index {tracenma} | R Documentation |
Dataset catalogue
Description
A database with 217 systematic reviews with network meta-analysis (NMA) published from 2004 to April 14, 2015. The collected systematic reviews were retrieved from the archived R package nmadb and pertain to those with available data in that package.
Usage
data(index)
Format
A data-frame with 217 rows and 10 columns referring to the analysed systematic reviews with NMA and their characteristics, respectively.
Details
The characteristics of the systematic reviews comprise:
nmadb.ID | The ID number as provided in the archived R package nmadb. |
PMID | The PMID number. |
First.Author | The name of the first author. |
Year | The year of publication. |
Journal.Name | The abbreviated name of the journal. |
Title | The title of the systematic review. |
Outcome.Type | The outcome type as suggested by Turner et al. (2012) and distinguished into objective, semi-objective and subjective. |
Intervention.Comparison.Type | The treatment-comparator type as suggested by Turner et al. (2012) and distinguished into pharmacological versus placebo, pharmacological versus pharmacological, and non-pharmacological versus any. |
Includes.ToC.where | Whether the extracted study-level aggregate characteristics were found in the main article, Appendix or both. |
Source.ToC | The exact location in the systematic review where the extracted study-level aggregate characteristics were found, such as Table X in the main article, and/ or Appendix. |
Comment | Notes related to the extraction for the selected systematic review(s). |
Except for PMID, Includes.ToC.where, Source.ToC, and Comment, all other characteristics were retrieved from the archived R package nmadb. The database was reduced further during extraction, for instance, due to the limited reporting quality and data of the systematic review relating to the extraction process.
Source
Papakonstantinou T. nmadb: Network Meta-Analysis Database API. R package version 1.2.0. 2019. <https://CRAN.R-project.org/package=nmadb> (archived).
Turner RM, Davey J, Clarke MJ, Thompson SG, Higgins JP. Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews. Int J Epidemiol 2012;41(3):818–27. doi: 10.1093/ije/dys041.