Evidence map›Paper›PMID 40475109›Full record

ArticleSkin appendage disorders2025

Alopecia: A Google Trends Analysis of the Past 5 Years (2018-2023).

Lidiya Todorova, Nicolas Kluger

Abstract read
In one paragraph

Article in Skin appendage disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Lidiya TodorovaMedical University of Plovdiv, Dermatology and Venereology, Plovdiv, Bulgaria.
Nicolas KlugerDermatology, Allergology and Venerology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The study aimed to evaluate recent trends in public interest regarding various alopecia-associated diagnoses using Google Trends. Method: Data generated through Google Trends for the relative search volumes (RSVs) of the following diagnostic-related terms: "Alopecia," "Alopecia areata," "Androgenetic alopecia," "Central centrifugal cicatricial alopecia," "Folliculitis decalvans," "Frontal fibrosing alopecia," "Telogen effluvium," "Traction alopecia" (disease)." Analysis has been performed worldwide from July 29th, 2018, to July 16th, 2023. Results: Between 2018 and 2023, mean RSVs by 12-month period have remained stable for "alopecia" and "alopecia areata." "Telogen effluvium" has increased peak search during 2020-2022. "Androgenetic alopecia" and "frontal fibrosing alopecia" display an increase for the past 5 years. There were differences in geographic distribution. For alopecia areata, all the countries were from the Middle East; for telogen effluvium, eight of the top 10 countries were Latin American or Spanish speaking, and Western countries had mainly searched for frontal fibrosing alopecia. Conclusions: Google Trends is not a real epidemiological tool. It can be only used by individuals who have access to the Internet, but it does not presume the person or the reason for the search. We observed different geographical distribution according to the disease. Infodemiology provides a better understanding of alopecia needs in different countries and continents.

Indexed as

AlopeciaEpidemiologyGoogle TrendsHair lossInternet

Identifiers

PMID40475109
PMCPMC12136567

What OpenQuestion holds

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Registered trials

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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.