Data extraction for complex meta-analysis (DECiMAL) guide

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

doi:10.1186/s13643-016-0368-4

Data extraction for complex meta-analysis (DECiMAL) guide

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

Centre for Reviews and Dissemination

Research output: Contribution to journal › Article › peer-review

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 language	Undefined/Unknown
Journal	Systematic Reviews
Volume	5
DOIs	https://doi.org/10.1186/s13643-016-0368-4
Publication status	Published - 13 Dec 2016

Bibliographical note

Keywords

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

Access to Document

10.1186/s13643-016-0368-4Licence: CC BY

document
© The Author(s). 2016
Final published version, 384 KBLicence: CC BY

Cite this

@article{fbf0d3a582c5453e9985dfcd2d4e4cda,

title = "Data extraction for complex meta-analysis (DECiMAL) guide",

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.",

keywords = "Meta-analysis, Data, Extraction, Guide, Analysis, Review, Network, Multivariate",

author = "Hugo Pedder and Grammati Sarri and Edna Keeney and Vanessa Nunes and Sofia Dias",

note = "{\textcopyright} The Author(s). 2016",

year = "2016",

month = dec,

day = "13",

doi = "10.1186/s13643-016-0368-4",

language = "Undefined/Unknown",

volume = "5",

journal = "Systematic Reviews",

issn = "2046-4053",

publisher = "BioMed Central",

}

TY - JOUR

T1 - Data extraction for complex meta-analysis (DECiMAL) guide

AU - Pedder, Hugo

AU - Sarri, Grammati

AU - Keeney, Edna

AU - Nunes, Vanessa

AU - Dias, Sofia

PY - 2016/12/13

Y1 - 2016/12/13

N2 - 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.

AB - 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.

KW - Meta-analysis, Data, Extraction, Guide, Analysis, Review, Network, Multivariate

U2 - 10.1186/s13643-016-0368-4

DO - 10.1186/s13643-016-0368-4

M3 - Article

SN - 2046-4053

VL - 5

JO - Systematic Reviews

JF - Systematic Reviews

ER -