Publications by authors named "Jose Guerrero Lopez"

Importance: Guided internet-delivered cognitive behavioral therapy (i-CBT) is a low-cost way to address high unmet need for anxiety and depression treatment. Scalability could be increased if some patients were helped as much by self-guided i-CBT as guided i-CBT.

Objective: To develop an individualized treatment rule using machine learning methods for guided i-CBT vs self-guided i-CBT based on a rich set of baseline predictors.

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Since the description of the first case with gray platelet syndrome (GPS) in 1971, this rare inherited platelet disorder has been the focus of extensive clinical and basic research. These studies have not only increased our knowledge about the clinical manifestations of GPS but also deepened our understanding of the biogenesis of platelet α-granules and their pathophysiology in hemostasis and thrombosis. The discovery of the causal gene, neurobeachin-like 2, in 2011 was a milestone in hematology.

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Background: Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are highly prevalent among university students and predict impaired college performance and later life role functioning. Yet most students do not receive treatment, especially in low-middle-income countries (LMICs). We aim to evaluate the effects of expanding treatment using scalable and inexpensive Internet-delivered transdiagnostic cognitive behavioral therapy (iCBT) among college students with symptoms of MDD and/or GAD in two LMICs in Latin America (Colombia and Mexico) and to investigate the feasibility of creating a precision treatment rule (PTR) to predict for whom iCBT is most effective.

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Our objective was to evaluate levels of trait and state anxiety in a group of peri- and postmenopausal women and to explore the relation of hormonal therapy to levels of anxiety. Peri- (n = 63) and postmenopausal (n = 236) women were evaluated between March and September 2013. The assessed variables were menopausal status, anxiety (using the state and trait anxiety inventory), and sociodemographic and clinical variables.

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Introduction: High prevalence of depression and anxiety symptoms has been observed in medical students.

Objective: To identify predictors of depressive symptoms according to CES-D in students during their first year of medical education.

Methods: We evaluated 517 students in their first year of medical education with the following instruments: Centers for Epidemiology Studies for Depression Scale, State-Trait anxiety inventory, and stressors list.

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