EGT05_QTCAT Table 1 (Default) ECG Actual Values and Changes from Baseline by Visit Table 1.
egt05_qtcat_1.RdThe EGT05_QTCAT table 1 summarizes several electrocardiogram parameters and their evolution
throughout the study.
Usage
egt05_qtcat_1_main(
adam_db,
arm_var = "ACTARM",
summaryvars = list(`Value at Visit` = "AVALCAT1", `Change from Baseline` = "CHGCAT1"),
summaryvars_lbls = get_labels(adam_db$adeg, summaryvars),
lbl_overall = NULL,
visitvar = "AVISIT",
lbl_avisit = var_labels_for(adam_db$adeg, visitvar),
paramvar = "QT",
lbl_param = var_labels_for(adam_db$adeg, "PARAM"),
deco = std_deco("EGT05_QTCAT"),
lbl_cat = "Category",
lbl_headvisit = "Analysis Visit",
...
)
egt05_qtcat_1_lyt(
arm_var,
summaryvars,
summaryvars_lbls,
lbl_overall,
visitvar,
lbl_avisit,
lbl_param,
deco,
lbl_cat,
lbl_headvisit
)
egt05_qtcat_1_pre(adam_db, ...)
egt05_qtcat_1_post(tlg, prune_0 = TRUE, ...)
egt05_qtcat_1Arguments
- adam_db
(
dm) object containing theADaMdatasets- arm_var
(
string) variable used for column splitting- summaryvars
(
character) the variables to be analyzed.AVALCAT1andCHGCAT1by default.- summaryvars_lbls
(
character) the label of the variables to be analyzed.- lbl_overall
(
string) label used for overall column, if set toNULLthe overall column is omitted- visitvar
(
string) typically one of"AVISIT"(Default) or"ATPTN"depending on the type of time point to be displayed.- lbl_avisit
(
string) label of thevisitvarvariable.- paramvar
(
string) typically"QT"(Default). It should come from"PARAMCD".- lbl_param
(
string) label of thePARAMvariable.- deco
(
character) decoration withtitle,subtitlesandmain_footercontent- lbl_cat
(
string) label of the Category ofsummaryvarsvariable. Default asCategory.- lbl_headvisit
(
string) label of Visits in the header. Default asAnalysis Visit.- ...
not used.
- tlg
(
TableTree,Listingorggplot) object typically produced by amainfunction.- prune_0
(
flag) remove 0 count rows
Details
The
Value at Visitcolumn, displays the categories of the specific"PARAMCD"value for patients.The
Change from Baselinecolumn, displays the categories of the specific"PARAMCD"value change from baseline for patients.Remove zero-count rows unless overridden with
prune_0 = FALSE.Split columns by arm, typically
"ACTARM".Does not include a total column by default.
Sorted based on factor level; by chronological time point given by one of
"AVISIT"(Default) or"ATPTN". Re-level to customize order.
Functions
egt05_qtcat_1_main(): Main TLG functionegt05_qtcat_1_lyt(): Layoutegt05_qtcat_1_pre(): Preprocessingegt05_qtcat_1_post(): Postprocessing
Note
adam_dbobject must contain anadegtable with column specified invisitvar. Forsummaryvars, please make sureAVALCAT1andCHGCAT1columns existed in input data sets.
