Publications by authors named "S Nicolaidis"
Background: Recent studies on the risk of rheumatic disease among breast implant users have reported conflicting results. The primary objective of this study was to provide a systematic and critical review of the literature on the association between breast implants and the risk of rheumatic disease.
Methods: A qualitative systematic review was conducted in PubMed, MEDLINE, EMBASE, EBM-Reviews and CINAHL Complete from database inception to June 23rd, 2021.
The aim of this review was to identify and, particularly, to classify all the numerous environmental factors that play a significant role in the environment-dependent body weight dysregulation. The main environmental obesogenic factors are related to build environment such as city plan, transport and school, inactivity, TV and screen-related immobility, smart-phone, video games; they are followed by agroalimentary factors such as imbalanced ingredients, pollutants, speed eating, portion size, sweet drinks, nibbling and junk foods supported by publicity, sociocultural and ethnic factors beside the global environmental changes and seasonal light/dark photoperiod. Beside the analytical examination of the obesogenic factors it is mentioned the cumulative effect that tends to coexist in the same population and thus magnify their pathogenic consequences.
View Article and Find Full Text PDFArticle Synopsis
- Advances in neurosurgery are highlighted by developments in deep brain stimulation (DBS), deep brain manipulation (DBM), and the new closed-loop DBS (CLDBS) technology.
- Closed-loop technology enhances the precision of DBS and DBM by using real-time feedback from brain function data, enabling more targeted treatments.
- Potential applications for these technologies extend beyond Parkinson's disease to include various neurodegenerative disorders, psychiatric issues, and cognitive dysfunctions, ultimately improving both treatment outcomes and our understanding of brain function.
Article Synopsis
- Glioblastoma multiforme (GBM) is the most aggressive brain cancer, and while current treatments like surgery, chemotherapy, and radiotherapy are improving survival rates, the prognosis remains poor and depends on individual genetic traits.
- GBMs can be classified into four subtypes—classical, mesenchymal, proneural, and neural—based on gene expression and genetic alterations; secondary GBMs generally have a better outlook than primary ones.
- The identification of biomarkers, which can be either imaging or molecular, is crucial for understanding GBM subtypes and prognosis; advancements in genomics, proteomics, and metabolomics may enhance treatment decisions in the future.
Personalized medicine (PM) in neurosurgery is possible today thanks to newly accessible imaging technologies, and to genomic, proteomic and epigenetic biomarkers capable of providing clinically useful information about individual patients. PM is becoming increasingly indispensable in neurosurgery because this specialty offers a wide range of therapeutic options such as surgery and/or radiotherapy and/or chemotherapy. Moreover, the effectiveness of these procedures varies from one patient to another, depending inter alia on the patients' individual genomic traits.
View Article and Find Full Text PDF