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This package provides functions for mass-downloading and interpreting historical clinical trial registry entry data.
To install the stable version of cthist through
CRAN:
install.packages("cthist")
library(cthist)If you want the most recent development version of
cthist, you will need to install devtools
first, and then install via git:
install.packages("devtools")
library(devtools)
install_github("bgcarlisle/cthist")
library(cthist)cthistThis package provides 5 functions for downloading and interpreting historical clinical trial data from ClinicalTrials.gov
## Get all the dates and status updates when the registry entry for
## NCT02110043 changed
clinicaltrials_gov_dates(c("NCT02110043", "NCT03281616"))
## A tibble: 10 × 5
## nctid version_number total_versions version_date overall_status
## <chr> <int> <int> <chr> <chr>
## 1 NCT02110043 0 8 2014-04-08 RECRUITING
## 2 NCT02110043 1 8 2014-09-22 RECRUITING
## 3 NCT02110043 2 8 2014-10-13 RECRUITING
## 4 NCT02110043 3 8 2016-03-15 RECRUITING
## 5 NCT02110043 4 8 2016-12-20 RECRUITING
## 6 NCT02110043 5 8 2017-07-04 RECRUITING
## 7 NCT02110043 6 8 2017-07-26 ACTIVE_NOT_RECRUITING
## 8 NCT02110043 7 8 2021-05-20 COMPLETED
## 9 NCT03281616 0 2 2017-09-11 COMPLETED
## 10 NCT03281616 1 2 2017-09-18 COMPLETED
## Get all the dates when NCT02110043 had a change in overall status
clinicaltrials_gov_dates("NCT02110043", status_change_only=TRUE)
## A tibble: 3 × 5
## nctid version_number total_versions version_date overall_status
## <chr> <int> <int> <chr> <chr>
## 1 NCT02110043 0 8 2014-04-08 RECRUITING
## 2 NCT02110043 6 8 2017-07-26 ACTIVE_NOT_RECRUITING
## 3 NCT02110043 7 8 2021-05-20 COMPLETED ## Get the 4th version of NCT02110043
version_data <- clinicaltrials_gov_version("NCT02110043", 4)
## Get the 2nd item (enrolment) for that version
version_data$enrol
## [1] 22
## Get the 3rd item (enrolment type) for that version
version_data$enroltype
## [1] "ESTIMATED"## Download all data for all versions of NCT02110043 and store in
## variable `versions`
versions <- clinicaltrials_gov_download("NCT02110043")Mass-download clinical trial registry entry versions for many trials and save to disk:
## Download all data for all versions of NCT02110043 and NCT03281616
## and save to versions.csv
clinicaltrials_gov_download(c("NCT02110043", "NCT03281616"), "versions.csv")The function clinicaltrials_gov_download downloads a
data frame of versions of a trial’s history, with the
references column containing a nested JSON-encoded data
frame of the publications that were indexed by ClinicalTrials.gov.
The function extract_publications interprets a data
frame of the type returned by clinicaltrials_gov_download
and returns a new data frame that contains only publications of the type
specified (“RESULT”, “BACKGROUND”, or “DERIVED”).
This function will provide one row for every publication of the type specified that was indexed on ClinicalTrials.gov for every version of the trial registry record contained on the data frame provided.
## Download only the latest clinical trial registry entries for the
## specified NCT numbers and extract PMID's for indexed RESULT
## publications
clinicaltrials_gov_download(
c("NCT05784103", "NCT05780281"),
latest=TRUE
) %>%
extract_publications(type="RESULT") %>%
select(nctid, pmid)
# A tibble: 2 × 2
nctid pmid
<chr> <chr>
1 NCT05784103 28183823
2 NCT05780281 34928698The function clinicaltrials_gov_download downloads a
data frame of versions of a trial’s history, with the
overall_status column indicating the status of the trial on
the date the entry is updated, which is specified in the
version_date column.
The function overall_status_lengths interprets a data
frame of the type returned by clinicaltrials_gov_download
and returns a new data frame that contains a list of the NCT numbers and
all the overall statuses that the trial in question passed through, and
for how many days, optionally, within a specified timeframe.
## Download the clinical trial registry entries for the specified NCT
## number(s) and calculate the number of days that each registry entry
## spends in a reported overall status within a prescribed time
## interval of interest (in this case, the years 2020-2022, inclusive)
clinicaltrials_gov_download(
c("NCT04338971", "NCT03461211")
) %>%
overall_status_lengths(
start_date = "2020-01-01",
end_date = "2022-12-31"
)
# A tibble: 5 × 3
# Groups: nctid [2]
nctid overall_status days
<chr> <chr> <drtn>
1 NCT03461211 ACTIVE_NOT_RECRUITING 406 days
2 NCT03461211 COMPLETED 668 days
3 NCT03461211 ENROLLING_BY_INVITATION 21 days
4 NCT04338971 COMPLETED 488 days
5 NCT04338971 WITHHELD 511 days| Variable | Data type |
|---|---|
| Version number (0, 1, 2, etc.) | Double |
| Version date (ISO-8601) | Date |
| Overall status | Character |
| Start date | Date |
| Start date precision | Character |
| Primary completion date | Date |
| Primary completion date precision | Date |
| Primary completion date type | Character |
| Enrolment | Double |
| Enrolment type | Character |
| Inclusion and exclusion criteria | Character (HTML) |
| Outcome measures | JSON-encoded table |
| Overall contacts | JSON-encoded table |
| Central contacts | JSON-encoded table |
| Responsible party | JSON-encoded table |
| Lead sponsor | JSON-encoded table |
| Collaborators | JSON-encoded table |
| Locations | JSON-encoded table |
| “Why stopped?” | Character |
| Results posted | Logical |
| References | JSON-encoded table |
| Organization study ID | Character |
| Secondary IDs | JSON-encoded table |
For cthist v >= 2.0.0, the method for downloading has
been updated to reflect the new version of ClinicalTrials.gov. Because
the data on the updated website are presented differently from the way
they were scraped from the old version, there will be some changes. E.g.
the overall status field is now in all-caps.
Update as of 2022-12-11
DRKS.de has recently been updated in a manner that makes scraping data more difficult and so the functions related to DRKS.de have been deprecated, at least temporarily while I assess the changes.
Please note that this script is provided under AGPL v 3, and so you may use it for any purpose, however if you modify it, you must provide access to your modified version or you are in violation of the terms of the license.
cthist@Manual{bgcarlisle-cthist,
title = {Analysis of Clinical Trial Registry Entry Histories Using the Novel {{R}} Package cthist},
author = {Carlisle, Benjamin Gregory},
date = {2022-07-01},
journaltitle = {PLOS ONE},
shortjournal = {PLOS ONE},
volume = {17},
number = {7},
pages = {e0270909},
publisher = {{Public Library of Science}},
issn = {1932-6203},
doi = {10.1371/journal.pone.0270909},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0270909}
}Please open an issue in the issue tracker above if you find a bug, need this package to download some historical trial data that it currently does not capture, or if you would like to collaborate on a project that uses this tool.
If you used my package in your research and you found it useful, I would take it as a kindness if you cited it.
Best,
Benjamin Gregory Carlisle PhD
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.