Examples
db <- syn_data
run(egt05_qtcat_1, db)
#> Parameter
#> Analysis Visit A: Drug X B: Placebo C: Combination
#> Category (N=134) (N=134) (N=132)
#> ———————————————————————————————————————————————————————————————————————
#> QT Duration
#> BASELINE
#> Value at Visit
#> n 134 134 132
#> <=450 msec 115 (85.8%) 117 (87.3%) 104 (78.8%)
#> >450 to <=480 msec 6 (4.5%) 10 (7.5%) 9 (6.8%)
#> >480 to <=500 msec 4 (3%) 3 (2.2%) 6 (4.5%)
#> >500 msec 9 (6.7%) 4 (3%) 13 (9.8%)
#> WEEK 1 DAY 8
#> Value at Visit
#> n 134 134 132
#> <=450 msec 113 (84.3%) 106 (79.1%) 106 (80.3%)
#> >450 to <=480 msec 10 (7.5%) 10 (7.5%) 11 (8.3%)
#> >480 to <=500 msec 4 (3%) 4 (3%) 3 (2.3%)
#> >500 msec 7 (5.2%) 14 (10.4%) 12 (9.1%)
#> Change from Baseline
#> n 134 134 132
#> <=30 msec 76 (56.7%) 75 (56%) 75 (56.8%)
#> >30 to <=60 msec 7 (5.2%) 13 (9.7%) 11 (8.3%)
#> >60 msec 51 (38.1%) 46 (34.3%) 46 (34.8%)
#> WEEK 2 DAY 15
#> Value at Visit
#> n 134 134 132
#> <=450 msec 111 (82.8%) 114 (85.1%) 112 (84.8%)
#> >450 to <=480 msec 10 (7.5%) 9 (6.7%) 9 (6.8%)
#> >480 to <=500 msec 7 (5.2%) 2 (1.5%) 5 (3.8%)
#> >500 msec 6 (4.5%) 9 (6.7%) 6 (4.5%)
#> Change from Baseline
#> n 134 134 132
#> <=30 msec 71 (53%) 87 (64.9%) 89 (67.4%)
#> >30 to <=60 msec 11 (8.2%) 9 (6.7%) 9 (6.8%)
#> >60 msec 52 (38.8%) 38 (28.4%) 34 (25.8%)
#> WEEK 3 DAY 22
#> Value at Visit
#> n 134 134 132
#> <=450 msec 106 (79.1%) 112 (83.6%) 118 (89.4%)
#> >450 to <=480 msec 13 (9.7%) 7 (5.2%) 3 (2.3%)
#> >480 to <=500 msec 4 (3%) 5 (3.7%) 2 (1.5%)
#> >500 msec 11 (8.2%) 10 (7.5%) 9 (6.8%)
#> Change from Baseline
#> n 134 134 132
#> <=30 msec 63 (47%) 80 (59.7%) 81 (61.4%)
#> >30 to <=60 msec 14 (10.4%) 8 (6%) 11 (8.3%)
#> >60 msec 57 (42.5%) 46 (34.3%) 40 (30.3%)
#> WEEK 4 DAY 29
#> Value at Visit
#> n 134 134 132
#> <=450 msec 117 (87.3%) 103 (76.9%) 114 (86.4%)
#> >450 to <=480 msec 7 (5.2%) 14 (10.4%) 6 (4.5%)
#> >480 to <=500 msec 4 (3%) 7 (5.2%) 3 (2.3%)
#> >500 msec 6 (4.5%) 10 (7.5%) 9 (6.8%)
#> Change from Baseline
#> n 134 134 132
#> <=30 msec 79 (59%) 80 (59.7%) 79 (59.8%)
#> >30 to <=60 msec 11 (8.2%) 7 (5.2%) 10 (7.6%)
#> >60 msec 44 (32.8%) 47 (35.1%) 43 (32.6%)
#> WEEK 5 DAY 36
#> Value at Visit
#> n 134 134 132
#> <=450 msec 107 (79.9%) 117 (87.3%) 112 (84.8%)
#> >450 to <=480 msec 16 (11.9%) 5 (3.7%) 13 (9.8%)
#> >480 to <=500 msec 5 (3.7%) 9 (6.7%) 3 (2.3%)
#> >500 msec 6 (4.5%) 3 (2.2%) 4 (3%)
#> Change from Baseline
#> n 134 134 132
#> <=30 msec 72 (53.7%) 82 (61.2%) 73 (55.3%)
#> >30 to <=60 msec 10 (7.5%) 11 (8.2%) 11 (8.3%)
