TL Catalog
  1. Tables
  2. Prior and Concomitant Therapies
  3. TSICM06
  • Introduction

  • Index

  • Tables
    • Adverse Events
      • TSFAE01A
      • TSFAE01B
      • TSFAE02
      • TSFAE02A
      • TSFAE03
      • TSFAE03A
      • TSFAE04
      • TSFAE04A
      • TSFAE05
      • TSFAE05A
      • TSFAE06A
      • TSFAE06B
      • TSFAE07A
      • TSFAE07B
      • TSFAE08
      • TSFAE09
      • TSFAE10
      • TSFAE11
      • TSFAE12
      • TSFAE13
      • TSFAE14
      • TSFAE15
      • TSFAE16
      • TSFAE17A
      • TSFAE17B
      • TSFAE17C
      • TSFAE17D
      • TSFAE19A
      • TSFAE19B
      • TSFAE19C
      • TSFAE19D
      • TSFAE20A
      • TSFAE20B
      • TSFAE20C
      • TSFAE21A
      • TSFAE21B
      • TSFAE21C
      • TSFAE21D
      • TSFAE22A
      • TSFAE22B
      • TSFAE22C
      • TSFAE23A
      • TSFAE23B
      • TSFAE23C
      • TSFAE23D
      • TSFAE24A
      • TSFAE24B
      • TSFAE24C
      • TSFAE24D
      • TSFAE24F
      • TSFDTH01
    • Clinical Laboratory Evaluation
      • TSFLAB01
      • TSFLAB01A
      • TSFLAB02
      • TSFLAB02A
      • TSFLAB02B
      • TSFLAB03
      • TSFLAB03A
      • TSFLAB04A
      • TSFLAB04B
      • TSFLAB05
      • TSFLAB06
      • TSFLAB07
    • Demographic
      • TSIDEM01
      • TSIDEM02
      • TSIMH01
    • Disposition of Subjects
      • TSIDS01
      • TSIDS02
      • TSIDS02A
    • Electrocardiograms
      • TSFECG01
      • TSFECG01A
      • TSFECG02
      • TSFECG03
      • TSFECG04
      • TSFECG05
    • Exposure
      • TSIEX01
      • TSIEX02
      • TSIEX03
      • TSIEX04
      • TSIEX06
      • TSIEX07
      • TSIEX08
      • TSIEX09
      • TSIEX10
      • TSIEX11
    • Pharmacokinetics
      • TPK01A
      • TPK01B
      • TPK02
      • TPK03
    • Prior and Concomitant Therapies
      • TSICM01
      • TSICM02
      • TSICM03
      • TSICM04
      • TSICM05
      • TSICM06
      • TSICM07
      • TSICM08
    • Vital Signs and Physical Findings
      • TSFVIT01
      • TSFVIT01A
      • TSFVIT02
      • TSFVIT03
      • TSFVIT04
      • TSFVIT05
      • TSFVIT06
  • Listings
    • Adverse Events
      • LSFAE01
      • LSFAE02
      • LSFAE03
      • LSFAE04
      • LSFAE05
      • LSFAE06A
      • LSFAE06B
      • LSFDTH01
    • Clinical Laboratory Evaluation
      • LSFLAB01
    • Demographic
      • LSIDEM01
      • LSIDEM02
      • LSIMH01
    • Disposition of Subjects
      • LSIDS01
      • LSIDS02
      • LSIDS03
      • LSIDS04
      • LSIDS05
    • Electrocardiograms
      • LSFECG01
      • LSFECG02
    • Exposure
      • LSIEX01
      • LSIEX02
      • LSIEX03
    • Prior and Concomitant Therapies
      • LSICM01
    • Vital Signs and Physical Findings
      • LSFVIT01
      • LSFVIT02

  • Reproducibility

  • Changelog

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  1. Tables
  2. Prior and Concomitant Therapies
  3. TSICM06

TSICM06

Prior Medications


Output

  • Preview
Code
# Program Name:              tsicm06.R

# Prep Environment

library(envsetup)
library(tern)
library(dplyr)
library(rtables)
library(junco)

