Title |
Approaches to interpreting and choosing the best treatments in network meta-analyses
|
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Published in |
Systematic Reviews, April 2017
|
DOI | 10.1186/s13643-017-0473-z |
Pubmed ID | |
Authors |
L. Mbuagbaw, B. Rochwerg, R. Jaeschke, D. Heels-Andsell, W. Alhazzani, L. Thabane, Gordon H. Guyatt |
Abstract |
When randomized trials have addressed multiple interventions for the same health problem, network meta-analyses (NMAs) permit researchers to statistically pool data from individual studies including evidence from both direct and indirect comparisons. Grasping the significance of the results of NMAs may be very challenging. Authors may present the findings from such analyses in several numerical and graphical ways. In this paper, we discuss ranking strategies and visual depictions of rank, including the surface under the cumulative ranking (SUCRA) curve method. We present ranking approaches' merits and limitations and provide an example of how to apply the results of a NMA to clinical practice. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 13 | 27% |
United Kingdom | 5 | 10% |
Germany | 2 | 4% |
United States | 2 | 4% |
Saudi Arabia | 2 | 4% |
Netherlands | 1 | 2% |
France | 1 | 2% |
Switzerland | 1 | 2% |
Chile | 1 | 2% |
Other | 4 | 8% |
Unknown | 17 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 23 | 47% |
Scientists | 17 | 35% |
Practitioners (doctors, other healthcare professionals) | 8 | 16% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 197 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 26 | 13% |
Other | 20 | 10% |
Student > Master | 20 | 10% |
Student > Bachelor | 18 | 9% |
Student > Ph. D. Student | 14 | 7% |
Other | 38 | 19% |
Unknown | 61 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 63 | 32% |
Pharmacology, Toxicology and Pharmaceutical Science | 9 | 5% |
Nursing and Health Professions | 8 | 4% |
Psychology | 8 | 4% |
Biochemistry, Genetics and Molecular Biology | 6 | 3% |
Other | 19 | 10% |
Unknown | 84 | 43% |