Early adipose tissue wasting in a novel preclinical model of human lung cancer cachexia.

Cancer cachexia (CC), a syndrome of skeletal muscle and adipose tissue wasting, reduces responsiveness to therapies and increases mortality. There are no approved treatments for CC, which may relate to discordance between pre-clinical models and human CC. To address the need for clinically relevant models, we generated tamoxifen-inducible, epithelial cell specific ( ) mice.

Parameterization of beta distributions for bias parameters of binary exposure misclassification in probabilistic bias analysis.

To account for misclassification of dichotomous variables using probabilistic bias analysis, beta distributions are often assigned to bias parameters (e.g., PPV and NPV) based on data from an internal validation substudy.

Adjusting adjustments: Using external data to estimate the impact of different confounder sets on published associations.

Background: A 2013 meta-analysis observed a protective association between overweight BMI (versus normal BMI) and all-cause mortality that was particularly strong in people aged ≥65. Estimates informing this meta-analysis were highly heterogeneous, and critics raised insufficient or inappropriate confounder adjustment in many studies as an explanation for the protective summary association. Using this topic as an example, we demonstrate a novel approach for external adjustment of individual studies for a uniform and sufficient confounder set before meta-analysis.

Classification of Breast Lymphedema in a Racially Diverse Cohort.

Breast lymphedema is a common sequela of breast conservation that delays healing and reduces quality of life. No rigorous classification system exists for this condition. We explored approaches for classifying breast lymph-edema based on breast ultrasound, physical exam, and patient-reported outcomes.