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.
Mendeley readers
| Title |
Relative efficacy of topical non-steroidal anti-inflammatory drugs and topical capsaicin in osteoarthritis: protocol for an individual patient data meta-analysis
|
|---|---|
| Published in |
Systematic Reviews, September 2016
|
| DOI | 10.1186/s13643-016-0348-8 |
| Pubmed ID | |
| Authors |
Monica S. M. Persson, Yu Fu, Archan Bhattacharya, Siew-Li Goh, Marienke van Middelkoop, Sita M. A. Bierma-Zeinstra, David Walsh, Michael Doherty, Weiya Zhang |
| Abstract |
Pain is the most troubling issue to patients with osteoarthritis (OA), yet current pharmacological treatments offer only small-to-moderate pain reduction. Current guidelines therefore emphasise the need to identify predictors of treatment response. In line with these recommendations, an individual patient data (IPD) meta-analysis will be conducted. The study aims to investigate the relative treatment effects of topical non-steroidal anti-inflammatory drugs (NSAIDs) and topical capsaicin in OA and to identify patient-level predictors of treatment response. IPD will be collected from randomised controlled trials (RCTs) of topical NSAIDs and capsaicin in OA. Multilevel regression modelling will be conducted to determine predictors for the specific and the overall treatment effect. Through the identification of treatment responders, this IPD meta-analysis may improve the current understanding of the pain mechanisms in OA and guide clinical decision-making. Identifying and prescribing the treatment most likely to be beneficial for an individual with OA will improve the efficiency of patient management. CRD42016035254. |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Unknown | 45 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 24% |
| Researcher | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 13 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 13% |
| Nursing and Health Professions | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 15 | 33% |