Objective: With meta-analytically estimated rates of about 25%, dropout in psychotherapies is a major concern for individuals, clinicians, and the healthcare system at large. To be able to counteract dropout in psychotherapy, accurate insights about its predictors are needed.
Method: We compared logistic regression models with two machine learning algorithms (elastic net regressions and gradient boosting machines) in the prediction of therapy dropout in two large inpatient samples ( = 1,691 and = 12,473) using baseline and initial process variables reported by patients and therapists.
Immune dysregulation is a hallmark of chronic lymphocytic leukemia (CLL). Anti-CD20 antibodies (e.g.
View Article and Find Full Text PDFThe article shows that the input given by healthcare professionals (HCPs) adds value to the regulatory processes surrounding the development, authorisation, and monitoring of a medicine, but is also an instrument for accountability, trust, mutual exchange as well as an insight into the public health issues that matter most to one of the key stakeholder groups the Agency works with. We highlight the role of HCPs in the EU regulatory process and take stock of the first 10 years of the Framework for Interaction with HCPs to describe how practises have evolved over this time to meet the goals of informing, consulting and improving trust in the EU regulatory system. We will analyse what led European Medicines Agency (EMA) to develop this framework through to the next steps and where the interaction might lead in the future.
View Article and Find Full Text PDFAutoimmune hemolytic anemia (AIHA) is a rare autoantibody-mediated disease. For steroid and/or rituximab-refractory AIHA, there is no consensus on optimal treatment. Daratumumab, a monoclonal antibody targeting CD38, could be beneficial by suppression of CD38+ plasma cells and thus autoantibody secretion.
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