Institution
Humboldt University of Berlin
Education•Berlin, Germany•
About: Humboldt University of Berlin is a education organization based out in Berlin, Germany. It is known for research contribution in the topics: Population & Medicine. The organization has 33671 authors who have published 61781 publications receiving 1908102 citations. The organization is also known as: Humboldt-Universität zu Berlin & Universitas Humboldtiana Berolinensis.
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TL;DR: In this paper, the authors explore how ecosystem disservices have been recognized in the scientific literature and how the concept has been used in the discussion of socio-ecological systems, and they use a quantitative approach to assess geographical spread, focus and indicator choice.
309 citations
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University of Regensburg1, Goethe University Frankfurt2, University of Padua3, Ludwig Maximilian University of Munich4, Heidelberg University5, University of Jena6, University of Mainz7, University of Alberta8, Leiden University9, Sahlgrenska University Hospital10, University of Edinburgh11, Centre Hospitalier Universitaire de Nice12, University of Münster13, Université de Montréal14, University of Duisburg-Essen15, University of Tübingen16, University of Genoa17, University of Cambridge18, University of Oslo19, University of Kiel20, Karolinska University Hospital21, Helsinki University Central Hospital22, Medical University of Vienna23, Katholieke Universiteit Leuven24, Innsbruck Medical University25, Leipzig University26, University of Sydney27, Hannover Medical School28, Ghent University Hospital29, Mario Negri Institute for Pharmacological Research30, Cliniques Universitaires Saint-Luc31, Humboldt University of Berlin32
TL;DR: This trial provides the first high-level evidence base for selecting immunosuppression in LTx recipients with HCC and reveals that low-risk, rather than high- risk, patients benefited most from sirolimus; furthermore, younger recipients (age ⩽60) also benefited, as well siro Limus monotherapy patients.
Abstract: Background We investigated whether sirolimus-based immunosuppression improves outcomes in liver transplantation (LTx) candidates with hepatocellular carcinoma (HCC). Methods In a prospective-randomized open-label international trial, 525 LTx recipients with HCC initially receiving mammalian target of rapamycin inhibitor-free immunosuppression were randomized 4 to 6 weeks after transplantation into a group on mammalian target of rapamycin inhibitor-free immunosuppression (group A: 264 patients) or a group incorporating sirolimus (group B: 261). The primary endpoint was recurrence-free survival (RFS); intention-to-treat (ITT) analysis was conducted after 8 years. Overall survival (OS) was a secondary endpoint. Results Recurrence-free survival was 64.5% in group A and 70.2% in group B at study end, this difference was not significant (P = 0.28; hazard ratio [HR], 0.84; 95% confidence interval [95% CI], 0.62; 1.15). In a planned analysis of RFS rates at yearly intervals, group B showed better outcomes 3 years after transplantation (HR, 0.7; 95% CI, 0.48-1.00). Similarly, OS (P = 0.21; HR, 0.81; 95% CI, 0.58-1.13) was not statistically better in group B at study end, but yearly analyses showed improvement out to 5 years (HR, 0.7; 95% CI, 0.49-1.00). Interestingly, subgroup (Milan Criteria-based) analyses revealed that low-risk, rather than high-risk, patients benefited most from sirolimus; furthermore, younger recipients (age 60) also benefited, as well sirolimus monotherapy patients. Serious adverse event numbers were alike in groups A (860) and B (874). Conclusions Sirolimus in LTx recipients with HCC does not improve long-term RFS beyond 5 years. However, a RFS and OS benefit is evident in the first 3 to 5 years, especially in low-risk patients. This trial provides the first high-level evidence base for selecting immunosuppression in LTx recipients with HCC.