# Define script level parameters:

# - Define output ID and file location

tblid <- "TSICM06"
fileid <- tblid
tab_titles <- get_titles_from_file(input_path = '../../_data/', tblid)
string_map <- default_str_map


trtvar <- "TRT01A"
popfl <- "SAFFL"

atcvar <- "CMLVL1"
atclevel <- "1"

combined_colspan_trt <- TRUE

if (combined_colspan_trt == TRUE) {
  # Set up levels and label for the required combined columns
  add_combo <- add_combo_facet(
    "Combined",
    label = "Combined",
    levels = c("Xanomeline High Dose", "Xanomeline Low Dose")
  )

  # choose if any facets need to be removed - e.g remove the combined column for placebo
  rm_combo_from_placebo <- cond_rm_facets(
    facets = "Combined",
    ancestor_pos = NA,
    value = " ",
    split = "colspan_trt"
  )

  mysplit <- make_split_fun(post = list(add_combo, rm_combo_from_placebo))
}

# Process Data:

adsl <- pharmaverseadamjnj::adsl %>%
  filter(!!rlang::sym(popfl) == "Y") %>%
  select(USUBJID, all_of(trtvar), all_of(popfl))

adcm <- pharmaverseadamjnj::adcm %>%
  filter(PREFL == "Y") %>%
  select(USUBJID, PREFL, all_of(atcvar), CMBASPRF)

# Convert medications to sentence case
adcm[[atcvar]] <- as.factor(stringr::str_to_sentence(adcm[[atcvar]]))
adcm$CMBASPRF <- as.factor(stringr::str_to_sentence(adcm$CMBASPRF))

adsl$colspan_trt <- factor(
  ifelse(adsl[[trtvar]] == "Placebo", " ", "Active Study Agent"),
  levels = c("Active Study Agent", " ")
)

# join data together
cm <- adcm %>% inner_join(., adsl, by = c("USUBJID"))

if (length(adcm$PREFL) == 0) {
  cm <- adcm %>% right_join(., adsl, by = c("USUBJID"))
}

colspan_trt_map <- create_colspan_map(
  adsl,
  non_active_grp = "Placebo",
  non_active_grp_span_lbl = " ",
  active_grp_span_lbl = "Active Study Agent",
  colspan_var = "colspan_trt",
  trt_var = trtvar
)

# Define layout and build table:

extra_args_1 <- list(.stats = "count_unique_fraction")

lyt <- rtables::basic_table(
  top_level_section_div = " ",
  show_colcounts = TRUE,
  colcount_format = "N=xx"
) %>%
  split_cols_by(
    "colspan_trt",
    split_fun = trim_levels_to_map(map = colspan_trt_map)
  )

if (combined_colspan_trt == TRUE) {
  lyt <- lyt %>%
    split_cols_by(trtvar, split_fun = mysplit)
} else {
  lyt <- lyt %>%
    split_cols_by(trtvar)
}

lyt <- lyt %>%
  add_overall_col("Total") %>%
  analyze(
    "PREFL",
    afun = a_freq_j,
    extra_args = append(
      extra_args_1,
      list(label = "Subjects with >=1 prior medication")
    )
  ) %>%
  split_rows_by(
    atcvar,
    child_labels = "hidden",
    split_label = paste0("ATC Level ", atclevel),
    label_pos = "topleft",
    split_fun = trim_levels_in_group("CMBASPRF"),
    section_div = c(" "),
    indent_mod = 0L
  ) %>%
  summarize_row_groups(atcvar, cfun = a_freq_j, extra_args = extra_args_1) %>%
  analyze("CMBASPRF", afun = a_freq_j, extra_args = (extra_args_1)) %>%
  append_topleft("  Base Preferred Term")

result <- build_table(lyt, cm, alt_counts_df = adsl)

# If there is no data remove top row and display "No data to display" text
if (length(adcm$PREFL) == 0) {
  result <- safe_prune_table(
    result,
    prune_func = remove_rows(
      removerowtext = "Subjects with >=1 prior medication"
    )
  )
}

