Objectives: To examine prevalence trends in the use of smoked tobacco products in 11 South American (SA) countries (i.e., Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Paraguay, Peru, Suriname, Uruguay, and Venezuela) and their association with country-specific socio-demographic index (SDI) over 30 years.
View Article and Find Full Text PDFBackground: Female recipients of allogeneic hematopoietic stem cell transplantation are at high risk of developing human papillomavirus (HPV)-associated lesions and (pre)cancer. We describe the results of a cervical cancer screening program in these women.
Methods: From 2010 to 2022, 70 female recipients of allogeneic hematopoietic stem cell transplantation in our institution entered a standardized protocol of gynecological evaluation.
Aim: Inadequate response to antidepressant therapy (ADT) is common in major depressive disorder (MDD); atypical antipsychotic (AA) adjunctive therapy may be effective for these patients. This study aimed to compare healthcare resource utilization (HRU) and costs between patients initiating the AA cariprazine as their first adjunctive therapy vs those initiating cariprazine subsequently.
Methods: The Merative MarketScan® Commercial Database (January 1, 2015, to June 30, 2021) was used to identify US adults with MDD and ≥1 pharmacy claim for cariprazine adjunctive to ADT in 2018 or after.
Subst Abuse Treat Prev Policy
January 2025
Introduction: Global demand for the treatment of cannabis use disorder has increased significantly, prompting a need to understand effective strategies for addressing concurrent cannabis and tobacco use. This study focuses on clinicians' experiences and perceptions in delivering tobacco cessation services to people who use cannabis.
Methods: Fifteen participants (12 females, 3 males) participated in three homogenous focus groups, including two groups with extensive experience in providing tobacco cessation among the substance use population in Catalonia, Spain, and one group of clinicians without such experience.
We addressed genomic prediction accounting for partial correlation of marker effects, which entails the estimation of the partial correlation network/graph (PCN) and the precision matrix of an unobservable m-dimensional random variable. To this end, we developed a set of statistical models and methods by extending the canonical model selection problem in Gaussian concentration, and directed acyclic graph models. Our frequentist formulations combined existing methods with the EM algorithm and were termed Glasso-EM, Concord-EM and CSCS-EM, whereas our Bayesian formulations corresponded to hierarchical models termed Bayes G-Sel and Bayes DAG-Sel.
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