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.
cmt01a_2(
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)(dm) object containing the ADaM datasets
(character) variable used for column splitting
(character) the variable defining the medication category. By default ATC2.
(character) label for the variable defining the medication category.
(character) the variable defining the medication name. By default CMDECOD.
(character) label for the variable defining the medication name.
(character) label used for overall column, if set to NULL the overall column is omitted
(logical) remove 0 count rows
(character) decoration with title, subtitles and main_footer content
(list) with default values for the arguments of the function
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.
cmt01a_2_pre: cmt01a_2 Preprocessing
library(dm)
db <- syn_test_data() %>%
dm_zoom_to("adcm") %>%
filter(ATIREL == "CONCOMITANT") %>%
dm_update_zoomed() %>%
cmt01a_2_pre()
cmt01a_2(adam_db = db)
#> Concomitant Medications by Medication Class and Preferred Name: {Specify Population}
#> Protocol: {{protocol}}
#>
#> ———————————————————————————————————————————————————————————————————————————————————————————————————
#> 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%)
#> ———————————————————————————————————————————————————————————————————————————————————————————————————
#>
#> Treatments are coded using the WHODrug Global B3 Format dictionary {version}. Treatments can appear under multiple
#> classes. Multiple uses of a specific medication for a patient were counted once in the frequency for the medication.
#> Likewise, multiple uses within a specific medication class for a patient were counted once in the frequency for the
#> medication class. For frequency counts in "Total number of treatments", multiple uses of the same medication for a
#> patient were counted separately. Standard footnote defining medications included in table (e.g., includes concomitant
#> medications used at any time from first dose of study drug through 7 days after last dose of study drug).
syn_test_data() %>%
cmt01a_2_pre()
#> ── Metadata ────────────────────────────────────────────────────────────────────
#> Tables: `adsl`, `adae`, `adaette`, `adcm`, `addv`, … (15 total)
#> Columns: 846
#> Primary keys: 2
#> Foreign keys: 1