It creates column to indicate the count overlap information between a table and a concept

Usage

addConceptIntersectCount(
  x,
  conceptSet,
  indexDate = "cohort_start_date",
  censorDate = NULL,
  window = list(c(0, Inf)),
  targetStartDate = "event_start_date",
  targetEndDate = "event_end_date",
  inObservation = TRUE,
  nameStyle = "{concept_name}_{window_name}",
  name = NULL
)

Arguments

x: Table with individuals in the cdm.
conceptSet: Concept set list.
indexDate: Variable in x that contains the date to compute the intersection.
censorDate: whether to censor overlap events at a date column of x
window: window to consider events in.
targetStartDate: Event start date to use for the intersection.
targetEndDate: Event end date to use for the intersection.
inObservation: If TRUE only records inside an observation period will be considered.
nameStyle: naming of the added column or columns, should include required parameters.
name: Name of the new table, if NULL a temporary table is returned.

Value

table with added columns with overlap information

Examples

# \donttest{
library(PatientProfiles)
cdm <- mockPatientProfiles()
concept <- dplyr::tibble(
  concept_id = c(1125315),
  domain_id = "Drug",
  vocabulary_id = NA_character_,
  concept_class_id = "Ingredient",
  standard_concept = "S",
  concept_code = NA_character_,
  valid_start_date = as.Date("1900-01-01"),
  valid_end_date = as.Date("2099-01-01"),
  invalid_reason = NA_character_
) |>
  dplyr::mutate(concept_name = paste0("concept: ", .data$concept_id))
cdm <- CDMConnector::insertTable(cdm, "concept", concept)

cdm$cohort1 |>
  addConceptIntersectCount(conceptSet = list("acetaminophen" = 1125315))
#> Warning: ! `codelist` casted to integers.
#> # Source:   table<og_037_1748639735> [?? x 5]
#> # Database: DuckDB v1.2.2 [unknown@Linux 6.11.0-1015-azure:R 4.5.0/:memory:]
#>    cohort_definition_id subject_id cohort_start_date cohort_end_date
#>                   <int>      <int> <date>            <date>         
#>  1                    2          1 1988-10-27        1996-05-04     
#>  2                    3          5 1998-07-17        2013-01-18     
#>  3                    2         10 1934-12-14        1935-03-23     
#>  4                    1          9 1963-08-13        1970-04-09     
#>  5                    2          7 1937-10-22        1946-03-02     
#>  6                    2          3 1945-05-16        1961-03-14     
#>  7                    2          4 1974-08-23        1997-03-29     
#>  8                    3          6 1940-04-03        1944-10-09     
#>  9                    3          8 1942-10-21        1965-10-26     
#> 10                    3          2 1967-08-03        2002-09-10     
#> # ℹ 1 more variable: acetaminophen_0_to_inf <dbl>

mockDisconnect(cdm = cdm)
# }