MHT01
Table 1 (Default) Medical History Table 1.
mht01_1.Rd
The MHT01
table provides an overview of the subjects medical
history by SOC and Preferred Term.
Usage
mht01_1_main(
adam_db,
armvar = .study$planarm,
lbl_overall = .study$lbl_overall,
lbl_mhbodsys = "MedDRA System Organ Class",
lbl_mhdecod = "MedDRA Preferred Term",
prune_0 = TRUE,
deco = std_deco("MHT01"),
.study = list(planarm = "ARM", lbl_overall = NULL)
)
mht01_1_lyt(
armvar = .study$planarm,
lbl_overall = .study$lbl_overall,
lbl_mhbodsys = "MedDRA System Organ Class",
lbl_mhdecod = "MedDRA preferred Term",
deco = std_deco("MHT01"),
.study = list(planarm = "ARM", lbl_overall = NULL)
)
mht01_1_pre(adam_db, ...)
mht01_1
Arguments
- adam_db
(
dm
) object containing theADaM
datasets- armvar
(
character
) variable used for column splitting- lbl_overall
(
character
) label used for overall column, if set toNULL
the overall column is omitted- lbl_mhbodsys
(
string
) text label forMHBODSYS
. IfNULL
, the value of the argument defaults to the label of the corresponding column in theadmh
table.- lbl_mhdecod
(
string
) text label forMHDECOD
. IfNULL
, the value of the argument defaults to the label of the corresponding column in theadmh
table.- prune_0
(
logical
) remove 0 count rows- deco
(
character
) decoration withtitle
,subtitles
andmain_footer
content- .study
(
list
) with default values for the arguments of the function- ...
not used.
Details
Numbers represent absolute numbers of patients and fraction of
N
, or absolute number of event when specified.Remove zero-count rows unless overridden with
prune_0 = FALSE
.Split columns by arm.
Does not include a total column by default.
Order by body system alphabetically and within body system and medical condition by decreasing total number of patients with the specific condition.
Examples
run(mht01_1, syn_test_data())
#> MedDRA System Organ Class A: Drug X B: Placebo C: Combination
#> MedDRA Preferred Term (N=134) (N=134) (N=132)
#> ——————————————————————————————————————————————————————————————————————————————————————————————————
#> Total number of patients with at least one condition 122 (91%) 123 (91.8%) 120 (90.9%)
#> Total number of conditions 609 622 703
#> cl A
#> Total number of patients with at least one condition 78 (58.2%) 75 (56%) 89 (67.4%)
#> Total number of conditions 132 130 160
#> trm A_1/2 50 (37.3%) 45 (33.6%) 63 (47.7%)
#> trm A_2/2 48 (35.8%) 48 (35.8%) 50 (37.9%)
#> cl B
#> Total number of patients with at least one condition 96 (71.6%) 89 (66.4%) 97 (73.5%)
#> Total number of conditions 185 198 205
#> trm B_3/3 48 (35.8%) 54 (40.3%) 51 (38.6%)
#> trm B_2/3 49 (36.6%) 44 (32.8%) 52 (39.4%)
#> trm B_1/3 47 (35.1%) 49 (36.6%) 43 (32.6%)
#> cl C
#> Total number of patients with at least one condition 67 (50%) 75 (56%) 79 (59.8%)
#> Total number of conditions 103 116 129
#> trm C_2/2 35 (26.1%) 48 (35.8%) 55 (41.7%)
#> trm C_1/2 43 (32.1%) 46 (34.3%) 43 (32.6%)
#> cl D
#> Total number of patients with at least one condition 96 (71.6%) 90 (67.2%) 98 (74.2%)
#> Total number of conditions 189 178 209
#> trm D_3/3 47 (35.1%) 58 (43.3%) 57 (43.2%)
#> trm D_1/3 50 (37.3%) 42 (31.3%) 51 (38.6%)
#> trm D_2/3 48 (35.8%) 42 (31.3%) 50 (37.9%)