TL Catalog
  1. Tables
  2. Adverse Events
  3. TSFAE24D
  • 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

On this page

  • Output
  • Edit this page
  • Report an issue
  1. Tables
  2. Adverse Events
  3. TSFAE24D

TSFAE24D

Subjects With Treatment-emergent Adverse Events Toxicity Grade =3 With Frequency =x% in Any Treatment Group by System Organ Class and Preferred Term


Output

  • Preview
Code
# Program Name:              tsfae24d.R

# Prep environment:

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

# Define script level parameters:

tblid <- "TSFAE24d"
fileid <- tblid
popfl <- "SAFFL"
trtvar <- "TRT01A"
tab_titles <- get_titles_from_file(input_path = '../../_data/', tblid)
string_map <- default_str_map

# Process data:

adsl <- pharmaverseadamjnj::adsl %>%
  filter(!!rlang::sym(popfl) == "Y") %>%
  create_colspan_var(
    non_active_grp = "Placebo",
    non_active_grp_span_lbl = " ",
    active_grp_span_lbl = "Active Study Agent",
    colspan_var = "colspan_trt",
    trt_var = trtvar
  ) %>%
  mutate(COLSPAN_TOX = "AEs") %>%
  select(
    USUBJID,
    !!rlang::sym(popfl),
    !!rlang::sym(trtvar),
    colspan_trt,
    COLSPAN_TOX
  )

adae <- pharmaverseadamjnj::adae %>%
  filter(TRTEMFL == "Y") %>%
  mutate(TOXGE3 = ifelse(AETOXGRN == 3 | AETOXGRN > 3, ">= 3", "< 3")) %>%
  select(USUBJID, TRTEMFL, AEBODSYS, AEDECOD, AETOXGR, TOXGE3)

adae <- inner_join(adae, adsl, by = c("USUBJID"))

# Define layout and build table:

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
)

add_active_combo <- make_split_fun(
  post = list(
    add_combo_facet(
      name = "Combined",
      label = "Combined",
      levels = c("Xanomeline High Dose", "Xanomeline Low Dose")
    ),
    cond_rm_facets(
      facets = "Combined",
      ancestor_pos = NA,
      value = " ",
      split = "colspan_trt"
    )
  )
)

# Create "TOX > 3" facet.
add_tox_levels <- make_split_fun(
  post = list(add_combo_facet(
    name = "TOXGR",
    label = ">= Grade 3 AEs",
    levels = c("AEs")
  ))
)

extra_args1 <- list(
  .stats = c("count_unique_fraction"),
  subcol_split = "TOXGR",
  subcol_var = "TOXGE3",
  subcol_val = ">= 3"
)

lyt <- basic_table(top_level_section_div = " ") %>%
  split_cols_by(
    "colspan_trt",
    split_fun = trim_levels_to_map(map = colspan_trt_map)
  ) %>%
  split_cols_by(
    trtvar,
    split_fun = add_active_combo,
    show_colcounts = TRUE,
    colcount_format = "N=xx"
  ) %>%
  split_cols_by("COLSPAN_TOX", split_fun = add_tox_levels) %>%
  analyze(
    "TRTEMFL",
    nested = FALSE,
    afun = a_freq_subcol_j,
    extra_args = append(
      extra_args1,
      list(
        label = "Subjects with >= 1 AE",
        val = "Y"
      )
    )
  ) %>%
  split_rows_by(
    "AEBODSYS",
    split_label = "System Organ Class",
    label_pos = "topleft",
    split_fun = trim_levels_in_group("AEDECOD"),
    section_div = " ",
    nested = FALSE
  ) %>%
  summarize_row_groups(
    "AEBODSYS",
    cfun = a_freq_subcol_j,
    extra_args = extra_args1
  ) %>%
  analyze("AEDECOD", afun = a_freq_subcol_j, extra_args = extra_args1) %>%
  append_topleft(" Preferred Term, n (%)")

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

# Post-Processing:

result <- result %>%
  sort_at_path(
    path = c("AEBODSYS"),
    scorefun = cont_n_onecol("Active Study Agent.Combined.TOXGR")
  ) %>%
  sort_at_path(
    path = c("AEBODSYS", "*", "AEDECOD"),
    scorefun = score_occurrences_cols("Active Study Agent.Combined.TOXGR")
  )

row_condition <- has_fraction_in_any_col(
  atleast = .02,
  col_names = c(
    "Active Study Agent.Xanomeline High Dose.TOXGR",
    "Active Study Agent.Xanomeline Low Dose.TOXGR",
    "Active Study Agent.Combined.TOXGR",
    " .Placebo.TOXGR"
  )
)

result <- safe_prune_table(result, keep_rows(row_condition))

