4.4 Article

Challenges for Synthesising Data in a Network of Registries for Systemic Psoriasis Therapies

期刊

DERMATOLOGY
卷 224, 期 3, 页码 236-243

出版社

KARGER
DOI: 10.1159/000338572

关键词

Biologics; Methodology; Psoriasis; Registry; Research network; Systemic therapy

资金

  1. EADV
  2. AIFA (Italian Drug Agency)
  3. British Association of Dermatologists
  4. Abbott
  5. Pfizer
  6. Janssen-Cilag
  7. Merck-Serono
  8. MSD
  9. Academia Espanola de Dermatologia y Venereologia
  10. Agencia Espanola de Medicamentos y Productos Sanitarios
  11. Schering
  12. Wyeth
  13. Epiderm
  14. Swedish Board of Health and Welfare
  15. Swedish Association of Local Authorities and Regions
  16. Vasterbotten County Council
  17. LEO Pharma
  18. Biogen Idec
  19. Medac
  20. Amgen
  21. Centocor

向作者/读者索取更多资源

Background: Large disease registries are the preferred method to assess long-term treatment safety. If psoriasis registries collaborate in a network, their power to assess safety is increased. Objective: To identify heterogeneity in psoriasis registries and methodological challenges for synthesising the data they provide. Methods: We surveyed the registries in PSONET and identified and addressed the challenges to collaborative analysis for the network in several round table meetings. Results: Eight out of 10 registries had a prospective comparator cohort with similar disease characteristics but not on biologics. Registries differed in the coding and validation or follow-up of adverse events and in the way they sampled their population. Fifteen challenges to registries collaborating were identified in the areas of operational governance, structural conduct, bias and analysis. Conclusions: Participation in PSONET, a network of psoriasis registries, helps identify and solve common issues, enhancing the individual registries, and provides larger sets of more powerful safety data in a diverse population. Challenges to interpreting data collectively include heterogeneity in sampling, variable penetration of biologics and compatibility of different datasets. Copyright (c) 2012 S. Karger AG, Basel

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