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https://hdl.handle.net/20.500.14279/24086
Τίτλος: | Identifying people at higher risk of melanoma across the U.K.: a primary-care-based electronic survey | Συγγραφείς: | Usher-Smith, Juliet A. Kassianos, Angelos P. Emery, Jon David Abel, Gary Teoh, Z. Hall, Susan Neal, Richard Murchie, Peter Walter, Fiona |
Major Field of Science: | Medical and Health Sciences | Field Category: | Other Medical Sciences | Λέξεις-κλειδιά: | Melanoma;Williams self-assessed clinical risk estimation model | Ημερομηνία Έκδοσης: | Απρ-2017 | Πηγή: | The British Journal of Dermatology, 2017, vol. 176, no. 4, pp. 939–948 | Volume: | 176 | Issue: | 4 | Start page: | 939 | End page: | 948 | Περιοδικό: | The British Journal of Dermatology | Περίληψη: | Background: Melanoma incidence is rising rapidly worldwide among white populations. Defining higher-risk populations using risk prediction models may help targeted screening and early detection approaches. Objectives: To assess the feasibility of identifying people at higher risk of melanoma using the Williams self-assessed clinical risk estimation model in U.K. primary care. Methods: We recruited participants from the waiting rooms of 22 general practices covering a total population of > 240 000 in three U.K. regions: Eastern England, North East Scotland and North Wales. Participants completed an electronic questionnaire using tablet computers. The main outcome was the mean melanoma risk score using the Williams melanoma risk model. | URI: | https://hdl.handle.net/20.500.14279/24086 | ISSN: | 00070963 | DOI: | 10.1111/bjd.15181 | Rights: | © The Authors.British Journal of Dermatology | Type: | Article | Affiliation: | University of Cambridge University College London University of Melbourne Betsi Cadwaladr University Health Board University of Aberdeen Bangor University |
Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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