| Title |
Efficiencies of platform clinical trials: A vision of the future
|
|---|---|
| Published in |
Clinical Trials, February 2016
|
| DOI | 10.1177/1740774515626362 |
| Pubmed ID | |
| Authors | |
| Abstract |
A "platform trial" is a clinical trial with a single master protocol in which multiple treatments are evaluated simultaneously. Adaptive platform designs offer flexible features such as dropping treatments for futility, declaring one or more treatments superior, or adding new treatments to be tested during the course of a trial. A simulation study explores the efficiencies of various platform trial designs relative to a traditional two-arm strategy. Platform trials can find beneficial treatments with fewer patients, fewer patient failures, less time, and with greater probability of success than a traditional two-arm strategy. In an era of personalized medicine, platform trials provide the innovation needed to efficiently evaluate modern treatments. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 35% |
| United Kingdom | 7 | 27% |
| Australia | 2 | 8% |
| Colombia | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 6 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 50% |
| Scientists | 10 | 38% |
| Practitioners (doctors, other healthcare professionals) | 3 | 12% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 208 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 19% |
| Student > Ph. D. Student | 27 | 13% |
| Other | 18 | 9% |
| Student > Master | 15 | 7% |
| Student > Bachelor | 8 | 4% |
| Other | 32 | 15% |
| Unknown | 68 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 19% |
| Mathematics | 26 | 13% |
| Agricultural and Biological Sciences | 11 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 5% |
| Biochemistry, Genetics and Molecular Biology | 5 | 2% |
| Other | 37 | 18% |
| Unknown | 79 | 38% |