# 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",
  nosplitin = list(cols = c(trtvar))
)

TSFAE24d: Subjects With Treatment-emergent Adverse Events Toxicity Grade =3 With Frequency =[x]% in [Any Treatment Group] by System Organ Class and Preferred Term; Safety Analysis Set (Study jjcs - core)

Active Study Agent

Xanomeline High Dose

Xanomeline Low Dose

Combined

Placebo

System Organ Class

N=53

N=73

N=126

N=59

Preferred Term, n (%)

AEs

≥ Grade 3 AEs

AEs

≥ Grade 3 AEs

AEs

≥ Grade 3 AEs

AEs

≥ Grade 3 AEs

Subjects with ≥ 1 AE

51 (96.2%)

48 (90.6%)

62 (84.9%)

52 (71.2%)

113 (89.7%)

100 (79.4%)

42 (71.2%)

35 (59.3%)

General disorders and
 administration site conditions

26 (49.1%)

23 (43.4%)

38 (52.1%)

26 (35.6%)

64 (50.8%)

49 (38.9%)

16 (27.1%)

10 (16.9%)

APPLICATION SITE PRURITUS

13 (24.5%)

8 (15.1%)

18 (24.7%)

8 (11.0%)

31 (24.6%)

16 (12.7%)

4 (6.8%)

4 (6.8%)

APPLICATION SITE ERYTHEMA

10 (18.9%)

6 (11.3%)

11 (15.1%)

7 (9.6%)

21 (16.7%)

13 (10.3%)

2 (3.4%)

0

APPLICATION SITE IRRITATION

8 (15.1%)

5 (9.4%)

7 (9.6%)

6 (8.2%)

15 (11.9%)

11 (8.7%)

2 (3.4%)

1 (1.7%)

APPLICATION SITE VESICLES

4 (7.5%)

3 (5.7%)

4 (5.5%)

3 (4.1%)

8 (6.3%)

6 (4.8%)

0

0

APPLICATION SITE DERMATITIS

4 (7.5%)

3 (5.7%)

7 (9.6%)

2 (2.7%)

11 (8.7%)

5 (4.0%)

5 (8.5%)

3 (5.1%)

FATIGUE

5 (9.4%)

2 (3.8%)

5 (6.8%)

3 (4.1%)

10 (7.9%)

5 (4.0%)

0

0

APPLICATION SITE SWELLING

2 (3.8%)

2 (3.8%)

1 (1.4%)

1 (1.4%)

3 (2.4%)

3 (2.4%)

0

0

APPLICATION SITE
 PERSPIRATION

2 (3.8%)

2 (3.8%)

0

0

2 (1.6%)

2 (1.6%)

0

0

OEDEMA PERIPHERAL

1 (1.9%)

1 (1.9%)

1 (1.4%)

0

2 (1.6%)

1 (0.8%)

2 (3.4%)

2 (3.4%)

Skin and subcutaneous tissue
 disorders

34 (64.2%)

21 (39.6%)

28 (38.4%)

18 (24.7%)

62 (49.2%)

39 (31.0%)

16 (27.1%)

8 (13.6%)

PRURITUS

20 (37.7%)

11 (20.8%)

14 (19.2%)

9 (12.3%)

34 (27.0%)

20 (15.9%)

6 (10.2%)

2 (3.4%)

RASH

5 (9.4%)

4 (7.5%)

9 (12.3%)

6 (8.2%)

14 (11.1%)

10 (7.9%)

4 (6.8%)

2 (3.4%)

ERYTHEMA

12 (22.6%)

5 (9.4%)

8 (11.0%)

3 (4.1%)

20 (15.9%)

8 (6.3%)

6 (10.2%)

3 (5.1%)

HYPERHIDROSIS

8 (15.1%)

4 (7.5%)

4 (5.5%)

2 (2.7%)

12 (9.5%)

6 (4.8%)

2 (3.4%)

2 (3.4%)

SKIN IRRITATION

4 (7.5%)

2 (3.8%)

4 (5.5%)

2 (2.7%)

8 (6.3%)

4 (3.2%)

3 (5.1%)

2 (3.4%)

BLISTER

1 (1.9%)

1 (1.9%)

2 (2.7%)

2 (2.7%)

3 (2.4%)

3 (2.4%)

