CMT01A Table 2 (Supplementary) Concomitant Medication by Medication Class and Preferred Name (Classes sorted by
frequency).
cmt01a_2.RdA concomitant medication table with the number of subjects and the total number of treatments by medication class and medication name sorted by frequencies.
Usage
cmt01a_2_main(
adam_db,
armvar = .study$planarm,
medcat_var = "ATC2",
lbl_medcat_var = "ATC Class Level 2",
medname_var = "CMDECOD",
lbl_medname_var = "Other Treatment",
lbl_overall = .study$lbl_overall,
prune_0 = TRUE,
deco = std_deco("CMT01A"),
.study = list(planarm = "ARM", lbl_overall = NULL)
)
cmt01a_2_pre(adam_db, ...)
cmt01a_2Arguments
- adam_db
(
dm) object containing theADaMdatasets- armvar
(
character) variable used for column splitting- medcat_var
(
character) the variable defining the medication category. By defaultATC2.- lbl_medcat_var
(
character) label for the variable defining the medication category.- medname_var
(
character) the variable defining the medication name. By defaultCMDECOD.- lbl_medname_var
(
character) label for the variable defining the medication name.- lbl_overall
(
character) label used for overall column, if set toNULLthe overall column is omitted- prune_0
(
logical) remove 0 count rows- deco
(
character) decoration withtitle,subtitlesandmain_footercontent- .study
(
list) with default values for the arguments of the function- ...
not used.
Details
Data should be filtered for concomitant medication.
(ATIREL == "CONCOMITANT").Numbers represent absolute numbers of subjects and fraction of
N, or absolute numbers when specified.Remove zero-count rows unless overridden with
prune_0 = FALSE.Split columns by arm.
Does not include a total column by default.
Sort by medication class frequency and within medication class by decreasing total number of patients with the specific medication.
Examples
library(magrittr)
library(dm)
db <- syn_test_data() %>%
dm_zoom_to("adcm") %>%
filter(.data$ATIREL == "CONCOMITANT") %>%
dm_update_zoomed()
run(cmt01a_2, db)
#> ATC Class Level 2 A: Drug X B: Placebo C: Combination
#> Other Treatment (N=134) (N=134) (N=132)
#> ———————————————————————————————————————————————————————————————————————————————————————————————————
#> Total number of patients with at least one treatment 117 (87.3%) 116 (86.6%) 116 (87.9%)
#> Total number of treatments 415 414 460
#> ATCCLAS2 C
#> Total number of patients with at least one treatment 82 (61.2%) 84 (62.7%) 89 (67.4%)
#> Total number of treatments 140 140 155
#> medname C_2/2 52 (38.8%) 58 (43.3%) 60 (45.5%)
#> medname C_1/2 51 (38.1%) 50 (37.3%) 56 (42.4%)
#> ATCCLAS2 C p2
#> Total number of patients with at least one treatment 82 (61.2%) 84 (62.7%) 89 (67.4%)
#> Total number of treatments 140 140 155
#> medname C_2/2 52 (38.8%) 58 (43.3%) 60 (45.5%)
#> medname C_1/2 51 (38.1%) 50 (37.3%) 56 (42.4%)
#> ATCCLAS2 B
#> Total number of patients with at least one treatment 83 (61.9%) 74 (55.2%) 88 (66.7%)
#> Total number of treatments 141 137 162
#> medname B_1/4 52 (38.8%) 57 (42.5%) 59 (44.7%)
#> medname B_4/4 50 (37.3%) 45 (33.6%) 55 (41.7%)
#> ATCCLAS2 A
#> Total number of patients with at least one treatment 75 (56%) 79 (59%) 81 (61.4%)
#> Total number of treatments 134 137 143
#> medname A_2/3 53 (39.6%) 50 (37.3%) 56 (42.4%)
#> medname A_3/3 45 (33.6%) 54 (40.3%) 48 (36.4%)
#> ATCCLAS2 A p2
#> Total number of patients with at least one treatment 75 (56%) 79 (59%) 81 (61.4%)
#> Total number of treatments 134 137 143
#> medname A_2/3 53 (39.6%) 50 (37.3%) 56 (42.4%)
#> medname A_3/3 45 (33.6%) 54 (40.3%) 48 (36.4%)
#> ATCCLAS2 A p3
#> Total number of patients with at least one treatment 75 (56%) 79 (59%) 81 (61.4%)
#> Total number of treatments 134 137 143
#> medname A_2/3 53 (39.6%) 50 (37.3%) 56 (42.4%)
#> medname A_3/3 45 (33.6%) 54 (40.3%) 48 (36.4%)
#> ATCCLAS2 C p3
#> Total number of patients with at least one treatment 51 (38.1%) 50 (37.3%) 56 (42.4%)
#> Total number of treatments 71 67 75
#> medname C_1/2 51 (38.1%) 50 (37.3%) 56 (42.4%)