# Post-Processing step to sort by descending count on total column:

if (length(adcm$PREFL) != 0) {
  result <- sort_at_path(
    result,
    c("root", atcvar),
    scorefun = jj_complex_scorefun(colpath = "Total")
  )
  result <- sort_at_path(
    result,
    c("root", atcvar, "*", "CMBASPRF"),
    scorefun = jj_complex_scorefun(colpath = "Total")
  )
}

# Add titles and footnotes:

result <- set_titles(result, tab_titles)

# Convert to tbl file and output table

tt_to_tlgrtf(string_map = string_map, tt = result, file = fileid, orientation = "landscape")

TSICM06: Prior Medications; Safety Analysis Set (Study jjcs - core)

Active Study Agent

ATC Level 1

Xanomeline High Dose

Xanomeline Low Dose

Combined

Placebo

Total

Base Preferred Term

N=53

N=73

N=126

N=59

N=185

Subjects with ≥1 prior
 medication

43 (81.1%)

56 (76.7%)

99 (78.6%)

49 (83.1%)

148 (80.0%)

Uncoded

42 (79.2%)

54 (74.0%)

96 (76.2%)

47 (79.7%)

143 (77.3%)

Uncoded: vitamin e

8 (15.1%)

10 (13.7%)

18 (14.3%)

12 (20.3%)

30 (16.2%)

Uncoded: multivitamin

8 (15.1%)

11 (15.1%)

19 (15.1%)

9 (15.3%)

28 (15.1%)

Uncoded: multivitamins

8 (15.1%)

5 (6.8%)

13 (10.3%)

6 (10.2%)

19 (10.3%)

Uncoded: vitamin c

5 (9.4%)

5 (6.8%)

10 (7.9%)

5 (8.5%)

15 (8.1%)

Uncoded: synthroid

3 (5.7%)

4 (5.5%)

7 (5.6%)

3 (5.1%)

10 (5.4%)

Uncoded: tylenol

3 (5.7%)

3 (4.1%)

6 (4.8%)

4 (6.8%)

10 (5.4%)

Uncoded: timoptic

5 (9.4%)

2 (2.7%)

7 (5.6%)

2 (3.4%)

9 (4.9%)

Uncoded: centrum silver

2 (3.8%)

2 (2.7%)

4 (3.2%)

2 (3.4%)

6 (3.2%)

Uncoded: ibuprofen

0

2 (2.7%)

2 (1.6%)

4 (6.8%)

6 (3.2%)

Uncoded: motrin

3 (5.7%)

1 (1.4%)

4 (3.2%)

2 (3.4%)

6 (3.2%)

Uncoded: ativan

0

3 (4.1%)

3 (2.4%)

2 (3.4%)

5 (2.7%)

Uncoded: ecotrin

0

3 (4.1%)

3 (2.4%)

2 (3.4%)

5 (2.7%)

Uncoded: estrogen nos

3 (5.7%)

0

3 (2.4%)

2 (3.4%)

5 (2.7%)

Uncoded: ginkgo biloba

1 (1.9%)

3 (4.1%)

4 (3.2%)

1 (1.7%)

5 (2.7%)

Uncoded: metamucil

3 (5.7%)

1 (1.4%)

4 (3.2%)

1 (1.7%)

5 (2.7%)

Uncoded: provera

1 (1.9%)

2 (2.7%)

3 (2.4%)

2 (3.4%)

5 (2.7%)

Uncoded: zestril

2 (3.8%)

1 (1.4%)

3 (2.4%)

2 (3.4%)

5 (2.7%)

Uncoded: zocor

1 (1.9%)

1 (1.4%)

2 (1.6%)

3 (5.1%)

5 (2.7%)

Uncoded: advil

4 (7.5%)

0

4 (3.2%)

0

4 (2.2%)

Uncoded: asa

3 (5.7%)

0

3 (2.4%)

1 (1.7%)

4 (2.2%)

Uncoded: claritin

0

3 (4.1%)

3 (2.4%)

