Institution
Celal Bayar University
Education•Magnesia ad Sipylum, Turkey•
About: Celal Bayar University is a education organization based out in Magnesia ad Sipylum, Turkey. It is known for research contribution in the topics: Population & Heat transfer. The organization has 2960 authors who have published 6024 publications receiving 100646 citations.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this paper, an Ag-doped TiO 2 film was successfully synthesized by sol-gel spin coating technique on the Si substrates and its crystal phase structure, surface morphology, chemical and optical properties were characterized using an X-ray diffractometer (XRD), scanning electron microscopy (SEM), Xray photoelectron spectroscopy (XPS), UV-vis spectrophotometer, and FTIR spectrogotometer.
143 citations
••
TL;DR: MASK appears to be an advanced, global and integrated ICT answer for many unmet needs in allergic diseases which will improve policies and standards.
Abstract: Several unmet needs have been identified in allergic rhinitis: identification of the time of onset of the pollen season, optimal control of rhinitis and comorbidities, patient stratification, multidisciplinary team for integrated care pathways, innovation in clinical trials and, above all, patient empowerment. MASK-rhinitis (MACVIA-ARIA Sentinel NetworK for allergic rhinitis) is a simple system centred around the patient which was devised to fill many of these gaps using Information and Communications Technology (ICT) tools and a clinical decision support system (CDSS) based on the most widely used guideline in allergic rhinitis and its asthma comorbidity (ARIA 2015 revision). It is one of the implementation systems of Action Plan B3 of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA). Three tools are used for the electronic monitoring of allergic diseases: a cell phone-based daily visual analogue scale (VAS) assessment of disease control, CARAT (Control of Allergic Rhinitis and Asthma Test) and e-Allergy screening (premedical system of early diagnosis of allergy and asthma based on online tools). These tools are combined with a clinical decision support system (CDSS) and are available in many languages. An e-CRF and an e-learning tool complete MASK. MASK is flexible and other tools can be added. It appears to be an advanced, global and integrated ICT answer for many unmet needs in allergic diseases which will improve policies and standards.
142 citations
••
TL;DR: In this article, the HPLC/UV-Vis method was used to determine nine polycyclic aromatic hydrocarbons in corn, sunflower, olive oils and barbecued meats and fish.
141 citations
••
TL;DR: Data suggest that both VL and CL represent a public health problem in Turkey, but a decline is observed in the number of cases with both infections in recent years.
141 citations
••
University of Marburg1, National Institutes of Health2, McMaster University3, National and Kapodistrian University of Athens4, University of Manchester5, University of Crete6, Transylvania University7, Ghent University Hospital8, Charité9, Woolcock Institute of Medical Research10, Humanitas University11, University of Cartagena12, University of South Florida13, University of Porto14, Federal University of Bahia15, King's College London16, Saint Louis University17, Hospital Clínico San Carlos18, Erasmus University Rotterdam19, University of Helsinki20, Odense University Hospital21, University of Amsterdam22, Katholieke Universiteit Leuven23, Chiba University24, Wrocław Medical University25, Ukrainian Medical Stomatological Academy26, Hacettepe University27, Medical University of Łódź28, Boston Children's Hospital29, Vilnius University30, National Research Council31, Oslo University Hospital32, University of Oslo33, University of Beira Interior34, University of Copenhagen35, University of Naples Federico II36, University of Barcelona37, Monash University38, University of Messina39, Ajou University40, Charles University in Prague41, University of Genoa42, Pasteur Institute43, University of Southampton44, Nippon Medical School45, University of Edinburgh46, Medical University of Warsaw47, University College London48, Imperial College London49, Medical University of Graz50, University of Coimbra51, European Union of Medical Specialists52, University of Turku53, University of Bari54, Nova Southeastern University55, Celal Bayar University56
TL;DR: Care pathways for AIT are reviewed using strict criteria and simple recommendations are provided that can be used by all stakeholders including healthcare professionals.
Abstract: Allergen immunotherapy (AIT) is a proven therapeutic option for the treatment of allergic rhinitis and/or asthma. Many guidelines or national practice guidelines have been produced but the evidence-based method varies, many are complex and none propose care pathways. This paper reviews care pathways for AIT using strict criteria and provides simple recommendations that can be used by all stakeholders including healthcare professionals. The decision to prescribe AIT for the patient should be individualized and based on the relevance of the allergens, the persistence of symptoms despite appropriate medications according to guidelines as well as the availability of good-quality and efficacious extracts. Allergen extracts cannot be regarded as generics. Immunotherapy is selected by specialists for stratified patients. There are no currently available validated biomarkers that can predict AIT success. In adolescents and adults, AIT should be reserved for patients with moderate/severe rhinitis or for those with moderate asthma who, despite appropriate pharmacotherapy and adherence, continue to exhibit exacerbations that appear to be related to allergen exposure, except in some specific cases. Immunotherapy may be even more advantageous in patients with multimorbidity. In children, AIT may prevent asthma onset in patients with rhinitis. mHealth tools are promising for the stratification and follow-up of patients.
140 citations
Authors
Showing all 3053 results
Name | H-index | Papers | Citations |
---|---|---|---|
Michael Berk | 116 | 1284 | 57743 |
G. Raven | 114 | 1879 | 71839 |
Tjeerd Ketel | 99 | 1067 | 46335 |
Francesco Dettori | 95 | 1026 | 41313 |
Manuel Schiller | 95 | 1004 | 41734 |
John A. McGrath | 75 | 631 | 24078 |
E. Pesen | 50 | 206 | 10958 |
Devendra Singh | 49 | 314 | 10386 |
Fatih Selimefendigil | 43 | 178 | 4522 |
Mehmet Karabacak | 40 | 111 | 3515 |
Nurullah Akkoc | 38 | 193 | 7626 |
Daiana Stolz | 38 | 239 | 7708 |
Menemşe Gümüşderelioğlu | 34 | 136 | 3328 |
Mehmet Sezer | 34 | 184 | 3543 |
Mehmet Pakdemirli | 33 | 137 | 3581 |