A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation data
Background: Measurement error in self-reported dietary intakes is known to bias the association between dietary intake and a health outcome of interest such as risk of a disease. The association can be distorted further by mismeasured confounders, leading to invalid results and conclusions. It is, however, difficult to adjust for the bias in the association when there is…
Data quality in rare cancers registration: the report of the RARECARE data quality study
Purpose Rare cancers represent 22% of all tumors in Europe; however, the quality of the data of rare cancers may not be as good as the quality of data for common cancer. The project surveillance of rare cancers in Europe (RARECARE) had, among others, the objective of assessing rare cancer data quality in population-based cancer…
Evaluación de una estrategia formativa entre iguales en fibromialgia. Un análisis de género
La fibromialgia es una enfermedad crónica altamente feminizada que requiere mayor autonomía y autoeficiencia en el manejo de los cuidados. Objetivo: evaluar, desde una perspectiva de género, la estrategia formativa de pacientes con fibromialgia de la Escuela de Pacientes, basada en la formación “entre iguales”. Método: estudio cuantitativo, con diseño cuasiexperimental pretest- postest, con 600 participantes con fibromialgia. Se…
Jornada Anemia y déficit de Hierro
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Cross-cancer genome-wide analysis of lung, ovary, breast, prostate and colorectal cancer reveals novel pleiotropic associations
Identifying genetic variants with pleiotropic associations can uncover common pathways influencing multiple cancers. We took a two-staged approach to conduct genome-wide association studies for lung, ovary, breast, prostate and colorectal cancer from the GAME-ON/GECCO Network (61,851 cases, 61,820 controls) to identify pleiotropic loci. Findings were replicated in independent association studies (55,789 cases, 330,490 controls). We…