f.trialPopulation: Calculate in- and exclusion criteria and age groups

In ctrdata: Retrieve and Analyze Clinical Trials Data from Public Registers

Calculate in- and exclusion criteria and age groups

Description

Trial concept calculated: inclusion and exclusion criteria as well as age groups that can participate in a trial, based on protocol-related information. Since CTGOV uses single text field for eligibility criteria, text extraction is used to separate in- and exclusion criteria. (See dfMergeVariablesRelevel with an example for healthy volunteers.)

Usage

f.trialPopulation(df = NULL)

Arguments

df	data frame such as from dbGetFieldsIntoDf. If 'NULL', prints fields needed in 'df' for calculating this trial concept, which can be used with dbGetFieldsIntoDf.

Value

data frame with columns '_id' and new columns: '.trialPopulationAgeGroup' (factor, "P", "A", "P+A", "E", "A+E", "P+A+E"), '.trialPopulationInclusion' (string), '.trialPopulationExclusion' (string).

Examples

# fields needed
f.trialPopulation()

# apply trial concept when creating data frame
dbc <- nodbi::src_sqlite(
  dbname = system.file("extdata", "demo.sqlite", package = "ctrdata"),
  collection = "my_trials", flags = RSQLite::SQLITE_RO)
trialsDf <- dbGetFieldsIntoDf(
  calculate = "f.trialPopulation",
  con = dbc)
trialsDf

ctrdata documentation built on April 15, 2025, 1:34 a.m.