Results 111 to 120 of about 78,630 (267)

Preoperative Resilience, Self‐Efficacy, and Grit Are Associated With Postoperative Functional Outcomes in the Sports Medicine Patient: A Systematic Review

Arthroscopy, Sports Medicine, and Rehabilitation, EarlyView.
Purpose To assess the impact of personality traits on postoperative functional outcomes in patients undergoing common orthopaedic sports medicine surgeries. Methods A systematic review of PubMed (MEDLINE), Scopus (EMBASE, MEDLINE, COMPENDEX), and Cochrane Central database from inception to October 1, 2024, was conducted.
Claude J. Regis, Terence L. Thomas, Harrison S. Fellheimer, Molly Milano, Graham S. Goh, Fotios P. Tjoumakaris, Kevin B. Freedman   +6 more
wiley   +1 more source

Prediction of Relapse and Glucocorticoid Dependence in Eosinophilic Granulomatosis With Polyangiitis: Findings From a Large European Cohort

Arthritis &Rheumatology, EarlyView.
Objective Eosinophilic granulomatosis with polyangiitis (EGPA) is a small vessel vasculitis characterized by eosinophilia, asthma, and ear, nose, and throat (ENT) involvement. Although glucocorticoids (GCs) are effective in controlling symptoms, relapses and GC dependence are common. The aim of this study was to develop predictive models for vasculitis
Matthias Papo, Pauline Martinot, Renato A. Sinico, Vítor Silvestre‐Teixeira, Nils Venhoff, Maria‐Letizia Urban, Michele Iudici, Juliane Mahrhold, Francesco Locatelli, Giulia Cassone, Franco Schiavon, Benjamin Seeliger, Thomas Neumann, Claudia Feder, Matthieu Groh, Chiara Marvisi, Maxime Samson, Thomas Barba, David Jayne, Arianna Troilo, Jens Thiel, Bernhard Hellmich, Sara Monti, Carlomaurizio Montecucco, Carlo Salvarani, Jean‐Emmanuel Kahn, Bernard Bonnotte, Cécile‐Audrey Durel, Xavier Puéchal, Luc Mouthon, Loïc Guillevin, Giacomo Emmi, Augusto Vaglio, Raphaël Porcher, Benjamin Terrier, on behalf of the French Vasculitis Study Group and the Eosinophilic Granulomatosis with Polyangiitis European Study Group   +35 more
wiley   +1 more source

A Metabolomic Signature Predicts Gout Flare Clinical Outcome Associated With Colchicine Prophylaxis

Arthritis &Rheumatology, EarlyView.
Objective This study investigated that serum metabolomics, before urate‐lowering therapy (ULT) initiation, could serve as a biomarker for responsiveness to colchicine prophylaxis in patients with gout commencing treat‐to‐target ULT. Methods We studied a multicenter prospective cohort (n = 409) initiating treat‐to‐target ULT plus colchicine prophylaxis.
Wenyan Sun, Lingfang Xu, Haibing Chen, Mingshu Sun, Zhiqiang Li, Rui Li, Lidan Ma, Hui Zhang, Aichang Ji, Yuwei He, Na Wu, Le Yan, Robert Terkeltaub, Changgui Li   +13 more
wiley   +1 more source

Intensive Induction in AML in the Era of Venetoclax: A Standing Count for “7 + 3”?

American Journal of Hematology, EarlyView.
Sudhir Tauro, Ayalew Tefferi
wiley   +1 more source

Identifying Systemic Lupus Erythematosus From Serum Proteomic Profiles Using Machine Learning and Genetic Risk Stratification

Arthritis &Rheumatology, EarlyView.
Objective Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Patients with lupus and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu, Jishnu Das, Amr H. Sawalha   +2 more
wiley   +1 more source

Impacts of body donor non‐anonymization on students' educational and humanistic development: A systematic review

Anatomical Sciences Education, EarlyView.
Abstract A recent trend in healthcare education has been the increasing emphasis on the development of humanism and empathy in students. Within anatomy education, some institutions have implemented curricular innovations such as donor non‐anonymization to facilitate this development.
Rodrigo Muscogliati, Eduardo Muscogliati, Weronika Nocun, Kat A. Sanders, Lauren Clunie, Paul J. McKeegan   +5 more
wiley   +1 more source

Is artificial intelligence getting better at anatomy? A two‐year review of ChatGPT's free public versions

Anatomical Sciences Education, EarlyView.
Abstract Artificial intelligence and large language models have significantly influenced medical education by enhancing learning experiences. While previous studies have assessed ChatGPT's performance on anatomy‐related questions, a notable gap remains in understanding its accuracy over time. This longitudinal study evaluated the progression of ChatGPT'
Bahattin Paslı, Ceren Günenç Beşer
wiley   +1 more source

Beyond knowledge: Cultivating noncognitive skills and attributes through anatomy education

Anatomical Sciences Education, EarlyView.
Abstract Anatomy education has historically prioritized cognitive knowledge acquisition and technical skills, such as spatial awareness and manual dexterity. Noncognitive attributes, essential for early‐stage learners, such as social skills, motivation, emotional intelligence, self‐regulation, self‐efficacy, and resilience, have remained comparatively ...
Renato Lopes Previdelli, Sarah Beth Channon   +1 more
wiley   +1 more source

Affective dimensions in the information behavior of forcibly displaced people: A literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley   +1 more source

Scientific collaboration in data‐intensive research networks: PhD fellows' expectations and early experiences

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Collaboration has become important at all stages of research careers. In data‐intensive research fields such as wind energy, many PhD fellows are socialized to such collaboration in networks that train a cohort of PhD fellows. Based on interviews with 23 PhD fellows in four wind‐energy training networks, we investigate their expectations and ...
Grischa Fraumann, Haakon Lund, Frans van der Sluis, Morten Hertzum   +3 more
wiley   +1 more source