1 (1.7%)

4 (2.2%)

Uncoded: dyazide

0

4 (5.5%)

4 (3.2%)

0

4 (2.2%)

Uncoded: vitamin b12

0

2 (2.7%)

2 (1.6%)

2 (3.4%)

4 (2.2%)

Uncoded: zinc

1 (1.9%)

1 (1.4%)

2 (1.6%)

2 (3.4%)

4 (2.2%)

Uncoded: betagan

1 (1.9%)

0

1 (0.8%)

2 (3.4%)

3 (1.6%)

Uncoded: centrum

1 (1.9%)

1 (1.4%)

2 (1.6%)

1 (1.7%)

3 (1.6%)

Uncoded: furosemide

0

3 (4.1%)

3 (2.4%)

0

3 (1.6%)

Uncoded: garlic

2 (3.8%)

0

2 (1.6%)

1 (1.7%)

3 (1.6%)

Uncoded: lopid

2 (3.8%)

1 (1.4%)

3 (2.4%)

0

3 (1.6%)

Uncoded: monopril

0

2 (2.7%)

2 (1.6%)

1 (1.7%)

3 (1.6%)

Uncoded: ocuvite

1 (1.9%)

0

1 (0.8%)

2 (3.4%)

3 (1.6%)

Uncoded: potassium

0

2 (2.7%)

2 (1.6%)

1 (1.7%)

3 (1.6%)

Uncoded: prilosec

0

2 (2.7%)

2 (1.6%)

1 (1.7%)

3 (1.6%)

Uncoded: prinivil

1 (1.9%)

1 (1.4%)

2 (1.6%)

1 (1.7%)

3 (1.6%)

Uncoded: tums

1 (1.9%)

1 (1.4%)

2 (1.6%)

1 (1.7%)

3 (1.6%)

Uncoded: vitamins

0

3 (4.1%)

3 (2.4%)

0

3 (1.6%)

Uncoded: accupril

2 (3.8%)

0

2 (1.6%)

0

2 (1.1%)

Uncoded: acetaminophen

0

1 (1.4%)

1 (0.8%)

1 (1.7%)

2 (1.1%)

Uncoded: altace

0

1 (1.4%)

1 (0.8%)

1 (1.7%)

2 (1.1%)

Uncoded: aspirin (e.c.)

0

1 (1.4%)

1 (0.8%)

1 (1.7%)

2 (1.1%)

Uncoded: b complex

1 (1.9%)

0

1 (0.8%)

1 (1.7%)

2 (1.1%)

Uncoded: benadryl

1 (1.9%)

1 (1.4%)

2 (1.6%)

0

2 (1.1%)

Uncoded: betacarotene

0

1 (1.4%)

1 (0.8%)

1 (1.7%)

2 (1.1%)

Uncoded: bufferin

1 (1.9%)

1 (1.4%)

2 (1.6%)

0

2 (1.1%)

Uncoded: calcium carbonate

0

0

0

2 (3.4%)

2 (1.1%)

Uncoded: capoten

0

2 (2.7%)

2 (1.6%)

0

2 (1.1%)

Uncoded: chloral hydrate

1 (1.9%)

1 (1.4%)

2 (1.6%)

0

2 (1.1%)

Uncoded: excedrin

1 (1.9%)

1 (1.4%)

2 (1.6%)

0

2 (1.1%)

Uncoded: glyburide

1 (1.9%)

1 (1.4%)

2 (1.6%)

0

2 (1.1%)

Uncoded: herbal preparation

1 (1.9%)

0

1 (0.8%)

1 (1.7%)

2 (1.1%)

Uncoded: hydrochlorothiazide

1 (1.9%)

0

1 (0.8%)

1 (1.7%)

2 (1.1%)

Uncoded: hydrocortisone,
 topical

1 (1.9%)

1 (1.4%)

2 (1.6%)

0

2 (1.1%)

Uncoded: hytrin

1 (1.9%)

1 (1.4%)

2 (1.6%)

0

2 (1.1%)

