4 research outputs found
Allergic rhinitis and its impact on asthma (ARIA): achievements in 10 years and future needs
No full textAllergic rhinitis (AR) and asthma represent global health problems for all age groups. Asthma and rhinitis frequently coexist in the same subjects. Allergic Rhinitis and its Impact on Asthma (ARIA) was initiated during a World Health Organization workshop in 1999 (published in 2001). ARIA has reclassified AR as mild/moderate-severe and intermittent/persistent. This classification closely reflects patients' needs and underlines the close relationship between rhinitis and asthma. Patients, clinicians, and other health care professionals are confronted with various treatment choices for the management of AR. This contributes to considerable variation in clinical practice, and worldwide, patients, clinicians, and other health care professionals are faced with uncertainty about the relative merits and downsides of the various treatment options. In its 2010 Revision, ARIA developed clinical practice guidelines for the management of AR and asthma comorbidities based on the Grading of Recommendation, Assessment, Development and Evaluation (GRADE) system. ARIA is disseminated and implemented in more than 50 countries of the world. Ten years after the publication of the ARIA World Health Organization workshop report, it is important to make a summary of its achievements and identify the still unmet clinical, research, and implementation needs to strengthen the 2011 European Union Priority on allergy and asthma in children
Effect of COVID-19 pandemic lockdowns on planned cancer surgery for 15 tumour types in 61 countries: an international, prospective, cohort study
No full textnone5203openGlasbey, James; Ademuyiwa, Adesoji; Adisa, Adewale; AlAmeer, Ehab; Arnaud, Alexis P; Ayasra, Faris; Azevedo, José; Minaya-Bravo, Ana; Costas-Chavarri, Ainhoa; Edwards, John; Elhadi, Muhammed; Fiore, Marco; Fotopoulou, Christina; Gallo, Gaetano; Ghosh, Dhruva; Griffiths, Ewen A; Harrison, Ewen; Hutchinson, Peter; Lawani, Ismail; Lawday, Samuel; Lederhuber, Hans; Leventoglu, Sezai; Li, Elizabeth; Gomes, Gustavo Mendonça Ataíde; Mann, Harvinder; Marson, Ella J; Martin, Janet; Mazingi, Dennis; McLean, Kenneth; Modolo, Maria; Moore, Rachel; Morton, Dion; Ntirenganya, Faustin; Pata, Francesco; Picciochi, Maria; Pockney, Peter; Ramos-De la Medina, Antonio; Roberts, Keith; Roslani, April Camilla; Kottayasamy Seenivasagam, Rajkumar; Shaw, Richard; Simões, Joana Filipa Ferreira; Smart, Neil; Stewart, Grant D; Sullivan, Richard; Sundar, Sudha; Tabiri, Stephen; Taylor, Elliott H; Vidya, Raghavan; Nepogodiev, Dmitri; Bhangu, Aneel; Glasbey, James C; McLean, Kenneth; Nepogodiev, Dmitri; 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Depression: Can we predict who will relapse?
No full textThis thesis addresses risk factors and proposed mechanisms to explain relapse to depression. Volume 1 comprises three parts: Part 1 is a literature review consisting of meta-reviews of systematic and non-systematic reviews of studies reporting on risk factors for relapse to depression, and a systematic-review of neuroimaging and experimental studies investigating risk factors for relapse and potential mechanisms of action of these risk factors. The reviews found that only residual symptoms of depression at the end of treatment and childhood maltreatment were sufficiently evidenced as predictors of relapse and neither have great clinical utility. A number of psychological and neuropsychological factors were suggested to play a role in conferring risk for relapse. Considering the inter-relationships between these factors the reviews were used to propose a conceptual framework which may be used to help guide future research into relapse to depression in adults. Part 2 is an empirical paper in which data were analysed from service users of a primary care mental health service to identify risk factors for relapse and for the presence of residual symptoms, and survival analysis methods were used to determine when relapses occur most often and what factors impact survival. In addition, a prospective cohort study was formed to investigate the relationship between cognitive control and depressive symptoms. The findings confirmed that cognitive control can be used to predict residual symptoms of depression post-treatment and therefore potentially to predict relapse. Part 3 is a critical appraisal focussing on the theoretical reasons as to why studying relapse in a manner as used in the prospective study is so important and discusses the logistical difficulties conducting such research in the current context of NHS services and of the D.Clin.Psy research project. Methodological decisions made that impacted upon the research process are discussed and reflective conclusions are offered
