Systematic Reviews (Jul 2017)

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

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

DOI
https://doi.org/10.1186/s13643-017-0525-4
Journal volume & issue
Vol. 6, no. 1
pp. 1 – 5

Abstract

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Abstract Background 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. Objective 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. Methods 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. Discussion 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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