scispace - formally typeset
Search or ask a question
Institution

Humboldt University of Berlin

EducationBerlin, 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.


Papers
More filters
Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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 - 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 - 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

Journal ArticleDOI
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

NameH-indexPapersCitations
Karl J. Friston2171267217169
Peer Bork206697245427
Raymond J. Dolan196919138540
Stefan Schreiber1781233138528
Andreas Pfeiffer1491756131080
Thomas Hebbeker1481984114004
Thomas Lohse1481237101631
Jean Bousquet145128896769
Hermann Kolanoski145127996152
Josh Moss139101989255
R. D. Kass1381920107907
W. Kozanecki138149899758
U. Mallik137162597439
C. Haber135150798014
Christophe Royon134145390249
Network Information
Related Institutions (5)
Ludwig Maximilian University of Munich
161.5K papers, 5.7M citations

96% related

Heidelberg University
119.1K papers, 4.6M citations

94% related

Technische Universität München
123.4K papers, 4M citations

94% related

Radboud University Nijmegen
83K papers, 3.2M citations

93% related

University of Zurich
124K papers, 5.3M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023208
2022747
20214,727
20204,083
20193,579
20183,143