A prospective evaluation of plasma phospholipid fatty acids and breast cancer risk in the EPIC study

Background Intakes of specific fatty acids have been postulated to impact breast cancer risk but epidemiological data based on dietary questionnaires remain conflicting. Materials and methods We assessed the association between plasma phospholipid fatty acids and breast cancer risk in a case–control study nested within the European Prospective Investigation into Cancer and Nutrition study. Sixty…

A prospective diet-wide association study for risk of colorectal cancer in EPIC

BACKGROUND & AIMS Evidence regarding the association of dietary exposures with colorectal cancer (CRC) risk is not consistent with a few exceptions. Therefore, we conducted a diet-wide association study (DWAS) in the European Prospective Investigation into Cancer and Nutrition (EPIC) to evaluate the associations between several dietary exposures with CRC risk. METHODS The association of…

A Procedure for Deriving Formulas to Convert Transition Rates to Probabilities for Multi-State Markov Models

For health-economic analyses that use multi-state Markov models, it is often necessary to convert from transition rates to transition probabilities, and for probabilistic sensitivity analysis and other purposes it is useful to have explicit algebraic formulas for these conversions, to avoid having to resort to numerical methods. However, if there are four or more states…

A nutrient-wide association study for risk of prostate cancer in the European Prospective Investigation into Cancer and Nutrition and the Netherlands Cohort Study

Purpose The evidence from the literature regarding the association of dietary factors and risk of prostate cancer is inconclusive. Methods A nutrient-wide association study was conducted to systematically and comprehensively evaluate the associations between 92 foods or nutrients and risk of prostate cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC). Cox proportional…

A New Pipeline for the Normalization and Pooling of Metabolomics Data

Pooling metabolomics data across studies is often desirable to increase the statistical power of the analysis. However, this can raise methodological challenges as several preanalytical and analytical factors could introduce differences in measured concentrations and variability between datasets. Specifically, different studies may use variable sample types (e.g., serum versus plasma) collected, treated, and stored according…

A Nested Case–Control Study of Metabolically Defined Body Size Phenotypes and Risk of Colorectal Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)

Background Obesity is positively associated with colorectal cancer. Recently, body size subtypes categorised by the prevalence of hyperinsulinaemia have been defined, and metabolically healthy overweight/obese individuals (without hyperinsulinaemia) have been suggested to be at lower risk of cardiovascular disease than their metabolically unhealthy (hyperinsulinaemic) overweight/obese counterparts. Whether similarly variable relationships exist for metabolically defined body…

A Narrative Review: Analysis of Supplemental Parenteral Nutrition in Adults at the End of Life

“End of life” is a stage defined by the existence of an irreversible prognosis that ends with a person’s death. One of the aspects of interest regarding end of life focuses on parenteral nutrition, which is usually administered in order to avoid malnutrition and associated complications. However, parenteral nutrition can be adapted to specific circumstances…

A multilayered post-GWAS assessment on genetic susceptibility to pancreatic cancer

Background Pancreatic cancer (PC) is a complex disease in which both non-genetic and genetic factors interplay. To date, 40 GWAS hits have been associated with PC risk in individuals of European descent, explaining 4.1% of the phenotypic variance. Methods We complemented a new conventional PC GWAS (1D) with genome spatial autocorrelation analysis (2D) permitting to…

A multi-stakeholder multicriteria decision analysis for the reimbursement of orphan drugs (FinMHU-MCDA study)

Background Patient access to orphan medicinal products (OMPs) is limited and varies between countries, reimbursement decisions on OMPs are complex, and there is a need for more transparent processes to know which criteria should be considered to inform these decisions. This study aimed to determine the most relevant criteria for the reimbursement of OMPs in…

A multi-criteria decision analysis on the value of nintedanib for interstitial lung diseases

Objectives Our aim was to assess the value of nintedanib for non-idiopathic progressive fibrosing interstitial lung disease (non-IPF PF-ILD) and systemic sclerosis-associated ILD (SSc-ILD) in the Spanish context, using a multi-criteria decision analysis (MCDA). Methods Following an adaptation of the Evidence and Value: Impact on DEcision Making (EVIDEM) MCDA methodology, the estimated value of nintedanib…