| tracenma-package {tracenma} | R Documentation |
tracenma: Database for Developing Transitivity Methodology in Network Meta-Analysis
Description
A database with extracted study-level aggregate characteristics (that may act as effect modifiers) from 217 systematic reviews with network meta-analysis and a set of functions to facilitate access. The database is aimed at methodology development and appraisal to assess transitivity assumption quantitatively.
Details
R-package tracenma is built upon the R-package nmadb (version 1.2.0) by using the provided database to define the set of connected networks and extract available study-level aggregate clinical and methodological characteristics (that may act as effect modifiers) from the corresponding systematic reviews. The database of tracenma currently includes a subset of the systematic reviews available in nmadb; the included systematic reviews were published between 2004 and 2015 and had available data characteristics for extraction.
tracenma comprises functions to access the catalogue with the available systematic reviews with network meta-analysis and datasets with the extracted characteristics.
tracenma should only be used for the purpose of developing and appraising methodology to assess the transitivity assumption quantitatively. tracenma should not be used in the context of an empirical-like study, for instance, to map the characteristics reported in specific healthcare fields, as the content and completeness of the extracted characteristics in tracenma strongly depend on the reporting quality and completeness of the considered systematic reviews, as well as the knowledge of the involved authors regarding the investigated research field. The latter also requires that the authors of systematic reviews are familiar with the notion of effect modification. Therefore, the extracted characteristics may not comprise a complete set of the necessary effect modifiers for the various investigated research fields.
Furthermore, most of the included systematic reviews reported the characteristics inconsistently across the studies. To achieve a consistent format, we proceeded to transformations using 1) the statistical methods that Wan et al. (2014) developed and evaluated for quantitative characteristics and 2) subjective judgments for qualitative characteristics. Therefore, the accuracy of the extracted data may have been compromised to some extent.
Type citation("tracenma") on how to cite tracenma.
To report possible bugs and errors, send an email to Loukia Spineli (Spineli.Loukia@mh-hannove.de).
The development version of tracenma is available on GitHub under the GPL-3.0 License.
Author(s)
Loukia M. Spineli
References
Papakonstantinou T. nmadb: Network Meta-Analysis Database API. R package version 1.2.0. 2019. <https://CRAN.R-project.org/package=nmadb>.
Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol 2014;14:1–13. doi:10.1186/1471-2288-14-135