This study introduces a comprehensive method for quantifying mass mortality events in freshwater wildlife, exemplified by the ecological disaster in the Odra River in 2022. Our approach integrates field observations, statistical analysis, and ecological assessment to measure the impact of such events on various aquatic species. Key steps include systematic counting of deceased organisms, assessing population declines, and evaluating the ecological repercussions of invasive species. Utilizing the R programming language, we developed a framework that is adaptable to similar ecological crises in different aquatic environments. This methodology facilitates a detailed understanding of the scale and implications of mass mortality events, thereby contributing to effective environmental management and conservation efforts. •The analysis and modeling methods of the disaster are presented in the R programming language.•Exclusively open-source software was used for the analysis.•The analysis includes detailed data on the disaster's impact on various species.
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http://dx.doi.org/10.1016/j.mex.2024.102567 | DOI Listing |
Cancer Lett
January 2025
Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University, Beijing 100044, China; Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China. Electronic address:
This study updates the disease burden of multiple myeloma (MM) in thirty-three provincial administrative units in China from 1990 to 2021 and forecast the disease burden for 2050. Data from the 2021 Global Burden of Disease (GBD) database was used for analysis. In 2021, there were an estimated 17,250 new MM cases and 12,984 deaths in China.
View Article and Find Full Text PDFEur J Cancer
December 2024
Institute for Diagnostic Accuracy, Groningen, the Netherlands; Faculty of Medical Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands. Electronic address:
Background: Lung cancer screening (LCS) with low-dose CT (LDCT) reduces lung-cancer-related mortality in high-risk individuals. AI can potentially reduce radiologist workload as first-read-filter by ruling-out negative cases. The feasibility of AI as first reader was evaluated in the European 4-IN-THE-LUNG-RUN (4ITLR) trial, comparing its negative-misclassifications (NMs) to those of radiologists and the impact on referral rates.
View Article and Find Full Text PDFJ Dent Res
January 2025
Oral and Maxillofacial Diseases, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Missing teeth have been linked to incident cardiovascular disease, diabetes, and all-cause mortality. Our previous study revealed that signs of oral infections and inflammatory conditions (i.e.
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Basic Medical Sciences, Zhejiang Chinese Medical University, No. 548 Binwen Road, Binjiang District, Hangzhou, 310053, China.
Background: Family income to poverty ratio (PIR) may have independent effects on diet and lifestyle factors and the development of prediabetes and diabetes, as well as on mortality. It is unclear how the protective effect of a healthy lifestyle against death differs between individuals with different glucose metabolic profiles and whether PIR mediates this effect. This study aimed to explore whether healthy lifestyle and family PIR reduced the risk of all-cause mortality in participants with different metabolic status and the mediating role of PIR.
View Article and Find Full Text PDFObes Surg
January 2025
H+ Yangji Hospital, Seoul, Republic of Korea.
Background: Although bariatric surgery is the most effective obesity treatment, few nationwide cohort studies have evaluated its safety. This study aimed to evaluate surgical trends after insurance coverage implementation and analyze the surgical outcomes of bariatric surgery.
Methods: A retrospective analysis of bariatric surgery in patients with obesity was conducted using data from Korean National Health Insurance System (NHIS) claims.
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