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CMT02_PT Table 1 (Default) Concomitant Medications by Preferred Name.

cmt02_pt.Rd

A concomitant medication table with the number of subjects and the total number of treatments by medication name sorted by frequencies.

Usage

cmt02_pt_main(
  adam_db,
  arm_var = "ARM",
  incl_n_treatment = TRUE,
  row_split_var = NULL,
  medname_var = "CMDECOD",
  lbl_overall = NULL,
  ...
)

cmt02_pt_pre(adam_db, ...)

cmt02_pt_post(
  tlg,
  prune_0 = TRUE,
  sort_by_freq = FALSE,
  row_split_var = NULL,
  medname_var = "CMDECOD",
  ...
)

cmt02_pt

Format

An object of class chevron_t of length 1.

Source

cmt01a.R

Arguments

adam_db

(list of data.frames) object containing the ADaM datasets

arm_var

(string) variable used for column splitting

incl_n_treatment

(flag) include total number of treatments per medication.

row_split_var

(character) the variable defining the medication category. By default ATC2.

medname_var

(string) variable name of medical treatment name.

lbl_overall

(string) label used for overall column, if set to NULL the overall column is omitted

...

not used.

tlg

(TableTree, Listing or ggplot) object typically produced by a main function.

prune_0

(flag) remove 0 count rows

sort_by_freq

(flag) whether to sort medication class by frequency.

Details

  • Data should be filtered for concomitant medication. (ATIREL == "CONCOMITANT").

  • Numbers represent absolute numbers of subjects and fraction of N, or absolute numbers when specified.

  • Remove zero-count rows unless overridden with prune_0 = FALSE.

  • Split columns by arm.

  • Does not include a total column by default.

  • Sort by medication class alphabetically and within medication class by decreasing total number of patients with the specific medication.

Functions

  • cmt02_pt_main(): Main TLG function

  • cmt02_pt_pre(): Preprocessing

  • cmt02_pt_post(): Postprocessing

Note

  • adam_db object must contain an adcm table with the columns specified in row_split_var and medname_var as well as "CMSEQ".

Examples

run(cmt02_pt, syn_data)
#>   Other Treatment                                         A: Drug X    B: Placebo    C: Combination
#>                                                            (N=134)       (N=134)        (N=132)    
#>   —————————————————————————————————————————————————————————————————————————————————————————————————
#>   Total number of patients with at least one treatment   122 (91.0%)   123 (91.8%)    120 (90.9%)  
#>   Total number of treatments                                 609           622            703      
#>   medname A_1/3                                          54 (40.3%)    49 (36.6%)      69 (52.3%)  
#>   medname C_2/2                                          52 (38.8%)    58 (43.3%)      60 (45.5%)  
#>   medname B_1/4                                          52 (38.8%)    57 (42.5%)      59 (44.7%)  
#>   medname B_2/4                                          52 (38.8%)    55 (41.0%)      56 (42.4%)  
#>   medname A_2/3                                          53 (39.6%)    50 (37.3%)      56 (42.4%)  
#>   medname C_1/2                                          51 (38.1%)    50 (37.3%)      56 (42.4%)  
#>   medname B_4/4                                          50 (37.3%)    45 (33.6%)      55 (41.7%)  
#>   medname A_3/3                                          45 (33.6%)    54 (40.3%)      48 (36.4%)  
#>   medname B_3/4                                          47 (35.1%)    47 (35.1%)      52 (39.4%)