0

0

RASH PRURITIC

2 (3.8%)

2 (3.8%)

1 (1.4%)

1 (1.4%)

3 (2.4%)

3 (2.4%)

0

0

Nervous system disorders

18 (34.0%)

11 (20.8%)

18 (24.7%)

11 (15.1%)

36 (28.6%)

22 (17.5%)

5 (8.5%)

4 (6.8%)

DIZZINESS

8 (15.1%)

4 (7.5%)

8 (11.0%)

3 (4.1%)

16 (12.7%)

7 (5.6%)

0

0

HEADACHE

5 (9.4%)

3 (5.7%)

3 (4.1%)

2 (2.7%)

8 (6.3%)

5 (4.0%)

2 (3.4%)

1 (1.7%)

Gastrointestinal disorders

14 (26.4%)

10 (18.9%)

10 (13.7%)

7 (9.6%)

24 (19.0%)

17 (13.5%)

7 (11.9%)

5 (8.5%)

NAUSEA

5 (9.4%)

3 (5.7%)

2 (2.7%)

2 (2.7%)

7 (5.6%)

5 (4.0%)

0

0

DIARRHOEA

2 (3.8%)

1 (1.9%)

3 (4.1%)

3 (4.1%)

5 (4.0%)

4 (3.2%)

3 (5.1%)

2 (3.4%)

VOMITING

5 (9.4%)

4 (7.5%)

2 (2.7%)

0

7 (5.6%)

4 (3.2%)

0

0

SALIVARY HYPERSECRETION

4 (7.5%)

2 (3.8%)

0

0

4 (3.2%)

2 (1.6%)

0

0

Cardiac disorders

11 (20.8%)

7 (13.2%)

11 (15.1%)

8 (11.0%)

22 (17.5%)

15 (11.9%)

7 (11.9%)

5 (8.5%)

SINUS BRADYCARDIA

7 (13.2%)

4 (7.5%)

4 (5.5%)

1 (1.4%)

11 (8.7%)

5 (4.0%)

0

0

ATRIAL FIBRILLATION

1 (1.9%)

1 (1.9%)

2 (2.7%)

2 (2.7%)

3 (2.4%)

3 (2.4%)

0

0

MYOCARDIAL INFARCTION

3 (5.7%)

0

1 (1.4%)

1 (1.4%)

4 (3.2%)

1 (0.8%)

3 (5.1%)

2 (3.4%)

Infections and infestations

9 (17.0%)

7 (13.2%)

6 (8.2%)

5 (6.8%)

15 (11.9%)

12 (9.5%)

14 (23.7%)

8 (13.6%)

NASOPHARYNGITIS

3 (5.7%)

2 (3.8%)

3 (4.1%)

3 (4.1%)

6 (4.8%)

5 (4.0%)

2 (3.4%)

2 (3.4%)

Respiratory, thoracic and
 mediastinal disorders

7 (13.2%)

5 (9.4%)

6 (8.2%)

4 (5.5%)

13 (10.3%)

9 (7.1%)

5 (8.5%)

4 (6.8%)

COUGH

3 (5.7%)

0

4 (5.5%)

3 (4.1%)

7 (5.6%)

3 (2.4%)

1 (1.7%)

1 (1.7%)

Psychiatric disorders

6 (11.3%)

3 (5.7%)

8 (11.0%)

5 (6.8%)

14 (11.1%)

8 (6.3%)

7 (11.9%)

4 (6.8%)

CONFUSIONAL STATE

1 (1.9%)

0

3 (4.1%)

2 (2.7%)

4 (3.2%)

2 (1.6%)

2 (3.4%)

1 (1.7%)

Musculoskeletal and connective
 tissue disorders

4 (7.5%)

4 (7.5%)

5 (6.8%)

2 (2.7%)

9 (7.1%)

6 (4.8%)

2 (3.4%)

2 (3.4%)

BACK PAIN

2 (3.8%)

2 (3.8%)

1 (1.4%)

0

3 (2.4%)

2 (1.6%)

1 (1.7%)

1 (1.7%)

Note: Subjects are counted only once for any given event, regardless of the number of times they actually experienced the event.

Note: Adverse events are coded using MedDRA version 26.0; toxicity grade is evaluated according to NCI-CTCAE version 5.0..

