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

Low-cost outpatient chemotherapy regimen of cisplatin, 5-fluorouracil and leucovorin for advanced head and neck and esophageal carcinomas

CONTEXT AND OBJECTIVE: Patients with advanced head and neck (H/N) and esophageal squamous cell carcinoma (SCC) often have a poor performance status and a dire prognosis. Our aim was to evaluate the feasibility, activity and quality of life (QOL) of an outpatient chemotherapy regimen consisting of cisplatin, 5-fluorouracil and leucovorin (CFL). DESIGN AND SETTING: Prospective phase II study conducted at a Brazilian public institution. METHODS: Fifteen patients with residual, recurrent or metastatic SCC of the H/N or esophagus received bolus infusions of leucovorin 20 mg/m²/day and 5-fluorouracil 370 mg/m²/day on days 1-4, and 90 minutes of infusion of cisplatin 25 mg/m²/day on days 1-3, every 21 to 28 days, depending on hematological recovery. We also evaluated QOL by applying the European Organization for Research and Treatment of Cancer Quality of Life-C30 questionnaire (EORTC QLQ-C30) before each cycle. RESULTS: The overall response rate was 36%, and the mean overall survival and progression-free survival were six and three months, respectively. We observed grade 3 or higher hematological toxicity in seven patients and one patient had grade 3 nausea and vomiting. One patient died because of neutropenic fever. Seven out of the 12 patients who could be evaluated regarding QOL presented an improvement in their overall health status and functional QOL scores over the course of the treatment. CONCLUSIONS: CFL is an active outpatient protocol with tolerable toxicity and a favorable QOL impact. Larger studies are warranted, in order to confirm these results