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Institution

Charité

HealthcareBerlin, Germany
About: Charité is a healthcare organization based out in Berlin, Germany. It is known for research contribution in the topics: Population & Transplantation. The organization has 30624 authors who have published 64507 publications receiving 2437322 citations. The organization is also known as: Charite & Charité – University Medicine Berlin.


Papers
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Journal ArticleDOI
TL;DR: Stem cells from a donor who was homozygous for CCR5 delta32 were transplanted in a patient with acute myeloid leukemia and HIV-1 infection and the patient remained without viral rebound 20 months after transplantation and discontinuation of antiretroviral therapy.
Abstract: Infection with the human immunodeficiency virus type 1 (HIV-1) requires the presence of a CD4 receptor and a chemokine receptor, principally chemokine receptor 5 (CCR5). Homozygosity for a 32-bp deletion in the CCR5 allele provides resistance against HIV-1 acquisition. We transplanted stem cells from a donor who was homozygous for CCR5 delta32 in a patient with acute myeloid leukemia and HIV-1 infection. The patient remained without viral rebound 20 months after transplantation and discontinuation of antiretroviral therapy. This outcome demonstrates the critical role CCR5 plays in maintaining HIV-1 infection.

1,657 citations

Journal ArticleDOI
TL;DR: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) as mentioned in this paper provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution.

1,656 citations

Journal ArticleDOI
David Capper1, David Capper2, David Capper3, David T.W. Jones2  +168 moreInstitutions (54)
22 Mar 2018-Nature
TL;DR: This work presents a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and shows that the availability of this method may have a substantial impact on diagnostic precision compared to standard methods.
Abstract: Accurate pathological diagnosis is crucial for optimal management of patients with cancer. For the approximately 100 known tumour types of the central nervous system, standardization of the diagnostic process has been shown to be particularly challenging-with substantial inter-observer variability in the histopathological diagnosis of many tumour types. Here we present a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and demonstrate its application in a routine diagnostic setting. We show that the availability of this method may have a substantial impact on diagnostic precision compared to standard methods, resulting in a change of diagnosis in up to 12% of prospective cases. For broader accessibility, we have designed a free online classifier tool, the use of which does not require any additional onsite data processing. Our results provide a blueprint for the generation of machine-learning-based tumour classifiers across other cancer entities, with the potential to fundamentally transform tumour pathology.

1,620 citations

Journal ArticleDOI
TL;DR: Patterns of the epidemiological transition with a composite indicator of sociodemographic status, which was constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population, were quantified.

1,609 citations

Journal ArticleDOI
TL;DR: In this paper, the authors developed guidelines for reporting reliability and agreement studies in interrater and intra-arater reliability and agreements, and proposed 15 issues that should be addressed when reporting such studies.

1,605 citations


Authors

Showing all 30787 results

NameH-indexPapersCitations
JoAnn E. Manson2701819258509
Yi Chen2174342293080
David J. Hunter2131836207050
Raymond J. Dolan196919138540
John P. A. Ioannidis1851311193612
Stefan Schreiber1781233138528
Kenneth C. Anderson1781138126072
Eric J. Nestler178748116947
Klaus Rajewsky15450488793
Charles B. Nemeroff14997990426
Andreas Pfeiffer1491756131080
Rinaldo Bellomo1471714120052
Jean Bousquet145128896769
Christopher Hill1441562128098
Holger J. Schünemann141810113169
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202339
2022317
20214,866
20204,577
20194,042
20183,718