Methodological challenges using routine clinical care data for real-world evidence: a rapid review utilizing a systematic literature search and focus group discussion.

Background: The integration of real-world evidence (RWE) from real-world data (RWD) in clinical research is crucial for bridging the gap between clinical trial results and real-world outcomes. Analyzing routinely collected data to generate clinical evidence faces methodological concerns like confounding and bias, similar to prospectively documented observational studies. This study focuses on additional limitations frequently reported in the literature, providing an overview of the challenges and biases inherent to analyzing routine clinical care data, including health claims data (hereafter: routine data).

Early life factors and later metabolic syndrome in European children and adolescents.

Background And Aims: Early life factors have been suggested to be associated with later cardiometabolic risk in children, adolescents and adults. Our study aimed to investigate the associations between early life factors and metabolic syndrome (MetS) in children and adolescents.

Methods And Results: Our analysis sample comprised of 8852 children aged 2-9 years at baseline that participated in up to three examination waves of the pan-European IDEFICS/I.

Low income, being without employment, and living alone: how they are associated with cognitive functioning-Results from the German national cohort (NAKO).

Aim was to investigate to what extent cognitive functioning differs by three socioeconomic conditions: low income, being without employment, and living alone. A total of N = 158,144 participants of the population-based German National Cohort (NAKO) provided data on socioeconomic conditions and completed cognitive tests. Multivariable confounder-adjusted regression analyses indicated that cognitive functioning was lower in those with low income (b = -0.

Protocol for lipid mediator profiling and phenotyping of human M1- and M2-monocyte-derived macrophages during host-pathogen interactions.

Here, we present a protocol for primary, human immune cell isolation and stimulation for lipid mediator profiling. We describe steps for the isolation of monocytes from human leukocyte concentrates via density centrifugation and differentiation/polarization toward M1- or M2-monocyte-derived macrophages (MDMs). We detail stimulation approaches of MDMs with live bacteria or influenza A virus for lipid mediator profiling and sample preparation for subsequent analysis, such as enzyme expression, mRNA analysis, or surface marker determination.