Short- and medium-term effects of a single session of pain neuroscience education on pain and psychological factors in patients with chronic low back pain. A single-blind randomized clinical trial.

Introduction: Biopsychosocial approach in patients suffering chronic low back pain (CLBP) promotes pain self-management strategies. Current evidence recommends high dose of Pain Neuroscience Education (PNE) for clinically significant differences. However, the workload and time constraints experienced by healthcare providers impede the application of the recommended treatment regimen.

A Novel Decision Tree Model for Predicting the Cancer-Specific Survival of Patients with Bladder Cancer Treated with Radical Cystectomy.

: The aim was to develop a decision tree and a new prognostic tool to predict cancer-specific survival in patients with urothelial bladder cancer treated with radical cystectomy. : A total of 11,834 patients with bladder cancer treated with radical cystectomy between 2004 and 2019 from the SEER database were randomly split into the derivation ( = 7889) and validation cohorts ( = 3945). Survival curves were estimated using conditional decision tree analysis.

Cyberbullying: Common Predictors to Cyber-Victimisation and Bystanding.

Unlabelled: Cyberbullying has increased worryingly in the last decade, becoming a mental health problem in adolescence. Research usually focuses on cyber-bullies or cyber-victims, overlooking that these roles may overlap (e.g.

Characterization and prediction of gambling behavior in adolescents using the COM-B model.

Gambling is an international phenomenon, posing a serious threat to adolescents who begin gambling at a young age. This study aims, to explore gambling behavior in adolescents and interpret its risk factors. We conducted a three-waves cohort longitudinal study assessing gambling and associated risk factors in south-eastern Spain.

Derivation and validation of a risk score for admission to the Intensive Care Unit in patients with COVID-19.

Background: This work aims to identify and validate a risk scale for admission to intensive care units (ICU) in hospitalized patients with coronavirus disease 2019 (COVID-19).

Methods: We created a derivation rule and a validation rule for ICU admission using data from a national registry of a cohort of patients with confirmed SARS-CoV-2 infection who were admitted between March and August 2020 (N = 16,298). We analyzed the available demographic, clinical, radiological, and laboratory variables recorded at hospital admission.