Background: In adults with antisocial personality disorder, literature data indicate alterations in emotional decision making and in the working of the prefrontal cortex. Similar alterations were described in adolescents with psychopathic traits, however, a dimensional link was not established between behavioral variables and variables associated with decision making. The aim of the present study was to describe the relationship between externalizing symptoms and emotional decision making in non-clinical adolescents.
Methods: Originally 57, 7th-10th grade students between 13-16 years participated in the study after informed consent, but the data of 4 adolescents were not used because of incomplete data-set (N=53; 24 girls and 29 boys; age=14.7 ± 1.0 years, mean ± SD). The parent version of the Strengths and Difficulties Questionnaire (SDQ) was used to assess behavioral problems. The Iowa Gambling Task (IGT) performance and Raven IQ measures were also assessed.
Results: The number of summarized risky choices was positively correlated with Conduct Problems Scale of SDQ (r=0.31, p<0.05). While the number of risky choices was not correlated with conduct problems in the first 20 selections (r=0.11, p=n.s.), a marked positive correlation was present in the above measures in the last 20 selections (r=0.28, p<0.05). The number of risky choices did not depend on Raven IQ, age, and other behavioral scales of SDQ.
Conclusions: Even subthreshold conduct symptoms are associated with altered emotional decision making in adolescents, what might be important in the development of antisocial behavior.
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Surgery
January 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy; Department of Hepatobiliary & General Surgery, IRCCS Humanitas Research Hospital, Milan, Italy. Electronic address:
Background: Communicating vessels among hepatic veins in patients with tumors invading/compressing hepatic veins at their caval confluence facilitate new surgical solutions. Although their recognition by intraoperative ultrasound has been described, the possibility of preoperative detection still remains uncertain. We aimed to develop a model to predict their presence before surgery.
View Article and Find Full Text PDFJ Neurosurg
January 2025
Departments of1Neurosurgery.
Objective: Craniopharyngiomas are rare, benign brain tumors that are primarily treated with surgery. Although the extended endoscopic endonasal approach (EEEA) has evolved as a more reliable surgical alternative and yields better visual outcomes than traditional craniotomy, postoperative visual deterioration remains one of the most common complications, and relevant risk factors are still poorly defined. Hence, identifying risk factors and developing a predictive model for postoperative visual deterioration is indeed necessary.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
View Article and Find Full Text PDFJ Clin Oncol
January 2025
INSERM, IMRBU955, Univ Paris Est Créteil, Créteil, France.
Purpose: Establishing an accurate prognosis remains challenging in older patients with cancer because of the population's heterogeneity and the current predictive models' reduced ability to capture the complex interactions between oncologic and geriatric predictors. We aim to develop and externally validate a new predictive score (the Geriatric Cancer Scoring System [GCSS]) to refine individualized prognosis for older patients with cancer during the first year after a geriatric assessment (GA).
Materials And Methods: Data were collected from two French prospective multicenter cohorts of patients with cancer 70 years and older, referred for GA: ELCAPA (training set January 2007-March 2016) and ONCODAGE (validation set August 2008-March 2010).
Am J Health Promot
January 2025
College of Social Work, University of South Carolina, Columbia, SC, USA.
Purpose: Artificially Intelligent (AI) chatbots have the potential to produce information to support shared prostate cancer (PrCA) decision-making. Therefore, our purpose was to evaluate and compare the accuracy, completeness, readability, and credibility of responses from standard and advanced versions of popular chatbots: ChatGPT-3.5, ChatGPT-4.
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