↓ Skip to main content

Bortezomib in late antibody-mediated kidney transplant rejection (BORTEJECT Study): study protocol for a randomized controlled trial

Overview of attention for article published in Trials, April 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
81 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Bortezomib in late antibody-mediated kidney transplant rejection (BORTEJECT Study): study protocol for a randomized controlled trial
Published in
Trials, April 2014
DOI 10.1186/1745-6215-15-107
Pubmed ID
Authors

Farsad Eskandary, Gregor Bond, Elisabeth Schwaiger, Zeljko Kikic, Christine Winzer, Markus Wahrmann, Lena Marinova, Helmuth Haslacher, Heinz Regele, Rainer Oberbauer, Georg A Böhmig

Abstract

Despite major advances in transplant medicine, improvements in long-term kidney allograft survival have not been commensurate with those observed shortly after transplantation. The formation of donor-specific antibodies (DSA) and ongoing antibody-mediated rejection (AMR) processes may critically contribute to late graft loss. However, appropriate treatment for late AMR has not yet been defined. There is accumulating evidence that the proteasome inhibitor bortezomib may substantially affect the function and integrity of alloantibody-secreting plasma cells. The impact of this agent on the course of late AMR has not so far been systematically investigated.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Denmark 1 1%
Germany 1 1%
Unknown 78 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 15%
Student > Master 10 12%
Student > Bachelor 10 12%
Student > Ph. D. Student 7 9%
Student > Postgraduate 6 7%
Other 16 20%
Unknown 20 25%
Readers by discipline Count As %
Medicine and Dentistry 39 48%
Nursing and Health Professions 4 5%
Economics, Econometrics and Finance 3 4%
Immunology and Microbiology 3 4%
Agricultural and Biological Sciences 2 2%
Other 7 9%
Unknown 23 28%