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.
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.
Authors: Paula R Williamson; Douglas G Altman; Heather Bagley; Karen L Barnes; Jane M Blazeby; Sara T Brookes; Mike Clarke; Elizabeth Gargon; Sarah Gorst; Nicola Harman; Jamie J Kirkham; Angus McNair; Cecilia A C Prinsen; Jochen Schmitt; Caroline B Terwee; Bridget Young Journal: Trials Date: 2017-06-20 Impact factor: 2.279
Authors: K Reich; U Mrowietz; M A Radtke; D Thaci; S J Rustenbach; C Spehr; M Augustin Journal: Arch Dermatol Res Date: 2015-09-10 Impact factor: 3.017
Authors: Louise A A Gerbens; Aaron E Boyce; Dmitri Wall; Sebastien Barbarot; Richard J de Booij; Mette Deleuran; Maritza A Middelkamp-Hup; Amanda Roberts; Christian Vestergaard; Stephan Weidinger; Christian J Apfelbacher; Alan D Irvine; Jochen Schmitt; Paula R Williamson; Phyllis I Spuls; Carsten Flohr Journal: Trials Date: 2017-02-27 Impact factor: 2.279
Authors: Z Z N Yiu; C Sorbe; M Lunt; S J Rustenbach; L Kühl; M Augustin; K J Mason; D M Ashcroft; C E M Griffiths; R B Warren Journal: Br J Dermatol Date: 2019-01-15 Impact factor: 9.302
Authors: Dmitri Wall; Raed Alhusayen; Bernd Arents; Christian Apfelbacher; Esther A Balogh; Laita Bokhari; Manja Bloem; Angela L Bosma; Tim Burton; Leslie Castelo-Soccio; Nicole Fagan; Steven R Feldman; Godfrey Fletcher; Carsten Flohr; Esther Freeman; Lars E French; Christopher E M Griffiths; George J Hruza; John R Ingram; Michael D Kappelman; Irene Lara-Corrales; Henry W Lim; Nekma Meah; Devon E McMahon; Satveer K Mahil; Ian McNicoll; Annelie Musters; Haley B Naik; Rodney Sinclair; Catherine H Smith; Phyllis Spuls; Desmond J Tobin; Katherine York; Alan D Irvine Journal: Clin Dermatol Date: 2021-04-06 Impact factor: 3.541
Authors: M Augustin; L Eissing; A Langenbruch; A Enk; T Luger; D Maaßen; U Mrowietz; K Reich; M Reusch; K Strömer; D Thaçi; R von Kiedrowski; M A Radtke Journal: Arch Dermatol Res Date: 2016-04-05 Impact factor: 3.017