Background: Differences in trial design may affect estimates of efficacy of psychotropic drugs. The purpose of this meta-analysis is to evaluate whether the use of Olanzapine (OLZ) as either investigational or control drug affects the observed efficacy of OLZ.
Methods: We performed a search for Randomized-Controlled Trials (RCTs) in which the efficacy of OLZ is assessed in patients with schizophrenia or schizoaffective disorder.
Introduction: Relationships between inflammation and mood have been observed in terms of pro-inflammatory effects induced by depressive conditions and, in parallel, by an antidepressant-induced favorable effect on the recovery of inflammatory states. Selective serotonin reuptake inhibitor (SSRI) drugs were hypothesized to improve the prognosis of COVID-19 pneumonia, a typical acute inflammation, in terms of decreased mortality rate and pro-inflammatory cytokine serum levels.
Methods: The medical records of COVID-19 pneumonia inpatients at Careggi University Hospital (Florence) were analyzed for prognosis and Interleukin 6 (IL-6) after admission for over a period of 22 months.
Purpose: Health Literacy (HL) consists in all the skills and knowledges used by people to understand and seek health-related information. Inadequate levels of HL substantially affect many different aspects of health. The primary aim of the present study was to assess levels of HL in female patients with anorexia nervosa (AN) and bulimia nervosa (BN), compared with matched control subjects.
View Article and Find Full Text PDFIntroduction: The Aberrant Salience Inventory (ASI) is a useful tool to measure salience abnormalities among the general population. There is strong clinical and scientific evidence that salience alteration is linked to psychosis. To the present day, no meta-analysis evaluating ASI's psychometric properties and screening potential has been published.
View Article and Find Full Text PDFPurpose: Tc-MDP single-photon emission computed tomography (SPECT) is an established tool for diagnosing lumbar stress, a common cause of low back pain (LBP) in pediatric patients. However, detection of small stress lesions is complicated by the low quality of SPECT, leading to significant interreader variability. The study objectives were to develop an approach based on a deep convolutional neural network (CNN) for detecting lumbar lesions in Tc-MDP scans and to compare its performance to that of physicians in a localization receiver operating characteristic (LROC) study.
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