Data extraction for complex meta-analysis (DECiMAL) guide

Hugo Pedder, Grammati Sarri, Edna Keeney, Vanessa Nunes, Sofia Dias

Research output: Contribution to journalArticle (Academic Journal)peer-review

25 Citations (Scopus)
535 Downloads (Pure)

Abstract

As more complex meta-analytical techniques such as network and multivariate meta-analyses become increasingly common, further pressures are placed on reviewers to extract data in a systematic and consistent manner. Failing to do this appropriately wastes time, resources and jeopardises accuracy. This guide (data extraction for complex meta-analysis (DECiMAL)) suggests a number of points to consider when collecting data, primarily aimed at systematic reviewers preparing data for meta-analysis. Network meta-analysis (NMA), multiple outcomes analysis and analysis combining different types of data are considered in a manner that can be useful across a range of data collection programmes. The guide has been shown to be both easy to learn and useful in a small pilot study.
Original languageEnglish
Article number212
Number of pages6
JournalSystematic Reviews
Volume5
DOIs
Publication statusPublished - 13 Dec 2016

Keywords

  • Meta-analysis
  • Data
  • Extraction
  • Guide
  • Analysis
  • Review
  • Network
  • Multivariate

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