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Protocol for a systematic review of N-of-1 trial protocol guidelines and protocol reporting guidelines

Overview of attention for article published in Systematic Reviews, July 2017
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Title
Protocol for a systematic review of N-of-1 trial protocol guidelines and protocol reporting guidelines
Published in
Systematic Reviews, July 2017
DOI 10.1186/s13643-017-0525-4
Pubmed ID
Authors

Antony J. Porcino, Salima Punja, An-Wen Chan, Richard Kravitz, Aaron Orkin, Philippe Ravaud, Christopher H. Schmid, Sunita Vohra

Abstract

N-of-1 trials are multiple cross-over trials done in individual participants, generating individual treatment effect information. While reporting guidelines for the CONSORT Extension for N-of-1 trials (CENT) and the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) already exist, there is no standardized recommendation for the reporting of N-of-1 trial protocols. The objective of this study is to evaluate current literature on N-of-1 design and reporting to identify key elements of rigorous N-of-1 protocol design. We will conduct a systematic search for all N-of-1 trial guidelines and protocol-reporting guidelines published in peer-reviewed literature. We will search Medline, Embase, PsycINFO, CINAHL, the Cochrane Methodology Register, CENTRAL, and the NHS Economic Evaluation Database. Eligible articles will contain explicit guidance on N-of-1 protocol construction or reporting. Two reviewers will independently screen all titles and abstracts and then undertake full-text reviews of potential articles to determine eligibility. One reviewer will perform data extraction of selected articles, checked by the second reviewer. Data analysis will ascertain common features of N-of-1 trial protocols and compare them to the SPIRIT and CENT items. This systematic review assesses recommendations on the design and reporting of N-of-1 trial protocols. These findings will inform an international Delphi development process for an N-of-1 trial protocol reporting guideline. The development of this guideline is critical for improving the quality of N-of-1 protocols, leading to improvements in the quality of published N-of-1 trial research.

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Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 15%
Other 5 13%
Researcher 5 13%
Student > Ph. D. Student 4 10%
Professor 3 8%
Other 9 23%
Unknown 8 20%
Readers by discipline Count As %
Medicine and Dentistry 14 35%
Neuroscience 3 8%
Nursing and Health Professions 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Business, Management and Accounting 1 3%
Other 5 13%
Unknown 12 30%