Uncoded: lisinopril

0

2 (2.7%)

2 (1.6%)

0

2 (1.1%)

Uncoded: milk of magnesia

1 (1.9%)

0

1 (0.8%)

1 (1.7%)

2 (1.1%)

Uncoded: mylanta

0

0

0

2 (3.4%)

2 (1.1%)

Uncoded: prednisone

0

1 (1.4%)

1 (0.8%)

1 (1.7%)

2 (1.1%)

Uncoded: procardia

2 (3.8%)

0

2 (1.6%)

0

2 (1.1%)

Uncoded: propine

0

0

0

2 (3.4%)

2 (1.1%)

Uncoded: relafen

0

1 (1.4%)

1 (0.8%)

1 (1.7%)

2 (1.1%)

Uncoded: theragran-m

0

1 (1.4%)

1 (0.8%)

1 (1.7%)

2 (1.1%)

Uncoded: trusopt

0

0

0

2 (3.4%)

2 (1.1%)

Uncoded: vitamin b

0

2 (2.7%)

2 (1.6%)

0

2 (1.1%)

Uncoded: vitamin d

1 (1.9%)

0

1 (0.8%)

1 (1.7%)

2 (1.1%)

Uncoded: aerobid

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: albuterol

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: alphagan

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: ampicillin

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: anti-oxidant

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: ascriptin

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: beconase

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: benzalkonium
 chloride

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: calcium magnesium

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: central-vite

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: charcoal, activated

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: cipro

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: cod-liver oil

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: daypro

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: debrox

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: dhea

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: diabeta

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: diabinese

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: diprolene cream

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: dipyridamole

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: docusate

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: docusate sodium

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: estradiol

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: eucerin creme

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: ex-lax

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: feldene

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: fibre, dietary

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: folic acid

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: fosamax

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: garamycin
 ophthalmic

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: ginseng

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: glucotrol

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: hismanal

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: homeopatic
 preparation

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: humulin n

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: hydrochlorothiazide
 with triamterene

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: indocin

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: influenza virus
 vaccine

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: iron

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: k-dur

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: keflex

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: levobunolol

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: levothroid

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: levoxine

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: levoxyl

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: lopressor

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: lorazepam

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: lotensin

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: maxzide

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: meclizine

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded:
 medroxyprogesterone

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: metrogel

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: minerals nos

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: multivit

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: nasacort

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: nasal spray

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: neptazane

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: nitro patch

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: nitrodisc

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: nitroglycerin

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: ocupress

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: papaya

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: perdiem

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: persantine

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: pilocarpine
 hydrochloride

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: pilostat

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: pravastatin

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: premphase

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: promethazine hcl
 w/codeine

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: propulsid

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: psorcon

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: psyllium hydrophilic
 mucilloid

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: quercetin

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: quinamm

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: quinapril

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: quinine sulfate

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: stresstabs

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: sudafed

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: sulindac

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: surfak

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: ticlid

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: timolol maleate

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: triamcinolone

0

0

0

1 (1.7%)

1 (0.5%)

Uncoded: tylenol extra
 strength

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: tylenol w/codeine
 no. 4

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: ultram

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: vitamin a

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: vitamin b6

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: vitamins with
 minerals

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Uncoded: zephrex

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Uncoded: zestoretic

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Nervous system

3 (5.7%)

8 (11.0%)

11 (8.7%)

15 (25.4%)

26 (14.1%)

Acetylsalicylic acid

3 (5.7%)

8 (11.0%)

11 (8.7%)

14 (23.7%)

25 (13.5%)

Alprazolam

0

0

0

1 (1.7%)

1 (0.5%)

Sumatriptan

0

0

0

1 (1.7%)

1 (0.5%)

Alimentary tract and
 metabolism

4 (7.5%)

8 (11.0%)

12 (9.5%)

7 (11.9%)

19 (10.3%)

Calcium

3 (5.7%)

4 (5.5%)

7 (5.6%)

6 (10.2%)

13 (7.0%)

Simeticone

0

2 (2.7%)

2 (1.6%)

