Literature DB >> 34001467

Visualising the past to plan the future: a network analysis of the largest European dermatology conference.

Robert Kaczmarczyk1, Felix King1, Linda Tizek1, Tilo Biedermann1, Alexander Zink1.   

Abstract

BACKGROUND: The annual conference of the European Academy of Dermatology and Venereology is one the largest dermatology conferences worldwide.
OBJECTIVES: Network analysis can be used for in-depth insight into trending topics and underlying trends at the congress. MATERIALS &
METHODS: Network analysis was employed to assess the entirety of the submitted abstracts to the congress in 2019. The data were processed, analysed, and visualised using easy-to-understand network graphs. Topics were then compared to their respective global burden (Disease Adjusted Life Years [DALYs]) and the number of respective publications on PubMed in the year 2018.
RESULTS: Overall, 1,280 lecture titles and 1,941 poster titles were included in the final analysis. The most frequently used terms were "patients" (n = 473), "treatment" (n = 301), and "psoriasis" (n = 335). Relative to DALYs, "psoriasis" (+21.9%) among others, was rather over-represented, while "fungal skin diseases" (-7.6%) and "urticaria" (-6.4%) were under-represented. Compared to the relative number of PubMed publications in 2018, "psoriasis" (+20.3%), "acne" (+7.9%), and "alopecia" (+3.1%) were over-represented, while "melanoma" (-22.5%), "dermatitis" (-4.2%) and "pruritus" (-3.4%) were rather under-represented.
CONCLUSION: The network analysis showed that the congress was a patient and therapy-centred event. An explanation for the particular focus on chronic inflammatory skin diseases and melanoma would be the introduction of new therapies at the congress. To delineate trends over time, a longitudinal network analysis including several congresses should be conducted and could be used to determine additional topics to be included in future events.

Entities:  

Keywords:  DALY; conference; dermatology; digital medicine; melanoma; network analysis; psoriasis; scientography

Year:  2021        PMID: 34001467     DOI: 10.1684/ejd.2021.4010

Source DB:  PubMed          Journal:  Eur J Dermatol        ISSN: 1167-1122            Impact factor:   3.328


  1 in total

1.  [Network analyses as a valuable extension of conventional statistics].

Authors:  Robert Kaczmarczyk; Sebastian Sitaru; Hannah Wecker; Alexander Zink
Journal:  Dermatologie (Heidelb)       Date:  2022-04-28
  1 in total

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