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  3. TPK03
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      • TSFAE01A
      • TSFAE01B
      • TSFAE02
      • TSFAE02A
      • TSFAE03
      • TSFAE03A
      • TSFAE04
      • TSFAE04A
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      • TSFAE06A
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      • TSFAE07B
      • TSFAE08
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      • TSFAE10
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      • TSFAE13
      • TSFAE14
      • TSFAE15
      • TSFAE16
      • TSFAE17A
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      • TSFAE17C
      • TSFAE17D
      • TSFAE19A
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      • TSFAE19D
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      • 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
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      • 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
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      • 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. Pharmacokinetics
  3. TPK03

TPK03

Subjects With Matrix Active Study Agent/Analyte Concentrations Below the Lowest Quantification Level (LLOQ/LLOQxMRD and units) Over Time


Output

  • Preview
Code
# Program Name:              tpk03

# Prep environment:

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

# Define script level parameters:

tblid <- "TPK03"
fileid <- tblid
titles <- get_titles_from_file(input_path = '../../_data/', tblid)
string_map <- default_str_map
popfl <- "PKFL"
trtvar <- "TRT01A"

# Process data:

adsl <- pharmaverseadamjnj::adsl |>
  filter(.data[[popfl]] == "Y") |>
  select(USUBJID, all_of(trtvar), PKFL) |>
  
  # Drop the control group
  filter(.data[[trtvar]] != "Placebo") |>
  mutate({{ trtvar }} := fct_drop(.data[[trtvar]])) |>
  
  mutate(colspan_trt = "Active Study Agent")

adpc <- pharmaverseadamjnj::adpc |>
  filter(PARAMCD == "XAN") |>
  select(USUBJID, all_of(trtvar), AVISIT, ATPT, CRIT1FL) |>
  inner_join(adsl) |>
  
  # Concatenate and reorder time points
  mutate(AVISIT_ATPT = factor(paste(AVISIT, ATPT, sep = " - "), levels = c(
    "Day 1 - Pre-dose",
    "Day 1 - 5 Min Post-dose",
    "Day 1 - 30 Min Post-dose",
    "Day 1 - 1h Post-dose",
    "Day 1 - 1.5h Post-dose",
    "Day 1 - 2h Post-dose",
    "Day 1 - 4h Post-dose",
    "Day 1 - 0-6h Post-dose",
    "Day 1 - 6h Post-dose",
    "Day 1 - 8h Post-dose",
    "Day 1 - 6-12h Post-dose",
    "Day 1 - 12h Post-dose",
    "Day 1 - 16h Post-dose",
    "Day 1 - 12-24h Post-dose",
    "Day 2 - 24h Post-dose",
    "Day 2 - Pre-dose",
    "Day 2 - 36h Post-dose",
    "Day 2 - 24-48h Post-dose",
    "Day 3 - 48h Post-dose", 
    "Day 3 - Pre-dose"
  )))

# Define layout and build table:

lyt <- basic_table() |>
  split_cols_by(
    var = "colspan_trt",
    split_fun = drop_split_levels
  ) |>
  
  split_cols_by(
    var = trtvar,
    show_colcounts = TRUE,
    colcount_format = "N=xx",
    split_fun = add_overall_level("Combined", first = FALSE)
  ) |>
  
  split_rows_by(
    var = "AVISIT_ATPT",
    split_label = "Time Point",
    label_pos = "topleft",
    section_div = " "
  ) |>
  
  analyze(
    vars = "PKFL",
    show_labels = "hidden",
    afun = a_freq_j,
    extra_args = list(
      val = "Y",
      label = "N",
      .stats = "count_unique"
    )
  ) |>
  
  analyze(
    vars = "CRIT1FL",
    show_labels = "hidden",
    afun = a_freq_j,
    extra_args = list(
      val = "Y",
      label = "Number of subjects with values below LLOQxMRD, n (%)",
      .stats = "count_unique_fraction",
      .indent_mods = 1
    )
  )

result <- build_table(lyt, df = adpc, alt_counts_df = adsl)

# Add titles and footnotes:

result <- set_titles(result, titles)

# Convert to tbl file and output table:

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

TPK03: Subjects With [Matrix] [Active Study Agent/Analyte] Concentrations Below the Lowest Quantification Level ([LLOQ/LLOQxMRD and units]) Over Time; Pharmacokinetics Analysis Set (Study jjcs - core)

Active Study Agent

Xanomeline High Dose

Xanomeline Low Dose

Combined

Time Point

N=72

N=96

N=168

Day 1 - Pre-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

72 (100.0%)

96 (100.0%)

168 (100.0%)

