CIRURGIA BARIÁTRICA: INDICAÇÕES E TÉCNICAS CIRÚRGICAS

Obesity is a complex global health issue that demands an integrated approach. Understanding its epidemiology, risk factors, progression, early diagnosis, and social and economic implications is crucial to addressing this growing challenge. Bariatric surgery in the adult population is a dynamic and intricate field where techniques, indications, contraindications, complications, and historical evolution intricately intertwine. The examined literature reveals a continuous need for personalized and multidisciplinary approaches, considering not only the physical but also the psychological and social aspects of patients undergoing this intervention. Surgical techniques in addressing obesity have specificities that should be carefully evaluated by healthcare professionals. The reviewed literature provides valuable insights to support clinical decisions, highlighting the benefits and specific considerations associated with adjustable gastric banding, vertical gastrectomy, and gastric bypass. The significance of the multidisciplinary team in bariatric surgery lies in the comprehensive approach to the patient, addressing various medical, nutritional, psychological, and social aspects involved. This collaborative approach is essential to ensure successful outcomes, patient satisfaction, and the prevention of short- and long-term complications.A obesidade é um problema de saúde global complexo que exige uma abordagem integrada. A compreensão de sua epidemiologia, fatores de risco, evolução, diagnóstico precoce e implicações sociais e econômicas é crucial para enfrentar esse desafio crescente. a cirurgia bariátrica na população adulta é um campo dinâmico e complexo, onde as técnicas, indicações, contraindicações, complicações e a evolução histórica se entrelaçam de maneira intrincada. A literatura examinada revela a necessidade contínua de abordagens personalizadas e multidisciplinares, considerando não apenas os aspectos físicos, mas também os psicológicos e sociais dos pacientes submetidos a essa intervenção. as técnicas cirúrgicas na abordagem da obesidade apresentam particularidades que devem ser cuidadosamente avaliadas pelos profissionais de saúde. A literatura revisada fornece subsídios valiosos para embasar decisões clínicas, evidenciando os benefícios e as considerações específicas associadas à banda gástrica ajustável, à gastrectomia vertical e ao bypass gástrico. A importância da equipe multidisciplinar na cirurgia bariátrica reside na abordagem integral do paciente, contemplando os diversos aspectos médicos, nutricionais, psicológicos e sociais envolvidos. Essa abordagem colaborativa é essencial para garantir resultados bem-sucedidos, a satisfação do paciente e a prevenção de complicações a curto e longo prazo

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost