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http://dx.doi.org/10.1186/1939-4551-6-S1-P5 | DOI Listing |
Allergy Asthma Clin Immunol
January 2025
Division of Allergy and Clinical Immunology, Department of Pediatrics, Montreal Children's Hospital, McGill University Health Centre, Montreal, QC, Canada.
Primary immunodeficiencies (PID), now often referred to as inborn errors of immunity (IEI), are a large heterogeneous group of disorders that result from deficiencies in immune system development and/or function. IEIs can be broadly classified as disorders of adaptive immunity (e.g.
View Article and Find Full Text PDFBMC Cancer
January 2025
Breast Surgery Department, Hangzhou Institute of Medicine, Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Adjuvant endocrine therapy (AET) is essential for improving survival and reducing mortality and recurrence rates in breast cancer (BrCa) patients. However, the adherence to AET among BrCa patients is poor, and there is no scale to measure adherence to AET or the reasons for non-adherence among BrCa patients in mainland China. The aim of this study was to assess the psychometric properties of the simple Chinese version of the Medication Adherence Reasons (MAR) scale in BrCa patients undergoing AET.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Allergic diseases and ulcerative colitis (UC) share pathophysiological similarities. This study aimed to investigate the unclear association between allergic diseases and mucosal healing (MH), an important factor in the prognosis of UC. We studied 289 Japanese patients with UC.
View Article and Find Full Text PDFDig Dis Sci
January 2025
Division of Gastroenterology and Hepatology, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, USA.
Background: Eosinophilic esophagitis (EoE) is an increasingly common cause of food impaction.
Aims: This study aims to provide a nationwide analysis of food impaction in patients with or without EoE diagnosis, concentrating on patient demographics, interventions, outcomes, and development of predictive machine-learning models.
Methods: A retrospective assessment was conducted using Nationwide Emergency Department Sample data from January 1, 2018, to December 31, 2019.
Eur Respir Rev
January 2025
Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.
Introduction: Numerous studies have characterised trajectories of asthma and allergy in children using machine learning, but with different techniques and mixed findings. The present work aimed to summarise the evidence and critically appraise the methodology.
Methods: 10 databases were searched.
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