Day 1 - 5 Min Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 1 - 30 Min Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 1 - 1h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 1 - 1.5h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 1 - 2h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 1 - 4h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 1 - 0-6h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 1 - 6h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 1 - 8h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 1 - 6-12h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 1 - 12h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 1 - 16h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 1 - 12-24h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 2 - 24h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 2 - Pre-dose

N

72

94

166

Number of subjects with
 values below LLOQxMRD,
 n (%)

0

0

0

Day 2 - 36h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

72 (100.0%)

96 (100.0%)

168 (100.0%)

Day 2 - 24-48h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

51 (70.8%)

76 (79.2%)

127 (75.6%)

Day 3 - 48h Post-dose

N

72

96

168

Number of subjects with
 values below LLOQxMRD,
 n (%)

72 (100.0%)

96 (100.0%)

168 (100.0%)

Day 3 - Pre-dose

N

72

92

164

Number of subjects with
 values below LLOQxMRD,
 n (%)

72 (100.0%)

92 (95.8%)

164 (97.6%)

Key: MRD=minimum required dilution

Download RTF file

TPK02
TSICM01
Source Code
---
title: TPK03
subtitle: Subjects With Matrix Active Study Agent/Analyte Concentrations Below the Lowest Quantification Level (LLOQ/LLOQxMRD and units) Over Time
---

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

{{< 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:              tpk03

# Prep environment:

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

# Define script level parameters:

tblid <- "TPK03"
fileid <- tblid
titles <- get_titles_from_file(input_path = '../../_data/', tblid)
string_map <- default_str_map
popfl <- "PKFL"
trtvar <- "TRT01A"

# Process data:

adsl <- pharmaverseadamjnj::adsl |>
  filter(.data[[popfl]] == "Y") |>
  select(USUBJID, all_of(trtvar), PKFL) |>
  
  # Drop the control group
  filter(.data[[trtvar]] != "Placebo") |>
  mutate({{ trtvar }} := fct_drop(.data[[trtvar]])) |>
  
  mutate(colspan_trt = "Active Study Agent")

adpc <- pharmaverseadamjnj::adpc |>
  filter(PARAMCD == "XAN") |>
  select(USUBJID, all_of(trtvar), AVISIT, ATPT, CRIT1FL) |>
  inner_join(adsl) |>
  
  # Concatenate and reorder time points
  mutate(AVISIT_ATPT = factor(paste(AVISIT, ATPT, sep = " - "), levels = c(
    "Day 1 - Pre-dose",
    "Day 1 - 5 Min Post-dose",
    "Day 1 - 30 Min Post-dose",
    "Day 1 - 1h Post-dose",
    "Day 1 - 1.5h Post-dose",
    "Day 1 - 2h Post-dose",
    "Day 1 - 4h Post-dose",
    "Day 1 - 0-6h Post-dose",
    "Day 1 - 6h Post-dose",
    "Day 1 - 8h Post-dose",
    "Day 1 - 6-12h Post-dose",
    "Day 1 - 12h Post-dose",
    "Day 1 - 16h Post-dose",
    "Day 1 - 12-24h Post-dose",
    "Day 2 - 24h Post-dose",
    "Day 2 - Pre-dose",
    "Day 2 - 36h Post-dose",
    "Day 2 - 24-48h Post-dose",
    "Day 3 - 48h Post-dose", 
    "Day 3 - Pre-dose"
  )))

# Define layout and build table:

lyt <- basic_table() |>
  split_cols_by(
    var = "colspan_trt",
    split_fun = drop_split_levels
  ) |>
  
  split_cols_by(
    var = trtvar,
    show_colcounts = TRUE,
    colcount_format = "N=xx",
    split_fun = add_overall_level("Combined", first = FALSE)
  ) |>
  
  split_rows_by(
    var = "AVISIT_ATPT",
    split_label = "Time Point",
    label_pos = "topleft",
    section_div = " "
  ) |>
  
  analyze(
    vars = "PKFL",
    show_labels = "hidden",
    afun = a_freq_j,
    extra_args = list(
      val = "Y",
      label = "N",
      .stats = "count_unique"
    )
  ) |>
  
  analyze(
    vars = "CRIT1FL",
    show_labels = "hidden",
    afun = a_freq_j,
    extra_args = list(
      val = "Y",
      label = "Number of subjects with values below LLOQxMRD, n (%)",
      .stats = "count_unique_fraction",
      .indent_mods = 1
    )
  )

result <- build_table(lyt, df = adpc, alt_counts_df = adsl)

# Add titles and footnotes:

result <- set_titles(result, titles)

# Convert to tbl file and output table:

tt_to_tlgrtf(string_map = string_map, tt = result, file = fileid, orientation = "portrait")
```
```{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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