Patient Profile Module
mod_patient_profile.Rd
mod_patient_profile
is a DaVinci Shiny module that displays patient information on a subject-level basis. It
consists of three sections: summary, listings and plots.
The
summary
section shows visit-independent demographic information.The
listings
section offers listings for visit-dependent information.The
plots
section displays charts for events that happen over a span of time (adverse events, concomitant medications, ...) or line plots of point-like events (laboratory values, vital sign measurements).
Show/hide usage example
What follows is a sample call to the mod_patient_profile function.
See the main article of this package for a tutorial on how to parameterize it.
dv.papo::mod_patient_profile(
module_id = "papo",
subject_level_dataset_name = "adsl",
subjid_var = "USUBJID",
summary = list(
vars = c("SUBJID", "SITEID", "ARM", "TRTSDT", "TRTEDT", "AGE", "RACE", "SEX", "BMIBL"),
column_count = 3L
),
listings = list(
"Concomitant Medication" = list(
dataset = "cm"
),
"Adverse Events" = list(
dataset = "adae",
default_vars = c("ASTDT", "ASTDY", "AENDT", "AENDY", "AEDECOD", "AESEV")
)
),
plots = list(
timeline_info = c(trt_start_date = "TRTSDT", trt_end_date = "TRTEDT"),
range_plots = list(
"Concomitant Medication" = list(
dataset = "cm",
vars = c(
start_date = "CMSTDT", end_date = "CMENDT",
decode = "CMDECOD", grading = "CMDECOD"
),
tooltip = c()
),
"Adverse Events" = list(
dataset = "adae",
vars = c(
start_date = "ASTDT", end_date = "AENDT", decode = "AEDECOD",
grading = "AESEV", serious_ae = "AESER"
),
tooltip = c("AE Start Day: " = "ASTDY", "AE End Day: " = "AENDY")
)
),
value_plots = list(
"Lab Values" = list(
dataset = "lb",
vars = c(
analysis_param = "PARAM", analysis_val = "AVAL", analysis_date = "ADT",
analysis_indicator = "LBNRIND", range_low_limit = "A1LO", range_high_limit = "A1HI"
),
tooltip = c()
)
),
vline_vars = c(
"Informed Consent Date" = "RFICDT"
)
)
)
Usage
mod_patient_profile(
module_id = "",
subject_level_dataset_name = NULL,
subjid_var = NULL,
sender_ids = NULL,
summary = NULL,
listings = NULL,
plots = NULL
)
Arguments
- module_id
[character]
Unique Shiny module identifier.- subject_level_dataset_name
[character]
Subject-level dataset name.- subjid_var
[character]
Unique subject identifier column.- sender_ids
[character(n)]
(optional) Identifiers of modules allowed to request the display of target patient IDs.- summary
[list]
(optional) Subject-level summary section. Composed of:vars
[character(n)]
Values to display in the summary section. Indexes into datasetsubject_level_dataset_name
.column_count
[integer]
Column count for the summary section.
- listings
[list(n)]
(optional) Listings section. Composed of:dataset
[character]
Dataset name.default_vars
[character(n)]
(optional) Default columns to display. If not specified, the first six columns are selected by default. Indexes into datasetdataset
.
- plots
[list]
(optional) Plot section. Composed of:timeline_info
[list]
Start and end study dates. Composed of:icf_date
[character]
(optional) Informed Consent Form signing Date. Indexes into datasetsubject_level_dataset_name
. Expects[Date|POSIXt]
values.trt_start_date
[character]
Treatment Start Date, used also as Day 1 Reference Date. Indexes into datasetsubject_level_dataset_name
. Expects[Date|POSIXt]
values.trt_end_date
[character]
Treatment End Date. Indexes into datasetsubject_level_dataset_name
. Expects[Date|POSIXt]
values.part_end_date
[character]
(optional) Participation End Date. Indexes into datasetsubject_level_dataset_name
. Expects[Date|POSIXt]
values.
range_plots
[list(n)]
Plots for range-like events (adverse events, concomitant medications, ...). Composed of:dataset
[character]
Dataset name.vars
[list]
Variables of interest for the event. Composed of:start_date
[character]
Start date. Indexes into datasetdataset
. Expects[Date|POSIXt]
values.end_date
[character]
End date. Indexes into datasetdataset
. Expects[Date|POSIXt]
values.decode
[character]
Descriptive event label. Indexes into datasetdataset
. Expects[character|factor]
values.grading
[character]
(optional) Degree of the event, used for color-coding the plot. Indexes into datasetdataset
. Expects[character|factor]
values.serious_ae
[character]
(optional) Marker of event seriousness, usually reserved for adverse event datasets. Indexes into datasetdataset
. Expects[logical|"Y"/"N"]
values.
tooltip
[character(n)]
Block of text to display as hover information over the left edge of each range. The names of this list are included as literal text and honor three basic HTML formatting elements:<b>
,<i>
,<br>
). The columns the values refer to are populated with the value on the dataset relevant to any given row. Indexes into datasetdataset
.
value_plots
[list(n)]
Plots for value-like (lab measurements, vital signs, ...) traces. Composed of:dataset
[character]
Dataset name.vars
[list]
Variables of interest for the trace. Composed of:analysis_param
[character]
Parameter. Indexes into datasetdataset
. Expects[character|factor]
values.analysis_val
[character]
Value. Indexes into datasetdataset
. Expects[numeric]
values.analysis_date
[character]
Date. Indexes into datasetdataset
. Expects[Date|POSIXt]
values.analysis_indicator
[character]
(optional) Analysis reference range indicator. Indexes into datasetdataset
. Expects[character|factor]
values.range_low_limit
[character]
(optional) Lower limit of the reference range. Indexes into datasetdataset
. Expects[numeric]
values.range_high_limit
[character]
(optional) Upper limit of the reference range. Indexes into datasetdataset
. Expects[numeric]
values.summary_stats
[character]
(optional) Additional value column for summary statistics. Indexes into datasetdataset
. Expects[numeric]
values.
tooltip
[character(n)]
Block of text to display as hover information over each point of the trace. The names of this list are included as literal text and honor three basic HTML formatting elements:<b>
,<i>
,<br>
). The columns the values refer to are populated with the value on the dataset relevant to any given row. Indexes into datasetdataset
.
vline_vars
[character(n)]
Place vertical dashed lines on days indicated by this dataset columns. Indexes into datasetsubject_level_dataset_name
. Expects[integer|Date|POSIXt]
values.vline_day_numbers
[integer(n)]
(optional) Place vertical dashed lines on days indicated by this parameter. Represents a CDISC (non-zero) Study Day.palette
[character(n)]
(optional) If a name on this list matches the text on a plot element, the associated color will be applied to that element. This mapping takes precedence over the built-in palette. Contains either an HTML (#xxxxxx) or an R color.