Evidence map›Paper›PMID 34675234›Full record

ArticleScientific reports2021

Leveraging internet search data to assess prevalence, interest, and unmet needs of sarcoidosis in Germany.

Charlotte Hilker, Linda Tizek, Melvin Rüth, Maximilian Schielein, Tilo Biedermann, Alexander Zink

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Charlotte HilkerDepartment of Dermatology and Allergy, Technical University of Munich, School of Medicine, Biedersteiner str. 29, 80802, Munich, Germany.
Linda TizekDepartment of Dermatology and Allergy, Technical University of Munich, School of Medicine, Biedersteiner str. 29, 80802, Munich, Germany.
Melvin RüthDepartment of Dermatology and Allergy, Technical University of Munich, School of Medicine, Biedersteiner str. 29, 80802, Munich, Germany.
Maximilian SchieleinInstitute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany.
Tilo BiedermannDepartment of Dermatology and Allergy, Technical University of Munich, School of Medicine, Biedersteiner str. 29, 80802, Munich, Germany.
Alexander ZinkDepartment of Dermatology and Allergy, Technical University of Munich, School of Medicine, Biedersteiner str. 29, 80802, Munich, Germany. alexander.zink@ki.se.
Technical University of Munich · DEKarolinska University Hospital · SEZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcoidosis is a multisystemic disease of connective tissue with granuloma formation of unknown etiology and unclear prevalence. Internet search data has been shown to correlate with disease incidences and the population's interest as well as seasonal variations. Accordingly, aim of this study was to leverage internet search data on sarcoidosis-related keywords to identify unmet needs, geographical and seasonal factors influencing sarcoidosis and estimating its prevalence. In this retrospective longitudinal study, Google Ads Keyword Planner was used to determine the internet search volume of terms related to sarcoidosis across Germany as a whole and in 17 major German cities between July 2015 and June 2019. Identified keywords were qualitatively categorized, converted into number of searches per 100,000 inhabitants and analyzed including regional and seasonal differences. With 3,068,200 queries and 425 different sarcoidosis-related search terms in the studied time period, the search volume was very high for a rare disease. Most searches (67.9%) related to general disease information with "sarcoidosis", "Löfgren's syndrome", "sarcoidosis lung", "Morbus Boeck" and "neurosarcoidosis" as the top five keywords. Searches per 100,000 inhabitants were comparable in all 17 cities but higher than in Germany as a whole. Overall, the search volume increased from 2015 to 2019 and peaked annually in European springtime with annual lows in European autumn and winter months. The overall high search volume suggests an unmet need for sarcoidosis-related information and a diagnostic gap. Seasonal fluctuations indicate environmental as well as climatic factors that may influence sarcoidosis.

Indexed as

GermanyHumansLongitudinal StudiesPrevalenceRetrospective StudiesSarcoidosisSearch EngineSeasons

Identifiers

PMID34675234
PMCPMC8531327
OpenAlexW3207949722

What OpenQuestion holds

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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.