309 citations
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Humboldt University of Berlin1, University of California2, University of St Andrews3, University of Freiburg4, University of Arizona5, Harvard University6, University of Kansas7, California Academy of Sciences8, Agro ParisTech9, University of Savoy10, University of Salford11, École Polytechnique Fédérale de Lausanne12, University of Connecticut13
TL;DR: This work proposes a standard protocol for reporting SDMs, and introduces a structured format for documenting and communicating the models, ensuring transparency and reproducibility, facilitating peer review and expert evaluation of model quality, as well as meta-analyses.
Abstract: Species distribution models (SDMs) constitute the most common class of models
across ecology, evolution and conservation. The advent of ready-to-use software pack
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ages and increasing availability of digital geoinformation have considerably assisted
the application of SDMs in the past decade, greatly enabling their broader use for
informing conservation and management, and for quantifying impacts from global
change. However, models must be fit for purpose, with all important aspects of their
development and applications properly considered. Despite the widespread use of
SDMs, standardisation and documentation of modelling protocols remain limited,
which makes it hard to assess whether development steps are appropriate for end use.
To address these issues, we propose a standard protocol for reporting SDMs, with an
emphasis on describing how a study’s objective is achieved through a series of model
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ing decisions. We call this the ODMAP (Overview, Data, Model, Assessment and
Prediction) protocol, as its components reflect the main steps involved in building
SDMs and other empirically-based biodiversity models. The ODMAP protocol serves
two main purposes. First, it provides a checklist for authors, detailing key steps for model building and analyses, and thus represents a quick guide and generic workflow for modern SDMs. Second, it introduces
a structured format for documenting and communicating the models, ensuring transparency and reproducibility, facilitating
peer review and expert evaluation of model quality, as well as meta-analyses. We detail all elements of ODMAP, and explain
how it can be used for different model objectives and applications, and how it complements efforts to store associated metadata
and define modelling standards. We illustrate its utility by revisiting nine previously published case studies, and provide an
interactive web-based application to facilitate its use. We plan to advance ODMAP by encouraging its further refinement and
adoption by the scientific community.
309 citations
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308 citations
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TL;DR: In this article, the authors discuss the economic consequences of mandatory International Financial Reporting Standards (IFRS) adoption in the European Union (EU), and provide suggestions on how future research can add to our understanding of these effects.
Abstract: This paper discusses empirical evidence on the economic consequences of mandatory International Financial Reporting Standards (IFRS) adoption in the European Union (EU), and provides suggestions on how future research can add to our understanding of these effects. Based on the stated objectives of the EU's so-called ‘IAS Regulation’, we distinguish between intended and unintended consequences of mandatory IFRS adoption. Empirical research on the intended consequences generally fails to document an increase in the comparability or transparency of financial statements. In contrast, there is rich and almost unanimous evidence of positive effects on capital markets and at the macroeconomic level. We argue that certain research design issues are likely to contribute to this apparent mismatch in findings. The literature investigating unintended consequences of mandatory IFRS adoption is still in its infancy. However, extant empirical evidence and insights from non-IFRS settings suggest that mandatory IFRS adopt...
308 citations
Authors
Showing all 34115 results
Name | H-index | Papers | Citations |
---|---|---|---|
Karl J. Friston | 217 | 1267 | 217169 |
Peer Bork | 206 | 697 | 245427 |
Raymond J. Dolan | 196 | 919 | 138540 |
Stefan Schreiber | 178 | 1233 | 138528 |
Andreas Pfeiffer | 149 | 1756 | 131080 |
Thomas Hebbeker | 148 | 1984 | 114004 |
Thomas Lohse | 148 | 1237 | 101631 |
Jean Bousquet | 145 | 1288 | 96769 |
Hermann Kolanoski | 145 | 1279 | 96152 |
Josh Moss | 139 | 1019 | 89255 |
R. D. Kass | 138 | 1920 | 107907 |
W. Kozanecki | 138 | 1498 | 99758 |
U. Mallik | 137 | 1625 | 97439 |
C. Haber | 135 | 1507 | 98014 |
Christophe Royon | 134 | 1453 | 90249 |