Download RTF file

TSFAE24C
TSFAE24F
Source Code
---
title: TSFAE24D
subtitle: Subjects With Treatment-emergent Adverse Events Toxicity Grade =3 With Frequency =x% in Any Treatment Group by System Organ Class and Preferred Term
---

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

{{< 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:              tsfae24d.R

# Prep environment:

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

# Define script level parameters:

tblid <- "TSFAE24d"
fileid <- tblid
popfl <- "SAFFL"
trtvar <- "TRT01A"
tab_titles <- get_titles_from_file(input_path = '../../_data/', tblid)
string_map <- default_str_map

# Process data:

adsl <- pharmaverseadamjnj::adsl %>%
  filter(!!rlang::sym(popfl) == "Y") %>%
  create_colspan_var(
    non_active_grp = "Placebo",
    non_active_grp_span_lbl = " ",
    active_grp_span_lbl = "Active Study Agent",
    colspan_var = "colspan_trt",
    trt_var = trtvar
  ) %>%
  mutate(COLSPAN_TOX = "AEs") %>%
  select(
    USUBJID,
    !!rlang::sym(popfl),
    !!rlang::sym(trtvar),
    colspan_trt,
    COLSPAN_TOX
  )

adae <- pharmaverseadamjnj::adae %>%
  filter(TRTEMFL == "Y") %>%
  mutate(TOXGE3 = ifelse(AETOXGRN == 3 | AETOXGRN > 3, ">= 3", "< 3")) %>%
  select(USUBJID, TRTEMFL, AEBODSYS, AEDECOD, AETOXGR, TOXGE3)

adae <- inner_join(adae, adsl, by = c("USUBJID"))

# Define layout and build table:

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
)

add_active_combo <- make_split_fun(
  post = list(
    add_combo_facet(
      name = "Combined",
      label = "Combined",
      levels = c("Xanomeline High Dose", "Xanomeline Low Dose")
    ),
    cond_rm_facets(
      facets = "Combined",
      ancestor_pos = NA,
      value = " ",
      split = "colspan_trt"
    )
  )
)

# Create "TOX > 3" facet.
add_tox_levels <- make_split_fun(
  post = list(add_combo_facet(
    name = "TOXGR",
    label = ">= Grade 3 AEs",
    levels = c("AEs")
  ))
)

extra_args1 <- list(
  .stats = c("count_unique_fraction"),
  subcol_split = "TOXGR",
  subcol_var = "TOXGE3",
  subcol_val = ">= 3"
)

lyt <- basic_table(top_level_section_div = " ") %>%
  split_cols_by(
    "colspan_trt",
    split_fun = trim_levels_to_map(map = colspan_trt_map)
  ) %>%
  split_cols_by(
    trtvar,
    split_fun = add_active_combo,
    show_colcounts = TRUE,
    colcount_format = "N=xx"
  ) %>%
  split_cols_by("COLSPAN_TOX", split_fun = add_tox_levels) %>%
  analyze(
    "TRTEMFL",
    nested = FALSE,
    afun = a_freq_subcol_j,
    extra_args = append(
      extra_args1,
      list(
        label = "Subjects with >= 1 AE",
        val = "Y"
      )
    )
  ) %>%
  split_rows_by(
    "AEBODSYS",
    split_label = "System Organ Class",
    label_pos = "topleft",
    split_fun = trim_levels_in_group("AEDECOD"),
    section_div = " ",
    nested = FALSE
  ) %>%
  summarize_row_groups(
    "AEBODSYS",
    cfun = a_freq_subcol_j,
    extra_args = extra_args1
  ) %>%
  analyze("AEDECOD", afun = a_freq_subcol_j, extra_args = extra_args1) %>%
  append_topleft(" Preferred Term, n (%)")

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

# Post-Processing:

result <- result %>%
  sort_at_path(
    path = c("AEBODSYS"),
    scorefun = cont_n_onecol("Active Study Agent.Combined.TOXGR")
  ) %>%
  sort_at_path(
    path = c("AEBODSYS", "*", "AEDECOD"),
    scorefun = score_occurrences_cols("Active Study Agent.Combined.TOXGR")
  )

row_condition <- has_fraction_in_any_col(
  atleast = .02,
  col_names = c(
    "Active Study Agent.Xanomeline High Dose.TOXGR",
    "Active Study Agent.Xanomeline Low Dose.TOXGR",
    "Active Study Agent.Combined.TOXGR",
    " .Placebo.TOXGR"
  )
)

result <- safe_prune_table(result, keep_rows(row_condition))

# 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",
  nosplitin = list(cols = c(trtvar))
)
```
```{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')`)
::::

Made with ❤️ by the J&J Team

  • Edit this page
  • Report an issue
Cookie Preferences