Background: Many melanoma observational studies have been carried out across different countries and geographic areas using heterogeneous assessments of epidemiologic risk factors and clinical variables. Aim: To develop a consensus questionnaire to standardize epidemiologic and clinical data collection for melanoma risk assessment. Methods: We used a stepwise strategy that included: compilation of variables from case–control datasets collected at various centres of the MelaNostrum Consortium; integration of variables from published case–control studies; consensus discussion of the collected items by MelaNostrum members; revision by independent experts; addition of online tools and image-based charts; questionnaire testing across centres and generation of a final draft. Results: We developed a core consensus questionnaire (MelanoQ) that includes four separate sections: A. general and demographic data; B. phenotypic and ultraviolet radiation exposure risk factors and lifestyle habits; C. clinical examination, medical and family history; and D. diagnostic data on melanoma (cases only). Accompanying online tools, informative tables, and image-based charts aid standardization. Different subsections of the questionnaire are designed for self-administration, patient interviews performed by a physician or study nurse, and data collection from medical records. Conclusions: The MelanoQ questionnaire is a useful tool for the collection and standardization of epidemiologic and clinical data across different studies, centres, cultures and languages. This will expedite ongoing efforts to compile high-quality data for pooled analyses or meta-analyses and offer a solid base for the design of clinical, epidemiologic and translational studies on melanoma.

MelaNostrum: A Consensus Questionnaire of Standardized Epidemiologic and Clinical Variables for Melanoma Risk Assessment by the MelaNostrum Consortium

Ghiorzo, Paola;
2018

Abstract

Background: Many melanoma observational studies have been carried out across different countries and geographic areas using heterogeneous assessments of epidemiologic risk factors and clinical variables. Aim: To develop a consensus questionnaire to standardize epidemiologic and clinical data collection for melanoma risk assessment. Methods: We used a stepwise strategy that included: compilation of variables from case–control datasets collected at various centres of the MelaNostrum Consortium; integration of variables from published case–control studies; consensus discussion of the collected items by MelaNostrum members; revision by independent experts; addition of online tools and image-based charts; questionnaire testing across centres and generation of a final draft. Results: We developed a core consensus questionnaire (MelanoQ) that includes four separate sections: A. general and demographic data; B. phenotypic and ultraviolet radiation exposure risk factors and lifestyle habits; C. clinical examination, medical and family history; and D. diagnostic data on melanoma (cases only). Accompanying online tools, informative tables, and image-based charts aid standardization. Different subsections of the questionnaire are designed for self-administration, patient interviews performed by a physician or study nurse, and data collection from medical records. Conclusions: The MelanoQ questionnaire is a useful tool for the collection and standardization of epidemiologic and clinical data across different studies, centres, cultures and languages. This will expedite ongoing efforts to compile high-quality data for pooled analyses or meta-analyses and offer a solid base for the design of clinical, epidemiologic and translational studies on melanoma.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11567/935459
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