Adhikari, Neill KJ Hashmi, Madiha Tirupakuzhi Vijayaraghavan, Bharath Kuma... Haniffa, Rashan Beane, Abi Webb, Steve A Angus, Derek C Gordon, Anthony C Cook, Deborah J Guyatt, Gordon H
...
IMPORTANCE: The efficacy of vitamin C for hospitalized patients with COVID-19 is uncertain. OBJECTIVE: To determine whether vitamin C improves outcomes for patients with COVID-19. DESIGN, SETTING, AND PARTICIPANTS: Two prospectively harmonized randomized clinical trials enrolled critically ill patients receiving organ support in intensive care unit...
Joshi, GP; Albrecht, E; van de Velde, M; 34202; Kehlet, H; Lobo, DN;
The procedure-specific postoperative pain management (PROSPECT) working group develops evidence-based pain management recommendations. PROSPECT methodology is unique and rigorous. However, several limitations were recognised that needed to be addressed, and several new factors were identified that improved PROSPECT methodology. The aim of this arti...
Karliner, Leah Smith, Ashley Leykin, Yan Gregorich, Steven Livaudais-Toman, Jennifer Velazquez, Ana Lowenstein, Margaret Kaplan, Celia Walsh, Judith
BACKGROUND: Lung cancer screening (LCS) is recommended for individuals at high risk due to age and smoking history after a shared decision-making conversation. However, little is known about best strategies for incorporating shared decision-making, especially in a busy primary care setting. OBJECTIVE: To develop a novel tool, Lung Cancer Assessment...
Doumen, Michael; 141143; De Meyst, Elias; Lefevre, Cedric; Pazmino, Sofia; Joly, Johan; Bertrand, Delphine; 126324; Devinck, Mieke; Westhovens, Rene; 8450; Verschueren, Patrick; 4770;
BACKGROUND: Rheumatoid arthritis (RA) considerably impacts patients' lives. Patients' confidence in their ability to manage this impact, or self-efficacy, can be supported with self-management interventions. One approach is to use mobile health (mHealth) applications, which can additionally provide insight into disease impact by remotely monitoring...
Cebere, Bogdan Pashayan, Nora Navani, Neal van der Schaar, Mihaela Janes, Sam Callender, Thomas Imrie, Fergus
BACKGROUND: Risk-based screening for lung cancer is currently being considered in several countries; however, the optimal approach to determine eligibility remains unclear. Ensemble machine learning could support the development of highly parsimonious prediction models that maintain the performance of more complex models while maximising simplicity...
Montoya, Lina Kosorok, Michael Geng, Elvin Schwab, Joshua Odeny, Thomas Petersen, Maya
Personalized intervention strategies, in particular those that modify treatment based on a participants own response, are a core component of precision medicine approaches. Sequential multiple assignment randomized trials (SMARTs) are growing in popularity and are specifically designed to facilitate the evaluation of sequential adaptive strategies,...
Bogemann, SA; Riepenhausen, A; Puhlmann, LMC; Bar, S; Hermsen, EJC; Mituniewicz, J; Reppmann, ZC; Uscilko, A; van Leeuwen, JMC; Wackerhagen, C;
...
BACKGROUND: Stress-related disorders such as anxiety and depression are highly prevalent and cause a tremendous burden for affected individuals and society. In order to improve prevention strategies, knowledge regarding resilience mechanisms and ways to boost them is highly needed. In the Dynamic Modelling of Resilience - interventional multicenter...
Samaniego, Jane Sharp, Sydney Taren, Douglas Zuber, Alexandra Armistad, Amy Dezan, Amanda Leyba, Azure Friedly, Janna Bunnell, Aaron Matthews, Eva
...
BACKGROUND: The clinical burden of Long COVID, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and other post-infectious fatiguing illnesses (PIFI) is increasing. There is a critical need to advance understanding of the effectiveness and sustainability of innovative approaches to clinical care of patients having these conditions. METHO...
Wen, Alainna Wolitzky-Taylor, Kate Gibbons, Robert Craske, Michelle
BACKGROUND: There is growing interest in using personalized mental health care to treat disorders like depression and anxiety to improve treatment engagement and efficacy. This randomized controlled trial will compare a traditional symptom severity decision-making algorithm to a novel multivariate decision-making algorithm for triage to and adaptat...
Callaway, Catherine Sarfan, Laurel Agnew, Emma Dong, Lu Spencer, Julia Hache, Rafael Diaz, Marlen Howlett, Shayna Fisher, Krista Yates, Heather
...
BACKGROUND: Train-the-trainer (TTT) is a promising method for implementing evidence-based psychological treatments (EBPTs) in community mental health centers (CMHCs). In TTT, expert trainers train locally embedded individuals (i.e., Generation 1 providers) to deliver an EBPT, who then train others (i.e., Generation 2 providers). The present study w...