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#' @title Check for LB dates occurring after death date
#'
#' @description This check looks for LB dates that occur after death date
#'
#' @param AE Adverse Event SDTM dataset with variables USUBJID,
#' AEDTHDTC, AESTDTC, AEDECOD, and AETERM
#'
#' @param DS Disposition SDTM dataset with variables USUBJID,
#' DSSTDTC, DSDECOD, and DSTERM
#'
#' @param LB Laboratory Test Findings SDTM dataset with variables USUBJID,
#' LBDTC, LBTESTCD, and LBORRES
#'
#' @return Boolean value for whether the check passed or failed, with 'msg'
#' attribute if the check failed
#'
#' @export
#'
#' @importFrom dplyr %>% arrange filter full_join left_join mutate select slice
#'
#' @author Nina Ting Qi
#'
#' @examples
#'
#' AE <- data.frame(STUDYID = 1:5, USUBJID = LETTERS[1:5],
#' AEDTHDTC = c(rep("", 4), "2016-01-01"),
#' AESTDTC = rep("2016-01-01", 5),
#' AEDECOD = LETTERS[1:5], AETERM = LETTERS[1:5],
#' stringsAsFactors = FALSE)
#'
#' DS <- data.frame(STUDYID = 1:5, USUBJID = LETTERS[1:5],
#' DSSTDTC = rep("2016-01-02", 5),
#' DSDECOD = c(LETTERS[1:4], "death"),
#' DSTERM = letters[1:5],
#' stringsAsFactors = FALSE)
#'
#' LB <- data.frame(STUDYID = 1:5, USUBJID = LETTERS[1:5],
#' LBDTC = rep("2015-12-31", 5),
#' LBTESTCD = letters[1:5],
#' LBORRES = 1:5,
#' stringsAsFactors = FALSE)
#'
#' check_lb_lbdtc_after_dd(AE, DS, LB)
#'
#' LB$LBDTC[1] <- "2016-01-03"
#' LB$USUBJID[1] <- LB$USUBJID[5]
#'
#' check_lb_lbdtc_after_dd(AE, DS, LB)
#'
#'
check_lb_lbdtc_after_dd <- function(AE, DS, LB) {
lacks_msgs <- NULL # For storing lack_msg from all required SDTM datasets
if (AE %lacks_any% c("USUBJID", "AEDTHDTC", "AESTDTC", "AEDECOD", "AETERM")) {
lacks_msgs <- c(lacks_msgs, lacks_msg(AE, c("USUBJID", "AEDTHDTC", "AESTDTC", "AEDECOD", "AETERM")))
}
if (DS %lacks_any% c("USUBJID", "DSSTDTC", "DSDECOD", "DSTERM")) {
lacks_msgs <- c(lacks_msgs, lacks_msg(DS, c("USUBJID", "DSSTDTC", "DSDECOD", "DSTERM")))
}
if (LB %lacks_any% c("USUBJID", "LBDTC", "LBTESTCD", "LBORRES")) {
lacks_msgs <- c(lacks_msgs, lacks_msg(LB, c("USUBJID", "LBDTC", "LBTESTCD", "LBORRES")))
}
if (length(lacks_msgs) > 0) {
fail(msg = paste0(lacks_msgs, collapse = ". "))
} else {
AE$AEDTHDTC <- impute_day01(AE$AEDTHDTC)
AE$AESTDTC <- impute_day01(AE$AESTDTC)
DS$DSSTDTC <- impute_day01(DS$DSSTDTC)
LB$LBDTC <- impute_day01(LB$LBDTC)
# Get earliest death date by USUBJID
ae_dd <- AE %>%
select(USUBJID, AEDTHDTC) %>%
filter(!is_sas_na(AEDTHDTC)) %>%
arrange(USUBJID, AEDTHDTC)
ae_dd <- unique(ae_dd)
ds_dd <- DS %>%
filter((grepl("DEATH", DSDECOD, ignore.case = TRUE) | grepl("DEATH", DSTERM, ignore.case = TRUE)),
!is_sas_na(DSSTDTC)) %>%
select(USUBJID, DSSTDTC) %>%
arrange(USUBJID, DSSTDTC)
ds_dd <- unique(ds_dd)
death_dates <- full_join(ae_dd, ds_dd, by = "USUBJID")
if (nrow(death_dates) == 0) {
pass() # If no death dates, then check automatically passes
} else {
death_dates <- death_dates %>%
mutate(EARLIEST_DTHDTC = pmin(as.Date(AEDTHDTC), as.Date(DSSTDTC), na.rm = T))
suppressWarnings(
mydf0 <- LB %>%
filter(USUBJID %in% death_dates[["USUBJID"]], !is_sas_na(LBDTC), !is_sas_na(LBORRES)) %>%
select(USUBJID, LBDTC, LBTESTCD) %>%
left_join(death_dates, by = "USUBJID")
)
mydf <- mydf0 %>%
filter(as.Date(EARLIEST_DTHDTC) < as.Date(LBDTC))
if (nrow(mydf) == 0) {
pass()
} else {
fail("Patient(s) with LB occurring after death date. ", mydf)
}
}
}
}
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