↓ Skip to main content

Issues in applying multi-arm multi-stage methodology to a clinical trial in prostate cancer: the MRC STAMPEDE trial

Overview of attention for article published in Trials, June 2009
Altmetric Badge

Mentioned by

twitter
28 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
131 Dimensions

Readers on

mendeley
154 Mendeley
citeulike
1 CiteULike
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
Issues in applying multi-arm multi-stage methodology to a clinical trial in prostate cancer: the MRC STAMPEDE trial
Published in
Trials, June 2009
DOI 10.1186/1745-6215-10-39
Pubmed ID
Authors

Matthew R Sydes, Mahesh KB Parmar, Nicholas D James, Noel W Clarke, David P Dearnaley, Malcolm D Mason, Rachel C Morgan, Karen Sanders, Patrick Royston

Abstract

The multi-arm multi-stage (MAMS) trial is a new paradigm for conducting randomised controlled trials that allows the simultaneous assessment of a number of research treatments against a single control arm. MAMS trials provide earlier answers and are potentially more cost-effective than a series of traditionally designed trials. Prostate cancer is the most common tumour in men and there is a need to improve outcomes for men with hormone-sensitive, advanced disease as quickly as possible. The MAMS design will potentially facilitate evaluation and testing of new therapies in this and other diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 X users 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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
China 1 <1%
Vietnam 1 <1%
Unknown 150 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 24%
Student > Master 19 12%
Student > Ph. D. Student 18 12%
Other 11 7%
Professor 10 6%
Other 28 18%
Unknown 31 20%
Readers by discipline Count As %
Medicine and Dentistry 61 40%
Mathematics 10 6%
Psychology 6 4%
Biochemistry, Genetics and Molecular Biology 5 3%
Agricultural and Biological Sciences 4 3%
Other 22 14%
Unknown 46 30%