Evidence map›Paper›PMID 37632813›Full record

ArticleJMIR dermatology2021

Google Trends in Dermatology: Scoping Review of the Literature.

Torunn Elise Sivesind, Mindy D Szeto, William Kim, Robert Paul Dellavalle

Abstract readScoping Review
In one paragraph

Article in JMIR dermatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  4. COJMIR medical informatics · 2026
    Article
  5. An assessment of anti-VEGF drugs safety based on real-world data: from popularity to spontaneous reporting in eudravigilance database.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

4 authors.

Torunn Elise SivesindDepartment of Dermatology, University of Colorado School of Medicine, Aurora, CO, United States.ORCID 0000-0003-4805-0632
Mindy D SzetoDepartment of Dermatology, University of Colorado School of Medicine, Aurora, CO, United States.ORCID 0000-0003-3642-3753
William KimUniversity of Colorado School of Medicine, Aurora, CO, United States.ORCID 0000-0002-4803-5224
Robert Paul DellavalleDepartment of Dermatology, University of Colorado School of Medicine, Aurora, CO, United States.ORCID 0000-0001-8132-088X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGoogle Trends is a powerful online database and analytics tool of popular Google search queries over time and has the potential to inform medical practice and priorities.

objectiveThis review aimed to survey Google Trends literature in dermatology and elucidate its current roles and relationships with the field.

methodsA literature search was performed using PubMed to access and review relevant dermatology-related Google Trends studies published within the last 5 years.

resultsCurrent research utilizing Google Trends data provides insight related to skin cancer, pruritus, cosmetic procedures, and COVID-19. We also found that dermatology is presently the highest-searched medical specialty-among 15 medical and surgical specialties as well as general practitioners. Google searches related to dermatology demonstrate a seasonal nature for various skin conditions and sun-related topics, depending on a region's inherent climate and hemi-sphere. In addition, celebrity social media and other viral posts have been found to potentiate Google searches about dermatology and drive public interest.

conclusionsA limited number of relevant studies may have been omitted by the simplified search strategy of this study, as well as by restriction to English language articles and articles indexed in the PubMed database. This could be expanded upon in a secondary systematic review. Future re-search is warranted to better understand how Google Trends can be utilized to improve the quality of clinic visits, drive public health campaigns, and detect disease clusters in real time.

Indexed as

COVID-19DermatologySearch EngineHumansInternetSARS-CoV-2Skin DiseasesSocial MediadatabasesdermatologyGoogle Trendsinfodemiologyinfoveillanceinternetsearch termssearch trendsskin cancer

Identifiers

PMID37632813
PMCPMC10501516

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.