A feasibility randomized controlled trial of an individually delivered, peer support intervention to reduce the impact of psychosis stigma and discrimination for people with psychosis: the let's talk study.

Background: Stigma of mental health conditions hinders recovery and well-being. The Honest, Open, Proud (HOP) program shows promise in reducing stigma but there is uncertainty about the feasibility of a randomized trial to evaluate a peer-delivered, individual adaptation of HOP for psychosis (Let's Talk).

Methods: A multi-site, Prospective Randomized Open Blinded Evaluation (PROBE) design, feasibility randomised controlled trial (RCT) comparing the peer-delivered intervention (Let's Talk) to treatment as usual (TAU).

Do we need urine drug screens in opioid addiction treatment: An observational study on self-report versus urine drug screens.

Background: The substance use crisis continues to progress. Medication for Opioid Use Disorder (MOUD) are prescribed to reduce opioid use and related harms; however, many individuals continue to use substances while on treatment. The objective of this study was to describe the temporal and demographic trends of the agreement between self-reported and urine tested substances.

Endovascular thrombectomy for acute ischemic stroke with primary occlusion of the anterior cerebral artery: A meta-analysis.

Background: Anterior cerebral artery (ACA) occlusions account for up to 4 % of all acute ischemic strokes and may lead to debilitating outcomes. While endovascular thrombectomy (EVT) is a well-established treatment for large vessel occlusions, its efficacy and safety for primary ACA occlusions remains unclear. This systematic review and meta-analysis aims to address this gap by evaluating the clinical outcomes, safety, and efficacy of EVT in the treatment for primary ACA occlusions.

Predicting remission following CBT for childhood anxiety disorders: a machine learning approach.

Background: The identification of predictors of treatment response is crucial for improving treatment outcome for children with anxiety disorders. Machine learning methods provide opportunities to identify combinations of factors that contribute to risk prediction models.

Methods: A machine learning approach was applied to predict anxiety disorder remission in a large sample of 2114 anxious youth (5-18 years).

Use of NSAIDs and acetaminophen and risk of spontaneous intestinal perforations in premature infants: a systematic review and meta-analysis.

Background: Acquired spontaneous intestinal perforation or SIP occurs most commonly in the extremely premature infant population. As the incidence is rising, understanding modifiable factors such as common medication exposures becomes important for individualizing care.

Methods: The primary outcome was SIP in premature infants with exposure to indomethacin, ibuprofen, or acetaminophen.