0

2 (1.1%)

Algeldrate

0

0

0

1 (1.7%)

1 (0.5%)

Calcium carbonate

1 (1.9%)

0

1 (0.8%)

0

1 (0.5%)

Loperamide hydrochloride

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Metformin hydrochloride

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Genito urinary system and sex
 hormones

3 (5.7%)

7 (9.6%)

10 (7.9%)

2 (3.4%)

12 (6.5%)

Estrogens conjugated

3 (5.7%)

7 (9.6%)

10 (7.9%)

2 (3.4%)

12 (6.5%)

Cardiovascular system

1 (1.9%)

6 (8.2%)

7 (5.6%)

2 (3.4%)

9 (4.9%)

Digoxin

1 (1.9%)

4 (5.5%)

5 (4.0%)

0

5 (2.7%)

Fluvastatin

0

2 (2.7%)

2 (1.6%)

0

2 (1.1%)

Nifedipine

0

0

0

2 (3.4%)

2 (1.1%)

Respiratory system

3 (5.7%)

0

3 (2.4%)

1 (1.7%)

4 (2.2%)

Naproxen sodium

3 (5.7%)

0

3 (2.4%)

1 (1.7%)

4 (2.2%)

Antineoplastic and
 immunomodulating agents

0

0

0

1 (1.7%)

1 (0.5%)

Leuprorelin acetate

0

0

0

1 (1.7%)

1 (0.5%)

Blood and blood forming organs

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Ferrous sulfate

0

1 (1.4%)

1 (0.8%)

0

1 (0.5%)

Note: Prior medications are defined as any therapy used before the day of first dose (partial or complete) of study treatment.

Download RTF file

TSICM05
TSICM07
Source Code
---
title: TSICM06
subtitle: Prior Medications
---

------------------------------------------------------------------------

{{< include ../../_utils/envir_hook.qmd >}}

```{r setup, echo = FALSE, warning = FALSE, message = FALSE}
options(docx.add_datetime = FALSE, tidytlg.add_datetime = FALSE)
envsetup_config_name <- "default"

# Path to the combined config file
envsetup_file_path <- file.path("../..", "envsetup.yml")

Sys.setenv(ENVSETUP_ENVIRON = '')
library(envsetup)
loaded_config <- config::get(config = envsetup_config_name, file = envsetup_file_path)
envsetup::rprofile(loaded_config)


dpscomp <- compound
dpspdr <- paste(protocol,dbrelease,rpteff,sep="__")

aptcomp <- compound
aptpdr <- paste(protocol,dbrelease,rpteff,sep="__")

###### Study specific updates (formerly in envre)

dpscomp <- "standards"
dpspdr <- "jjcs__NULL__jjcs - core"

apt <- FALSE
library(junco)
default_str_map <- rbind(default_str_map, c("&ctcae", "5.0"))

