Evidence map›Paper›PMID 36640175›Full record

ArticleRheumatology international2023

Analyzing web searches for axial spondyloarthritis in Germany: a novel approach to exploring interests and unmet needs.

Kristina Berr, Linda Tizek, Maximilian C Schielein, Martin Welcker, Johannes Knitza, Stefan Kleinert, Alexander Zink

Abstract read
In one paragraph

Article in Rheumatology international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Kristina BerrDepartment of Dermatology and Allergy, School of Medicine, Technical University of Munich, Biedersteiner Street 29, 80802, Munich, Germany.ORCID 0000-0002-3324-9617
Linda TizekDepartment of Dermatology and Allergy, School of Medicine, Technical University of Munich, Biedersteiner Street 29, 80802, Munich, Germany.ORCID 0000-0002-2749-9791
Maximilian C SchieleinDepartment of Dermatology and Allergy, School of Medicine, Technical University of Munich, Biedersteiner Street 29, 80802, Munich, Germany.ORCID 0000-0003-3767-1337
Martin WelckerMedizinisches Versorgungszentrum für Rheumatologie Dr. M. Welcker GmbH, Planegg, Germany.ORCID 0000-0002-1856-3085
Johannes KnitzaDepartment of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.ORCID 0000-0001-9695-0657
Stefan KleinertPraxisgemeinschaft Rheumatologie-Nephrologie Erlangen, Rheumatologische Schwerpunktpraxis, Erlangen, Germany.ORCID 0000-0002-2588-7547
Alexander ZinkDepartment of Dermatology and Allergy, School of Medicine, Technical University of Munich, Biedersteiner Street 29, 80802, Munich, Germany. alexander.zink@tum.de.ORCID 0000-0001-9313-6588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Axial spondyloarthritis (axSpA) is an underdiagnosed condition with a high disease burden. Due to delayed diagnosis and limited access to specialist care, conventional health data might not sufficiently capture the perspective of affected individuals. The aim of this study was to assess public interest, unmet needs, and disease burden of axSpA in Germany through the analysis of thematic, geographic, and temporal patterns in national web search data. Google Ads Keyword Planner was used to identify axSpA-related keywords and their monthly search volume in Germany between January 2017 and December 2020. Identified keywords were qualitatively categorized into six categories. Overall, 265 axSpA-related keywords with a search volume of 3,881,490 queries were identified. Nearly 81% of the total search volume was assigned to the category terms and definition, while 19% referred to either outcomes, symptoms, diagnosis, management, or causes. In the category outcomes, prognostic outcomes like "life expectancy" generated more searches than physical manifestations like "pain". Less populated cities showed significantly more searches per 100,000 inhabitants than larger cities. Searches were seasonally stable with a Germany-wide peak in July 2017. This study provides an overview of public interest in axSpA based on web search data in Germany. The identified search patterns could be used to guide public health campaigns and optimize axSpA management in Germany.

Indexed as

Axial SpondyloarthritisSpondylarthritisCost of IllnessGermanyHumansPainSearch EngineAxial spondyloarthritisBurden of diseaseInfodemiologyUnmet needsWeb search data

Identifiers

PMID36640175
PMCPMC10125933

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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.