LBT14
Laboratory Test Results Shift Table – Highest NCI-CTCAE
Grade Post-Baseline by
Baseline Grade (Low or High Direction).
lbt14.Rd
LBT14
Laboratory Test Results Shift Table – Highest NCI-CTCAE
Grade Post-Baseline by
Baseline Grade (Low or High Direction).
Usage
lbt14_main(adam_db, arm_var = "ACTARM", gr_missing = "incl", ...)
lbt14_pre(adam_db, gr_missing = "incl", direction = "low", ...)
lbt14_post(tlg, prune_0 = TRUE, ...)
lbt14
Arguments
- adam_db
(
list
ofdata.frames
) object containing theADaM
datasets- arm_var
(
string
) variable used for column splitting- gr_missing
(
string
) how missing baseline grades should be handled. Defaults to"incl"
to include the"Missing"
level. Other options are"excl"
to exclude patients with missing baseline grades and"gr_0"
to convert missing baseline grades to grade 0.- ...
not used.
- direction
(
string
) one of"high"
or"low"
indicating which shift direction should be detailed.- tlg
(
TableTree
,Listing
orggplot
) object typically produced by amain
function.- prune_0
(
flag
) remove 0 count rows
Details
Only the worst grade recorded for each patient is included in the table.
If no missing baseline lab results, the "Missing" level of
BTOXGR
is excluded.Grades 0, 1, 2, 3, and 4 are counted as
"Not Low"
whendirection = "low"
. Conversely, whendirection = "high"
, Grades 0, -1, -2, -3, and -4 are counted as `"Not High".Remove zero-count rows unless overridden with
prune_0 = FALSE
.Split columns by arm, typically
ACTARM
.
Note
adam_db
object must contain anadlb
table with columns"USUBJID"
,"PARAM"
,"BTOXGR"
,"ATOXGR"
, and the column specified byarm_var
.
Examples
run(lbt14, syn_data)
#> Parameter
#> Baseline NCI-CTCAE Grade A: Drug X B: Placebo C: Combination
#> Post-baseline NCI-CTCAE Grade (N=134) (N=134) (N=132)
#> ——————————————————————————————————————————————————————————————————————————————————————
#> Alanine Aminotransferase Measurement
#> Not Low 124 122 117
#> Not Low 74 (55.2%) 76 (56.7%) 80 (60.6%)
#> 1 13 (9.7%) 12 (9.0%) 9 (6.8%)
#> 2 13 (9.7%) 16 (11.9%) 11 (8.3%)
#> 3 17 (12.7%) 11 (8.2%) 9 (6.8%)
#> 4 7 (5.2%) 7 (5.2%) 8 (6.1%)
#> 1 3 6 7
#> Not Low 0 2 (1.5%) 5 (3.8%)
#> 1 1 (0.7%) 2 (1.5%) 0
#> 2 0 1 (0.7%) 0
#> 3 2 (1.5%) 1 (0.7%) 0
#> 4 0 0 2 (1.5%)
#> 2 2 1 4
#> Not Low 2 (1.5%) 0 3 (2.3%)
#> 2 0 1 (0.7%) 0
#> 3 0 0 1 (0.8%)
#> 3 2 3 4
#> Not Low 2 (1.5%) 2 (1.5%) 3 (2.3%)
#> 1 0 1 (0.7%) 1 (0.8%)
#> 4 3 2 0
#> Not Low 2 (1.5%) 1 (0.7%) 0
#> 3 1 (0.7%) 0 0
#> 4 0 1 (0.7%) 0
#> C-Reactive Protein Measurement
#> Not Low 122 125 120
#> Not Low 67 (50.0%) 81 (60.4%) 70 (53.0%)
#> 1 14 (10.4%) 17 (12.7%) 13 (9.8%)
#> 2 20 (14.9%) 11 (8.2%) 16 (12.1%)
#> 3 12 (9.0%) 9 (6.7%) 17 (12.9%)
#> 4 9 (6.7%) 7 (5.2%) 4 (3.0%)
#> 1 2 5 5
#> Not Low 0 3 (2.2%) 4 (3.0%)
#> 1 0 1 (0.7%) 1 (0.8%)
#> 2 1 (0.7%) 1 (0.7%) 0
#> 4 1 (0.7%) 0 0
#> 2 5 1 1
#> Not Low 3 (2.2%) 0 1 (0.8%)
#> 1 2 (1.5%) 0 0
#> 2 0 1 (0.7%) 0
#> 3 2 2 1
#> Not Low 2 (1.5%) 1 (0.7%) 0
#> 1 0 1 (0.7%) 0
#> 3 0 0 1 (0.8%)
#> 4 3 1 5
#> Not Low 2 (1.5%) 1 (0.7%) 3 (2.3%)
#> 1 0 0 1 (0.8%)
#> 4 1 (0.7%) 0 1 (0.8%)
#> Immunoglobulin A Measurement
#> Not Low 120 119 120
#> Not Low 69 (51.5%) 58 (43.3%) 70 (53.0%)
#> 1 16 (11.9%) 20 (14.9%) 16 (12.1%)
#> 2 12 (9.0%) 14 (10.4%) 14 (10.6%)
#> 3 14 (10.4%) 11 (8.2%) 13 (9.8%)
#> 4 9 (6.7%) 16 (11.9%) 7 (5.3%)
#> 1 8 8 3
#> Not Low 7 (5.2%) 4 (3.0%) 2 (1.5%)
#> 1 1 (0.7%) 3 (2.2%) 0
#> 2 0 1 (0.7%) 0
#> 4 0 0 1 (0.8%)
#> 2 2 1 2
#> Not Low 2 (1.5%) 1 (0.7%) 2 (1.5%)
#> 3 3 3 4
#> Not Low 1 (0.7%) 3 (2.2%) 2 (1.5%)
#> 1 0 0 1 (0.8%)
#> 3 1 (0.7%) 0 0
#> 4 1 (0.7%) 0 1 (0.8%)
#> 4 1 3 3
#> Not Low 1 (0.7%) 3 (2.2%) 1 (0.8%)
#> 3 0 0 1 (0.8%)
#> 4 0 0 1 (0.8%)