Evidence map›Paper›PMID 40990525›Full record

ArticleTurkish archives of otorhinolaryngology2025

Trends in Public Search Behavior for Otorhinolaryngology: A Two-Decade Analysis.

Seda Sezen Göktaş, Levent Ay, Furkan Balaban, Hande Arslan

Abstract read
In one paragraph

Article in Turkish archives of otorhinolaryngology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Seda Sezen GöktaşUniversity of Health Sciences Türkiye, Samsun Training and Research Hospital, Department of Otorhinolaryngology, Samsun, Türkiye.ORCID 0000-0001-9820-958X
Levent AySamsun University Faculty of Medicine, Department of Otorhinolaryngology, Samsun, Türkiye.ORCID 0009-0009-1418-8730
Furkan BalabanSamsun University Faculty of Medicine, Department of Otorhinolaryngology, Samsun, Türkiye.ORCID 0000-0002-3645-0092
Hande ArslanUniversity of Health Sciences Türkiye, Samsun Training and Research Hospital, Department of Otorhinolaryngology, Samsun, Türkiye.ORCID 0000-0003-0344-2712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Google Trends provides data on searches made on Google from a specific region in a specific period. The aim of this study is to determine the focus of interest in otorhinolaryngology in Türkiye between 2004-2024 using this method. Methods: Otorhinolaryngology was studied in five subbranches; namely, otology, rhinology, laryngology, head and neck surgery, and facial plastics. The 70 most searched terms in the last 20 years related to these subbranches were determined. The change in the search rates of the terms belonging to each subbranch and the change in the search percentages of the subbranches compared to the total number were determined and evaluated over the years. Results: In all terms examined, significant increases were observed in general since 2004. However, decrease was observed in all terms, except a few, in 2020-2021, i.e., during the pandemic. In the comparison between subbranches, in the last few years, the lowest search rate was seen in laryngology with 16.86%, and the highest search rate was seen in otology with 24.06%. Conclusion: Knowing the topics where interest is clustered can be used to guide future medical practices and scientific research.

Indexed as

facial plastic surgeryGoogle Trendshead and neck surgerylaryngologyotologyotorhinolaryngologyrhinology

Identifiers

PMID40990525
PMCPMC12481003

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.