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http://dx.doi.org/10.1583/05-1509.1 | DOI Listing |
Tech Coloproctol
January 2025
Colorectal Surgery Unit, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona UAB, Barcelona, Spain.
Background: Patients with rectal cancer often experience adverse effects on urinary, sexual, and digestive functions. Despite recognised impacts and available treatments, they are not fully integrated into follow-up protocols, thereby hindering appropriate interventions. The aim of the study was to discern the activities conducted in our routine clinical practice outside of clinical trials.
View Article and Find Full Text PDFSeizure
December 2024
University College Hospital, London, UK; UCL Queen Square Institute of Neurology: Department of Clinical and Experimental Epilepsy, London WC1N 3BG, UK. Electronic address:
Objective: Professional bodies recommend the use of performance validity tests (PVTs) to aid the interpretation of scores obtained in neuropsychological assessments, but base rates of failure differ according to neurological diagnosis and the associated impairments. This review summarises the PVT literature in people with epilepsy with the aim of establishing base rates of PVT failure and the factors associated with PVT performance in this population.
Methods: Ovid and PubMed databases were searched for studies reporting PVT test performance in people with epilepsy.
Behav Res Methods
December 2024
Univ. Bordeaux, LabPsy, UR 4139, Bordeaux, France.
J Pediatr Urol
November 2024
Department of Urology, University of Kentucky, Lexington, KY, USA. Electronic address:
Background: Historically, word of mouth, total citation count, H-index, and expert opinion were some of the primary metrics used to identify the most influential papers. This method is subject to significant bias. The disruption score was initially created with the intent of measuring the degree to which a publication introduces a new idea, is repeatedly referenced and may be used as an additional publication evaluation metric.
View Article and Find Full Text PDFJ Behav Addict
December 2024
2Institute of Psychology, University of Lausanne, Lausanne, Switzerland.
In their study, Stavropoulos et al. (2023) capitalized on supervised machine learning and a longitudinal design and reported that the User-Avatar Bond could be accurately employed to detect Gaming Disorder (GD) risk in a community sample of gamers. The authors suggested that the User-Avatar Bond is a "digital phenotype" that could be used as a diagnostic indicator for GD risk.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!