#' @export
nkbc09h <- list(
code = "nkbc09h",
kortnamn = "nkbc_pop_t_09h",
lab = c(
sv = "Tumörstorlek (operationsuppgifter)",
en = "Tumour size (surgery data)"
),
lab_short = c(
sv = "Tumörstorlek",
en = "Tumour size"
),
pop = c(
sv = "primärt opererade invasiva fall utan fjärrmetastaser vid diagnos",
en = "primarily operated cases without distant metastasis at diagnosis"
),
filter_pop = function(x, ...) {
dplyr::filter(
x,
# Enbart primärt opererade fall
!is.na(op_kir_dat),
d_prim_beh_Varde == 1,
# Enbart fall med invasiv cancer
d_invasiv_Varde == 1,
# Ej fall med fjärrmetastaser vid diagnos
!(a_tnm_mklass_Varde %in% 10)
)
},
mutate_outcome = function(x, ...) {
dplyr::mutate(x,
outcome1 = as.numeric(op_pad_invstl),
outcome2 = d_op_pad_invstl_kat,
outcome2_en = d_op_pad_invstl_kat_en
)
},
outcome = c("outcome1", "outcome2"),
outcome_title = list(
sv = c("Tumörstorlek", "Tumörstorlek, kategorier"),
en = c("Tumour size", "Tumour size, categories")
),
prop_within_unit = c(
sv = "mm",
en = "mm"
),
prop_within_value = 20,
sjhkod_var = "op_inr_sjhkod",
other_vars = c("a_pat_alder", "d_screening", "d_trigrp"),
om_indikatorn = list(
sv = paste(
"Tumörstorlek baserad på mikroskopisk analys av preparat från primär operation, d.v.s. operation utan föregående onkologisk behandling.",
"Uppgiften om tumörstorlek ger prognostisk information inför val av postoperativ onkologisk behandling"
),
en = paste(
"Tumour size based on microscopical analysis after primary surgery, i.e. surgery without prior oncological treatment.",
"Provides prognostic information for the decision of postoperative oncological treatment."
)
),
vid_tolkning = NULL,
teknisk_beskrivning = NULL
)
class(nkbc09h) <- "nkbcind"
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.