```

## Output

:::: panel-tabset
## {{< fa regular file-lines sm fw >}} Preview

```{r variant1, results='hide', warning = FALSE, message = FALSE}

# Program Name:              tsicm06.R

# Prep Environment

library(envsetup)
library(tern)
library(dplyr)
library(rtables)
library(junco)

# Define script level parameters:

# - Define output ID and file location

tblid <- "TSICM06"
fileid <- tblid
tab_titles <- get_titles_from_file(input_path = '../../_data/', tblid)
string_map <- default_str_map


trtvar <- "TRT01A"
popfl <- "SAFFL"

atcvar <- "CMLVL1"
atclevel <- "1"

combined_colspan_trt <- TRUE

if (combined_colspan_trt == TRUE) {
  # Set up levels and label for the required combined columns
  add_combo <- add_combo_facet(
    "Combined",
    label = "Combined",
    levels = c("Xanomeline High Dose", "Xanomeline Low Dose")
  )

  # choose if any facets need to be removed - e.g remove the combined column for placebo
  rm_combo_from_placebo <- cond_rm_facets(
    facets = "Combined",
    ancestor_pos = NA,
    value = " ",
    split = "colspan_trt"
  )

  mysplit <- make_split_fun(post = list(add_combo, rm_combo_from_placebo))
}

# Process Data:

adsl <- pharmaverseadamjnj::adsl %>%
  filter(!!rlang::sym(popfl) == "Y") %>%
  select(USUBJID, all_of(trtvar), all_of(popfl))

adcm <- pharmaverseadamjnj::adcm %>%
  filter(PREFL == "Y") %>%
  select(USUBJID, PREFL, all_of(atcvar), CMBASPRF)

# Convert medications to sentence case
adcm[[atcvar]] <- as.factor(stringr::str_to_sentence(adcm[[atcvar]]))
adcm$CMBASPRF <- as.factor(stringr::str_to_sentence(adcm$CMBASPRF))

adsl$colspan_trt <- factor(
  ifelse(adsl[[trtvar]] == "Placebo", " ", "Active Study Agent"),
  levels = c("Active Study Agent", " ")
)

# join data together
cm <- adcm %>% inner_join(., adsl, by = c("USUBJID"))

if (length(adcm$PREFL) == 0) {
  cm <- adcm %>% right_join(., adsl, by = c("USUBJID"))
}

colspan_trt_map <- create_colspan_map(
  adsl,
  non_active_grp = "Placebo",
  non_active_grp_span_lbl = " ",
  active_grp_span_lbl = "Active Study Agent",
  colspan_var = "colspan_trt",
  trt_var = trtvar
)

# Define layout and build table:

extra_args_1 <- list(.stats = "count_unique_fraction")

lyt <- rtables::basic_table(
  top_level_section_div = " ",
  show_colcounts = TRUE,
  colcount_format = "N=xx"
) %>%
  split_cols_by(
    "colspan_trt",
    split_fun = trim_levels_to_map(map = colspan_trt_map)
  )

if (combined_colspan_trt == TRUE) {
  lyt <- lyt %>%
    split_cols_by(trtvar, split_fun = mysplit)
} else {
  lyt <- lyt %>%
    split_cols_by(trtvar)
}

lyt <- lyt %>%
  add_overall_col("Total") %>%
  analyze(
    "PREFL",
    afun = a_freq_j,
    extra_args = append(
      extra_args_1,
      list(label = "Subjects with >=1 prior medication")
    )
  ) %>%
  split_rows_by(
    atcvar,
    child_labels = "hidden",
    split_label = paste0("ATC Level ", atclevel),
    label_pos = "topleft",
    split_fun = trim_levels_in_group("CMBASPRF"),
    section_div = c(" "),
    indent_mod = 0L
  ) %>%
  summarize_row_groups(atcvar, cfun = a_freq_j, extra_args = extra_args_1) %>%
  analyze("CMBASPRF", afun = a_freq_j, extra_args = (extra_args_1)) %>%
  append_topleft("  Base Preferred Term")

result <- build_table(lyt, cm, alt_counts_df = adsl)

# If there is no data remove top row and display "No data to display" text
if (length(adcm$PREFL) == 0) {
  result <- safe_prune_table(
    result,
    prune_func = remove_rows(
      removerowtext = "Subjects with >=1 prior medication"
    )
  )
}

# Post-Processing step to sort by descending count on total column:

if (length(adcm$PREFL) != 0) {
  result <- sort_at_path(
    result,
    c("root", atcvar),
    scorefun = jj_complex_scorefun(colpath = "Total")
  )
  result <- sort_at_path(
    result,
    c("root", atcvar, "*", "CMBASPRF"),
    scorefun = jj_complex_scorefun(colpath = "Total")
  )
}

# Add titles and footnotes:

result <- set_titles(result, tab_titles)

# Convert to tbl file and output table

tt_to_tlgrtf(string_map = string_map, tt = result, file = fileid, orientation = "landscape")
```
```{r result1, echo=FALSE, message=FALSE, warning=FALSE, test = list(result_v1 = "result")}
tt_to_flextable_j(result, tblid, string_map = string_map) 
```

[Download RTF file](`r paste0(tolower(tblid), '.rtf')`)
::::

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