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Autologous haematopoietic stem-cell transplantation in multiple sclerosis: benefits and risks

Overview of attention for article published in Neurological Sciences, November 2009
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Title
Autologous haematopoietic stem-cell transplantation in multiple sclerosis: benefits and risks
Published in
Neurological Sciences, November 2009
DOI 10.1007/s10072-009-0144-5
Pubmed ID
Authors

E. Capello, L. Vuolo, F. Gualandi, M. T. Van Lint, L. Roccatagliata, L. Bonzano, M. Pardini, A. Uccelli, Gianluigi Mancardi

Abstract

Autologous haematopoietic stem-cell transplantation has been evaluated over the last years as a possible new therapeutic strategy in severe forms of multiple sclerosis unresponsive to the approved therapies. Up to now, more than 400 patients have been treated and numerous are the phase I and phase II studies which addressed the feasibility of this treatment, the efficacy, side effects and transplant-related mortality. The clinical response is strongly related to the intensity of the conditioning regimen utilized as well as to the phase of the disease course in which the therapy is carried out. Rapidly evolving multiple sclerosis with a relapsing-remitting clinical course and MRI signs of activity are the cases that can take more advantage. The risk of mortality, which dropped in the last years to 2-3%, is still the main problem of this powerful therapy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
Spain 1 2%
Slovenia 1 2%
Unknown 39 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 17%
Student > Ph. D. Student 6 14%
Student > Bachelor 6 14%
Student > Master 5 12%
Other 4 10%
Other 9 21%
Unknown 5 12%
Readers by discipline Count As %
Medicine and Dentistry 12 29%
Agricultural and Biological Sciences 7 17%
Neuroscience 5 12%
Biochemistry, Genetics and Molecular Biology 3 7%
Engineering 3 7%
Other 6 14%
Unknown 6 14%