Title |
Network Meta‐analysis: Users’ Guide for Surgeons: Part II ‐ Certainty
|
---|---|
Published in |
Clinical Orthopaedics & Related Research, April 2015
|
DOI | 10.1007/s11999-015-4287-9 |
Pubmed ID | |
Authors |
Harman Chaudhry, Clary J. Foote, Gordon Guyatt, Lehana Thabane, Toshi A. Furukawa, Brad Petrisor, Mohit Bhandari |
Abstract |
In the previous article (Network Meta-analysis: Users' Guide for Surgeons-Part I, Credibility), we presented an approach to evaluating the credibility or methodologic rigor of network meta-analyses (NMA), an innovative approach to simultaneously addressing the relative effectiveness of three or more treatment options for a given medical condition or disease state. In the second part of the Users' Guide for Surgeons, we discuss and demonstrate the application of criteria for determining the certainty in effect sizes and directions associated with a given treatment option through an example pertinent to clinical orthopaedics. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 7 | 14% |
United States | 4 | 8% |
United Kingdom | 3 | 6% |
Germany | 2 | 4% |
Japan | 2 | 4% |
Mexico | 2 | 4% |
Italy | 1 | 2% |
Switzerland | 1 | 2% |
Finland | 1 | 2% |
Other | 7 | 14% |
Unknown | 19 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 28 | 57% |
Scientists | 11 | 22% |
Practitioners (doctors, other healthcare professionals) | 6 | 12% |
Science communicators (journalists, bloggers, editors) | 3 | 6% |
Unknown | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 1 | 3% |
Unknown | 31 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 6 | 19% |
Researcher | 6 | 19% |
Student > Ph. D. Student | 5 | 16% |
Professor > Associate Professor | 3 | 9% |
Student > Bachelor | 2 | 6% |
Other | 8 | 25% |
Unknown | 2 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 56% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Mathematics | 1 | 3% |
Other | 2 | 6% |
Unknown | 7 | 22% |