RESUMO
Background: Baricitinib, a Janus Kinase (JAK) inhibitor, has emerged as a potential therapeutic option for systemic lupus erythematosus (SLE). This systematic review aims to synthesize evidence from randomized controlled trials (RCTs) evaluating the potential of baricitinib in treating SLE. Methods: A systematic search was conducted across electronic databases to identify relevant RCTs assessing baricitinib in patients with SLE. Studies reporting outcomes such as the Systemic Lupus Erythematosus Responder Index-4 (SRI-4), adverse events, and safety profiles were included. Data extraction and quality assessment were performed following PRISMA guidelines. Results: A total of four studies were evaluated for efficacy and safety of baricitinib therapy. Three studies reported SRI-4, British Isles Lupus Assessment Group (BILAG), and Systemic Lupus Erythematosus Disease Activity Index-2000 (SLEDAI-2K), except for Dorner and colleagues Only Dorner and colleagues and Wallace and colleagues discuss the anti-dsDNA titres following treatment with baricitinib. The findings consistently demonstrated improved efficacy of baricitinib compared to placebo, particularly in terms of SRI-4 scores. Higher dosages of baricitinib showed significant improvement in disease activity and severity indices. Adverse events, including infections and gastrointestinal disturbances, were reported. Conclusion: Baricitinib holds promise for treating SLE, but caution is needed due to potential adverse events. Careful patient selection and monitoring are crucial. Future research should prioritize long-term safety and comparative effectiveness studies to better understand baricitinib's role in managing SLE.
RESUMO
BACKGROUND: Vitiligo, an autoimmune skin disorder linked to hormonal and genetic factors, results in reduced pigmentation due to a gradual decline in melanocyte activity. This systematic review delves into the role of dietary intervention and nutrition in managing vitiligo. METHODS: A comprehensive search on PubMed, Google Scholar, and European PMC identified 214 studies, with 14 meeting inclusion criteria post-screening. The selected studies primarily explored the impact of dietary supplements on disease activity. RESULTS: Heavy metal exposure, specifically Cd, Pb, and Hg, indicated potential links to heightened reactive oxygen species and vitiligo development. Conflicting evidence emerged regarding the role of trace minerals (Zn and Cu), with some studies suggesting deficiencies and others proposing excesses in vitiligo patients. Vitamins with anti-inflammatory properties like vitamin C, D, and B12, along with antioxidants, were investigated for their potential in repigmentation strategies. Additionally, polyunsaturated fatty acids (PUFAs), especially in varying types of fat consumption, were implicated. Emphasizing the need to reduce reliance on pharmacological and phototherapy interventions, the review uncovers novel roles for dietary supplements as adjuncts or flare reducers. CONCLUSION: While dietary interventions cannot be thought of as a standalone therapy, they still make a case for being used as adjuncts. Large scale clinical trials are warranted to establish strong evidence and protocols, and might also help reduce the dependency on pharmacological methods, which come with their adverse effect profiles.
Assuntos
Suplementos Nutricionais , Vitiligo , Humanos , Vitiligo/terapia , Vitiligo/dietoterapia , Dieta/efeitos adversos , Antioxidantes/administração & dosagem , Vitaminas/administração & dosagem , Estado Nutricional , Pigmentação da Pele , Oligoelementos/administração & dosagem , Ácidos Graxos Insaturados/administração & dosagemRESUMO
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems, providing assistance in a variety of patient care and health systems. The aim of this review is to contribute valuable insights to the ongoing discourse on the transformative potential of AI in healthcare, providing a nuanced understanding of its current applications, future possibilities, and associated challenges. The authors conducted a literature search on the current role of AI in disease diagnosis and its possible future applications using PubMed, Google Scholar, and ResearchGate within 10 years. Our investigation revealed that AI, encompassing machine-learning and deep-learning techniques, has become integral to healthcare, facilitating immediate access to evidence-based guidelines, the latest medical literature, and tools for generating differential diagnoses. However, our research also acknowledges the limitations of current AI methodologies in disease diagnosis and explores uncertainties and obstacles associated with the complete integration of AI into clinical practice. This review has highlighted the critical significance of integrating AI into the medical healthcare framework and meticulously examined the evolutionary trajectory of healthcare-oriented AI from its inception, delving into the current state of development and projecting the extent of reliance on AI in the future. The authors have found that central to this study is the exploration of how the strategic integration of AI can accelerate the diagnostic process, heighten diagnostic accuracy, and enhance overall operational efficiency, concurrently relieving the burdens faced by healthcare practitioners.