Institution
University Medical Center Groningen
Healthcare•Groningen, Groningen, Netherlands•
About: University Medical Center Groningen is a healthcare organization based out in Groningen, Groningen, Netherlands. It is known for research contribution in the topics: Population & Medicine. The organization has 12946 authors who have published 30386 publications receiving 967030 citations. The organization is also known as: Groningen University Hospital & UMCG.
Papers published on a yearly basis
Papers
More filters
••
Technical University of Madrid1, Stanford University2, Elsevier3, VU University Amsterdam4, National Institutes of Health5, University of Leicester6, Harvard University7, Beijing Genomics Institute8, Maastricht University9, Wageningen University and Research Centre10, University of Oxford11, Heriot-Watt University12, University of Manchester13, University of California, San Diego14, Leiden University Medical Center15, Leiden University16, Federal University of São Paulo17, Science for Life Laboratory18, Bayer19, Swiss Institute of Bioinformatics20, Cray21, University Medical Center Groningen22, Erasmus University Rotterdam23
TL;DR: The FAIR Data Principles as mentioned in this paper are a set of data reuse principles that focus on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.
Abstract: There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
7,602 citations
••
Christina Fitzmaurice1, Christina Fitzmaurice2, Christina Fitzmaurice3, Tomi Akinyemiju4 +177 more•Institutions (102)
TL;DR: In this paper, the authors assess the burden of 29 cancer groups over time to provide a framework for policy discussion, resource allocation, and research focus, and evaluate cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs) for 195 countries and territories by age and sex using the Global Burden of Disease study estimation methods.
Abstract: Importance The increasing burden due to cancer and other noncommunicable diseases poses a threat to human development, which has resulted in global political commitments reflected in the Sustainable Development Goals as well as the World Health Organization (WHO) Global Action Plan on Non-Communicable Diseases. To determine if these commitments have resulted in improved cancer control, quantitative assessments of the cancer burden are required. Objective To assess the burden for 29 cancer groups over time to provide a framework for policy discussion, resource allocation, and research focus. Evidence Review Cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs) were evaluated for 195 countries and territories by age and sex using the Global Burden of Disease study estimation methods. Levels and trends were analyzed over time, as well as by the Sociodemographic Index (SDI). Changes in incident cases were categorized by changes due to epidemiological vs demographic transition. Findings In 2016, there were 17.2 million cancer cases worldwide and 8.9 million deaths. Cancer cases increased by 28% between 2006 and 2016. The smallest increase was seen in high SDI countries. Globally, population aging contributed 17%; population growth, 12%; and changes in age-specific rates, −1% to this change. The most common incident cancer globally for men was prostate cancer (1.4 million cases). The leading cause of cancer deaths and DALYs was tracheal, bronchus, and lung cancer (1.2 million deaths and 25.4 million DALYs). For women, the most common incident cancer and the leading cause of cancer deaths and DALYs was breast cancer (1.7 million incident cases, 535 000 deaths, and 14.9 million DALYs). In 2016, cancer caused 213.2 million DALYs globally for both sexes combined. Between 2006 and 2016, the average annual age-standardized incidence rates for all cancers combined increased in 130 of 195 countries or territories, and the average annual age-standardized death rates decreased within that timeframe in 143 of 195 countries or territories. Conclusions and Relevance Large disparities exist between countries in cancer incidence, deaths, and associated disability. Scaling up cancer prevention and ensuring universal access to cancer care are required for health equity and to fulfill the global commitments for noncommunicable disease and cancer control.
4,621 citations
••
Leipzig University1, University of Belgrade2, Leiden University3, Uppsala University4, University of Modena and Reggio Emilia5, University of Barcelona6, Carol Davila University of Medicine and Pharmacy7, National and Kapodistrian University of Athens8, François Rabelais University9, University of Melbourne10, Royal Melbourne Hospital11, University of Lisbon12, University of Birmingham13, University of Groningen14, University Medical Center Groningen15, University of Central Lancashire16
TL;DR: The content of these European Society of Cardiology (ESC) Guidelines has been published for personal and educational use only and no commercial use is authorized.
Abstract: Supplementary Table 9, column 'Edoxaban', row 'eGFR category', '95 mL/min' (page 15). The cell should be coloured green instead of yellow. It should also read "60 mg"instead of "60 mg (use with caution in 'supranormal' renal function)."In the above-indicated cell, a footnote has also been added to state: "Edoxaban should be used in patients with high creatinine clearance only after a careful evaluation of the individual thromboembolic and bleeding risk."Supplementary Table 9, column 'Edoxaban', row 'Dose reduction in selected patients' (page 16). The cell should read "Edoxaban 60 mg reduced to 30 mg once daily if any of the following: creatinine clearance 15-50 mL/min, body weight <60 kg, concomitant use of dronedarone, erythromycin, ciclosporine or ketokonazole"instead of "Edoxaban 60 mg reduced to 30 mg once daily, and edoxaban 30 mg reduced to 15mg once daily, if any of the following: creatinine clearance of 30-50 mL/min, body weight <60 kg, concomitant us of verapamil or quinidine or dronedarone."
4,285 citations
••
TL;DR: This review summarizes the role of SCFAs in host energy metabolism, starting from the production by the gut microbiota to the uptake by the host and ending with the effects on host metabolism.
3,040 citations
••
Clinical Trial Service Unit1, University College London2, North Bristol NHS Trust3, University of Würzburg4, The George Institute for Global Health5, Children's Hospital at Westmead6, Peking Union Medical College7, Sultanah Aminah Hospital8, University of British Columbia9, National Institutes of Health10, Brigham and Women's Hospital11, University of Minnesota12, University of Otago13, University of Picardie Jules Verne14, University of Copenhagen15, Chiang Mai University16, Oslo University Hospital17, Charles University in Prague18, Medical University of Silesia19, Utrecht University20, University Medical Center Groningen21, University of Helsinki22, John Radcliffe Hospital23
TL;DR: Reduction of LDL cholesterol with simvastatin 20 mg plus ezetimibe 10 mg daily safely reduced the incidence of major atherosclerotic events in a wide range of patients with advanced chronic kidney disease.
2,123 citations
Authors
Showing all 13202 results
Name | H-index | Papers | Citations |
---|---|---|---|
Cornelia M. van Duijn | 183 | 1030 | 146009 |
John J.V. McMurray | 178 | 1389 | 184502 |
Dorret I. Boomsma | 176 | 1507 | 136353 |
Brenda W.J.H. Penninx | 170 | 1139 | 119082 |
John G.F. Cleland | 137 | 1172 | 110227 |
Cisca Wijmenga | 136 | 668 | 86572 |
Christopher M. O'Connor | 134 | 894 | 70357 |
Mihai Gheorghiade | 130 | 718 | 68095 |
Johan Ormel | 127 | 593 | 63778 |
Carlos A. Camargo | 125 | 1283 | 69143 |
Dirk J. van Veldhuisen | 125 | 849 | 64284 |
Bart W. Koes | 124 | 730 | 57630 |
Dirkje S. Postma | 123 | 884 | 59626 |
Piotr Ponikowski | 120 | 762 | 131682 |
Mark J. Caulfield | 113 | 362 | 95358 |