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Mindfulness Training vs Recovery Support for Opioid Use, Craving, and Anxiety During Buprenorphine Treatment: A Randomized Clinical Trial.
JAMA Netw Open
January 2025
Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.
Importance: During buprenorphine treatment for opioid use disorder (OUD), risk factors for opioid relapse or treatment dropout include comorbid substance use disorder, anxiety, or residual opioid craving. There is a need for a well-powered trial to evaluate virtually delivered groups, including both mindfulness and evidence-based approaches, to address these comorbidities during buprenorphine treatment.
Objective: To compare the effects of the Mindful Recovery Opioid Use Disorder Care Continuum (M-ROCC) vs active control among adults receiving buprenorphine for OUD.
Background: Molnupiravir (MOV) is an orally bioavailable ribonucleoside with antiviral activity against all tested SARS-CoV-2 variants. We describe the demographic, clinical, and treatment characteristics of non-hospitalized Danish patients treated with MOV and their clinical outcomes following MOV initiation.
Method: Among all adults (>18 years) who received MOV between 16 December 2021 and 30 April 2022 in an outpatient setting in Denmark, we summarized their demographic and clinical characteristics at baseline and post-MOV outcomes using descriptive statistics.
Exploring the influence of medical staffing and birth volume on observed-to-expected cesarean deliveries: a panel data analysis of integrated obstetric and gynecological departments in Germany.
Eur J Health Econ
January 2025
Department of Business Administration and Health Care Management, Faculty of Management, Economics and Social Sciences, University of Cologne, Cologne, Germany.
Introduction: Cesarean deliveries account for approximately one-third of all births in Germany, prompting ongoing discussions on cesarean section rates and their connection to medical staffing and birth volume. In Germany, the majority of departments integrate obstetric and gynecological care within a single department.
Methods: The analysis utilized quality reports from German hospitals spanning 2015 to 2019.
Machine learning-based prognostic model for patients with anaplastic thyroid carcinoma.
Discov Oncol
January 2025
Department of Thyroid Breast Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Objective: Despite the identification of various prognostic factors for anaplastic thyroid carcinoma (ATC) patients over the years, a precise prognostic tool for these patients is still lacking. This study aimed to develop and validate a prognostic model for predicting survival outcomes for ATC patients using random survival forests (RSF), a machine learning algorithm.
Methods: A total of 1222 ATC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and randomly divided into a training set of 855 patients and a validation set of 367 patients.
Prognostic value of interim [F]FDG PET/CT after immunotherapy-based combinations in extranodal NK/T-cell lymphoma, nasal type.
Eur Radiol
January 2025
Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Purpose: To evaluate the prognostic value of interim [F]Fluorodeoxyglucose positron emission tomography/computed tomography ([F]FDG PET/CT) after immunotherapy-based systemic therapies in extranodal natural killer/T-cell lymphoma (ENKTL).
Patients And Methods: We retrospectively recruited 133 newly diagnosed nasal-type ENKTL patients who underwent interim [F]FDG PET/CT scans after 2-4 cycles of immunotherapy-based treatments. Interim PET/CT was interpreted by maximum standardized uptake value (SUV), Deauville 5-point scale (DS), and early treatment response.
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