Cyclin-dependent kinase 4/6 inhibitors (CDKIs) in combination with endocrine therapy (ET) are the standard-of-care in the first-line treatment of HR-positive, HER2-negative metastatic breast cancer. In the absence of direct head-to-head trials comparing the efficacy and safety of the different CDKIs, the individual choice of treatment in everyday practice is complex. Inverse probability of treatment weighting was used to emulate a head-to-head comparison of palbociclib +ET (PALBO) and ribociclib +ET (RIBO) in patients recruited into the prospective, observational, multicenter registry platform OPAL (NCT03417115).
View Article and Find Full Text PDFBackground: Individuals at risk for bipolar disorder (BD) have a wide range of genetic and non-genetic risk factors, like a positive family history of BD or (sub)threshold affective symptoms. Yet, it is unclear whether these individuals at risk and those diagnosed with BD share similar gray matter brain alterations.
Methods: In 410 male and female participants aged 17-35 years, we compared gray matter volume (3T MRI) between individuals at risk for BD (as assessed using the EPI scale; = 208), patients with a DSM-IV-TR diagnosis of BD ( = 87), and healthy controls ( = 115) using voxel-based morphometry in SPM12/CAT12.
Background: Multivariate data-driven statistical approaches offer the opportunity to study multi-dimensional interdependences between a large set of biological parameters, such as high-dimensional brain imaging data. For gyrification, a putative marker of early neurodevelopment, direct comparisons of patterns among multiple psychiatric disorders and investigations of potential heterogeneity of gyrification within one disorder and a transdiagnostic characterization of neuroanatomical features are lacking.
Methods: In this study we used a data-driven, multivariate statistical approach to analyze cortical gyrification in a large cohort of N = 1028 patients with major psychiatric disorders (Major depressive disorder: n = 783, bipolar disorder: n = 129, schizoaffective disorder: n = 44, schizophrenia: n = 72) to identify cluster patterns of gyrification beyond diagnostic categories.