| get.dataset.index {tracenma} | R Documentation |
Get the index of specific dataset(s)
Description
Retrieving the characteristics of one of more systematic reviews found in the database using their PMID number or year of publication.
Usage
get.dataset.index(pmid, year = NULL, show.title = FALSE, show.comment = FALSE)
Arguments
pmid |
A scalar or vector with the PMID number(s) of the systematic reviews found in the database. |
year |
A scalar to define the year of publication.
|
show.title |
Logical to indicate whether to show the title of the
selected systematic review(s). The default is |
show.comment |
Logical to indicate whether to show the comment referring
to extraction notes about the selected systematic review(s). The default is
|
Details
When year is specified, the argument pmid should be NULL.
Then, get.dataset.index returns all systematic reviews found in the
database under this year.
Except for PMID, Includes.ToC.where, and
Source.ToC, all other characteristics were retrieved from the R
package nmadb using the
function getNMADB and subsetting to those
systematic reviews with available data
(i.e., Data.available == "True" when using the function
getNMADB). The database was reduced further
during extraction, for instance, due to the reporting issues and data
unavailability of the systematic review relating to the extraction
process.
Value
get.dataset.index returns a vector (when pmid is scalar) or a
data-frame (when pmid is a vector) with the following
characteristics (column names):
nmadb.ID |
The ID number as provided in the 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(s) in the main article, and/ or Appendix. |
Comment |
Notes related to the extraction for the selected systematic review(s). |
Author(s)
Loukia M. Spineli
References
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.
See Also
Examples
# For one systematic review with PMID number 25626481.
get.dataset.index(pmid = 25626481)
# For two systematic reviews with PMID numbers 25626481 and 15147585,
# respectively.
get.dataset.index(pmid = c(25626481, 15147585))
# For systematic reviews published during 2010.
get.dataset.index(pmid = NULL, year = 2010)