared.

Multimedia Appendix 1

Joint point models for the different terms included in the study. RSV: relative search volume index.

PDF File (Adobe PDF File), 673 KB

  1. Brownstein JS, Freifeld CC, Madoff LC. Digital disease detection--harnessing the web for public health surveillance. N Engl J Med 2009 May 21;360(21):2153-5, 2157 [FREE Full text] [CrossRef] [Medline]
  2. Hesse BW, Nelson DE, Kreps GL, Croyle RT, Arora NK, Rimer BK, et al. Trust and sources of health information: the impact of the internet and its implications for health care providers: findings from the first Health Information National Trends Survey. Arch Intern Med 2005;165(22):2618-2624. [CrossRef] [Medline]
  3. Google Trends.   URL: https://trends.google.es/trends/?geo=ES [accessed 2020-05-17]
  4. Zeng J, Luo S, Huang Y, Lu Q. Critical role of environmental factors in the pathogenesis of psoriasis. J Dermatol 2017 Aug;44(8):863-872. [CrossRef] [Medline]


AAPC: average annual percentage change


Edited by R Dellavalle, T Sivesind; submitted 22.06.20; peer-reviewed by S Kardes, C Liebram; comments to author 21.08.20; revised version received 25.08.20; accepted 14.05.21; published 08.06.21

Copyright

©Fernando Garcia-Souto, Jose Juan Pereyra-Rodriguez. Originally published in JMIR Dermatology (http://derma.jmir.org), 08.06.2021.

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