Calculate BOR

The function aggregate_recist_rates() creates a summary table of recist for each possible response. The resulting dataframe can be piped to as_flextable() to get a nicely formatted flextable.

Usage

aggregate_recist_rates(data, ..., derived_endpoints = c("ORR", "CBR", "DCR"))

# S3 method for class 'aggregate_recist_rates'
as_flextable(x, ...)

Arguments

data

A dataset containing longitudinal RECIST data in long format.

...

unused

derived_endpoints

Character; Derived endpoints to compute from BOR. One or several of c("ORR", "CBR", "DCR"). See vignette("BOR") for endpoint definitions.

x

a dataframe, resulting of aggregate_recist_rates()

Value

a dataframe (aggregate_recist_rates()) or a flextable (as_flextable()).

a formatted flextable

Examples

recist = grstat_example()$recist
recist %>%
 calc_best_response(rc_resp = "rcresp", rc_date = "rcdt",
                    subjid = "subjid", rc_sum = "rctlsum", confirmed = FALSE) %>%
 aggregate_recist_rates(derived_endpoints=c("ORR", "CBR", "DCR")) %>%
 as_flextable()
#> Warning: Function `calc_best_response()` (`?grstat::calc_best_response()`) is not yet
#> validated and may produce incorrect results.
#> ! Always double-check the results using your own code.
#> ℹ Please send your feedback to the grstat team.
#> This warning is displayed once every 8 hours.
#> Warning: Target Lesions Length Sum is missing at baseline. (2 patients: #72 and #193)
Unconfirmed Best Response during treatment
N=200
%
IC 95%*
Complete response
98
49.0
[41.9;56.1]
Partial response
27
13.5
[9.1;19]
Stable disease
16
8.0
[4.6;12.7]
Progressive disease
59
29.5
[23.3;36.3]
Not evaluable
0
0.0
[0;1.8]
Objective Response Rate (ORR)ORR
125
62.5
[55.4;69.2]
Clinical Benefit Rate (CBR)CBR
125
62.5
[55.4;69.2]
Disease Control Rate (DCR)DCR
141
70.5
[63.7;76.7]
*Clopper-Pearson (Exact) method was used for confidence interval
ORRORR was defined as the presence of a partial response (PR) or a complete response (CR).
CBRCBR was defined as the presence of a partial response (PR), a complete response (CR), or a stable disease (SD) lasting at least six months.
DCRDCR was defined as the presence of a partial response (PR), a complete response (CR), or a stable disease (SD).
#It is also possible to use the confirmation method for the ORR
recist %>%
 calc_best_response(rc_resp = "rcresp", rc_date = "rcdt",
                    subjid = "subjid", rc_sum = "rctlsum", confirmed = TRUE) %>%
 aggregate_recist_rates(derived_endpoints=c("ORR")) %>%
 as_flextable()
#> Warning: Target Lesions Length Sum is missing at baseline. (2 patients: #72 and #193)
Confirmed Best Response during treatment**
N=200
%
IC 95%*
Complete response
83
41.5
[34.6;48.7]
Partial response
18
9.0
[5.4;13.9]
Stable disease
40
20.0
[14.7;26.2]
Progressive disease
59
29.5
[23.3;36.3]
Not evaluable
0
0.0
[0;1.8]
Objective Response Rate (ORR)ORR
101
50.5
[43.4;57.6]
*Clopper-Pearson (Exact) method was used for confidence interval
**For CR & PR, confirmation of response had to be be demonstrated with an assessment 4 weeks or later from the initial response for response.
ORRORR was defined as the presence of a partial response (PR) or a complete response (CR).