assess_increased_doses {allMT} | R Documentation |
Analyze physicians' compliance to dosing guidelines: INCREASE DOSE
Description
Evaluate number of times blood counts did not support physicians' INCREASE DOSE decision
Usage
assess_increased_doses(
input_files_path,
anc_threshold = NA,
plt_threshold = NA,
hb_threshold = NA,
escalation_factor,
tolerated_dose_duration
)
Arguments
input_files_path |
path to a file or a folder with MT csv files (in quotes). |
anc_threshold |
Absolute neutrophil count (ANC) value threshold above which doses should be increased. NOTE: Ensure that the threshold value is represented with same unit as of the input ANC data. |
plt_threshold |
Platelet (PLT) value threshold above which doses should be increased. NOTE: Ensure that the threshold value is represented with same unit as of the input PLT data. |
hb_threshold |
Hemoglobin (HB) value threshold below which doses should be increased. NOTE: Ensure that the threshold value is represented with same unit as of the input Hb data. |
escalation_factor |
Percentage of increase from previous tolerated dose to be considered as "increased" dose. |
tolerated_dose_duration |
Number of weeks with ANC, PLT, and Hb values consistently above threshold with same dose prescription, following which dose should be increased. |
Value
Returns a list with (1) the 'INCREASE DOSE' analysis for each patient as listed below, (2) analysis summary as dataframe (3) analysis summary as HTML table in viewer.
Pat ID
Number of decisions where the physician increased dose (a)
Number of times blood counts did not support dose suspension (b)
Discordance (%) = (
1 - (b/a)*100)
Note
Atleast one of the threshold parameters (anc_threshold, plt_threshold, hb_threshold) must be provided to carry out analysis. Missing threshold parameter will not be considered.
If the function is used for cohort analysis then a and b will be represented as median and interquartile range (IQR) (25%-75%). The median and IQR is rounded off to upper integer value if decimal value is greater or equal to 0.5, else to lower integer value Example 1.4->1 and 3.75->4
User may save the result as a list, if required, to analyze each patient separately - use 1st element of list. Please refer to examples from assess_anemia
See Also
time_to_first_dose_increase()
, assess_reduced_doses()
, assess_stop_doses()
Examples
cohort_path = paste0(system.file("extdata/processed_data/", package = "allMT"), "/")
assess_increased_doses(input_files_path = cohort_path, anc_threshold = 0.75,
plt_threshold = 75, hb_threshold = 8,
escalation_factor = 25, tolerated_dose_duration = 8)
pat_data = system.file("extdata/processed_data/", "UPN_914.csv", package = "allMT")
assess_increased_doses (input_files_path = pat_data, anc_threshold = 0.75,
plt_threshold = 75, hb_threshold = 8,
escalation_factor = 15, tolerated_dose_duration = 6)
assess_increased_doses(input_files_path = cohort_path,
anc_threshold = 0.7, plt_threshold = 60)