Title |
SAMURAI: Sensitivity analysis of a meta-analysis with unpublished but registered analytical investigations (software)
|
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Published in |
Systematic Reviews, March 2014
|
DOI | 10.1186/2046-4053-3-27 |
Pubmed ID | |
Authors |
Noory Y Kim, Shrikant I Bangdiwala, Kylie Thaler, Gerald Gartlehner |
Abstract |
The non-availability of clinical trial results contributes to publication bias, diminishing the validity of systematic reviews and meta-analyses. Although clinical trial registries have been established to reduce non-publication, the results from over half of all trials registered in ClinicalTrials.gov remain unpublished even 30 months after completion. Our goals were i) to utilize information available in registries (specifically, the number and sample sizes of registered unpublished studies) to gauge the sensitivity of a meta-analysis estimate of the effect size and its confidence interval to the non-publication of studies and ii) to develop user-friendly open-source software to perform this quantitative sensitivity analysis. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 20% |
France | 1 | 20% |
Brazil | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 80% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Egypt | 1 | 3% |
Unknown | 29 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 10 | 33% |
Student > Bachelor | 7 | 23% |
Student > Ph. D. Student | 4 | 13% |
Student > Postgraduate | 2 | 7% |
Student > Master | 2 | 7% |
Other | 4 | 13% |
Unknown | 1 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 47% |
Agricultural and Biological Sciences | 3 | 10% |
Sports and Recreations | 2 | 7% |
Mathematics | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Other | 4 | 13% |
Unknown | 5 | 17% |