#> >60 msec 52 (38.8%) 41 (30.6%) 48 (36.4%)
run(egt05_qtcat_1, db, summaryvars = list("AVALCAT1", "Change" = "CHGCAT1"))
#> Parameter
#> Analysis Visit A: Drug X B: Placebo C: Combination
#> Category (N=134) (N=134) (N=132)
#> ———————————————————————————————————————————————————————————————————————
#> QT Duration
#> BASELINE
#> AVALCAT1
#> n 134 134 132
#> <=450 msec 115 (85.8%) 117 (87.3%) 104 (78.8%)
#> >450 to <=480 msec 6 (4.5%) 10 (7.5%) 9 (6.8%)
#> >480 to <=500 msec 4 (3%) 3 (2.2%) 6 (4.5%)
#> >500 msec 9 (6.7%) 4 (3%) 13 (9.8%)
#> WEEK 1 DAY 8
#> AVALCAT1
#> n 134 134 132
#> <=450 msec 113 (84.3%) 106 (79.1%) 106 (80.3%)
#> >450 to <=480 msec 10 (7.5%) 10 (7.5%) 11 (8.3%)
#> >480 to <=500 msec 4 (3%) 4 (3%) 3 (2.3%)
#> >500 msec 7 (5.2%) 14 (10.4%) 12 (9.1%)
#> Change
#> n 134 134 132
#> <=30 msec 76 (56.7%) 75 (56%) 75 (56.8%)
#> >30 to <=60 msec 7 (5.2%) 13 (9.7%) 11 (8.3%)
#> >60 msec 51 (38.1%) 46 (34.3%) 46 (34.8%)
#> WEEK 2 DAY 15
#> AVALCAT1
#> n 134 134 132
#> <=450 msec 111 (82.8%) 114 (85.1%) 112 (84.8%)
#> >450 to <=480 msec 10 (7.5%) 9 (6.7%) 9 (6.8%)
#> >480 to <=500 msec 7 (5.2%) 2 (1.5%) 5 (3.8%)
#> >500 msec 6 (4.5%) 9 (6.7%) 6 (4.5%)
#> Change
#> n 134 134 132
#> <=30 msec 71 (53%) 87 (64.9%) 89 (67.4%)
#> >30 to <=60 msec 11 (8.2%) 9 (6.7%) 9 (6.8%)
#> >60 msec 52 (38.8%) 38 (28.4%) 34 (25.8%)
#> WEEK 3 DAY 22
#> AVALCAT1
#> n 134 134 132
#> <=450 msec 106 (79.1%) 112 (83.6%) 118 (89.4%)
#> >450 to <=480 msec 13 (9.7%) 7 (5.2%) 3 (2.3%)
#> >480 to <=500 msec 4 (3%) 5 (3.7%) 2 (1.5%)
#> >500 msec 11 (8.2%) 10 (7.5%) 9 (6.8%)
#> Change
#> n 134 134 132
#> <=30 msec 63 (47%) 80 (59.7%) 81 (61.4%)
#> >30 to <=60 msec 14 (10.4%) 8 (6%) 11 (8.3%)
#> >60 msec 57 (42.5%) 46 (34.3%) 40 (30.3%)
#> WEEK 4 DAY 29
#> AVALCAT1
#> n 134 134 132
#> <=450 msec 117 (87.3%) 103 (76.9%) 114 (86.4%)
#> >450 to <=480 msec 7 (5.2%) 14 (10.4%) 6 (4.5%)
#> >480 to <=500 msec 4 (3%) 7 (5.2%) 3 (2.3%)
#> >500 msec 6 (4.5%) 10 (7.5%) 9 (6.8%)
#> Change
#> n 134 134 132
#> <=30 msec 79 (59%) 80 (59.7%) 79 (59.8%)
#> >30 to <=60 msec 11 (8.2%) 7 (5.2%) 10 (7.6%)
#> >60 msec 44 (32.8%) 47 (35.1%) 43 (32.6%)
#> WEEK 5 DAY 36
#> AVALCAT1
#> n 134 134 132
#> <=450 msec 107 (79.9%) 117 (87.3%) 112 (84.8%)
#> >450 to <=480 msec 16 (11.9%) 5 (3.7%) 13 (9.8%)
#> >480 to <=500 msec 5 (3.7%) 9 (6.7%) 3 (2.3%)
#> >500 msec 6 (4.5%) 3 (2.2%) 4 (3%)
#> Change
#> n 134 134 132
#> <=30 msec 72 (53.7%) 82 (61.2%) 73 (55.3%)
#> >30 to <=60 msec 10 (7.5%) 11 (8.2%) 11 (8.3%)
#> >60 msec 52 (38.8%) 41 (30.6%) 48 (36.4%)