knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
In Development
The goal of ctregistries is to facilitate the detection and analysis of clinical trial registration numbers. ctregistries is primarily a data package of regular expressions (regexes) and provides some R functions for implementing the regexes.
Regular expressions were developed for trial registration numbers (TRN) from World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) Primary Registries (https://www.who.int/ictrp/network/primary/en/) and MEDLINE Databank Sources (https://www.nlm.nih.gov/bsd/medline_databank_source.html).
Additional, non-trial databanks indexed by MEDLINE (e.g., figshare) are also included, without regexes.
You can install the development version of ctregistries from GitHub:
# install.packages("devtools") devtools::install_github("maia-sh/ctregistries")
ctregistries provides the registries
dataframe with regular expressions for each registry. The registries
dataframe is a subset of the larger databanks
dataframe which additionally includes non-trial databanks indexed by MEDLINE (e.g., figshare) without regexes. registries
is created by filtering databanks
for databank_type == "registry
.
library(ctregistries) head(registries) %>% knitr::kable() databanks$databank
ctregistries provides some functions implementing the registries
dataset to detect trial registration numbers and registries in both vectors and dataframes.
library(ctregistries) # Check whether there is a TRN has_trn(c("NCT00312962", "hello", "euctr2020-001808-42", NA)) # Extract the TRNs which_trn("NCT00312962 and euctr2020-001808-42") which_trns(c("NCT00312962", "hello", "euctr2020-001808-42", NA)) # Identify the registry which_registry("NCT00312962 and euctr2020-001808-42") which_registries(c("NCT00312962", "hello", "euctr2020-001808-42", NA)) # Add the trn and registry to a dataframe mutate_trn_registry(sample_trn_df, text)
check_registry
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