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.
X Demographics
Mendeley readers
| Title |
Assessment of blinding to treatment allocation in studies of a cannabis-based medicine (Sativex®) in people with multiple sclerosis: a new approach
|
|---|---|
| Published in |
Trials, October 2012
|
| DOI | 10.1186/1745-6215-13-189 |
| Pubmed ID | |
| Authors |
Stephen Wright, Paul Duncombe, Douglas G Altman |
| Abstract |
Maintenance of the blind-to-treatment allocation is one of the most important means of avoiding bias in randomised controlled clinical trials. Commonly used methodologies to determine whether patients have become unblinded to treatment allocation are imperfect. This may be of particular concern in studies where outcomes are patient-reported, and with products which have a characteristic adverse event profile. We report the results of an evidence-based statistical approach to exploring the possible impact of unblinding to a cannabis-based medicine (Sativex®) in people with muscle spasticity due to multiple sclerosis. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 122 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 14% |
| Student > Bachelor | 17 | 14% |
| Student > Ph. D. Student | 16 | 13% |
| Student > Master | 13 | 10% |
| Student > Postgraduate | 10 | 8% |
| Other | 27 | 22% |
| Unknown | 24 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 29% |
| Agricultural and Biological Sciences | 12 | 10% |
| Psychology | 11 | 9% |
| Nursing and Health Professions | 8 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 6% |
| Other | 23 | 18% |
| Unknown | 28 | 22% |