#' @export
nkbc09e <- list(
code = "nkbc09e",
kortnamn = "nkbc_pop_tnm_n_09e",
lab = c(
sv = "Spridning till lymfkörtlarna vid diagnos",
en = "Spread to lymph nodes at diagnosis"
),
lab_short = c(
sv = "Spridning till lymfkörtlarna",
en = "Spread to lymph nodes"
),
pop = c(
sv = "alla anmälda fall",
en = "all reported cases"
),
filter_pop = function(x, ...) {
x
},
mutate_outcome = function(x, ...) {
dplyr::mutate(x,
outcome1 = d_nstad,
outcome1_en = d_nstad_en,
outcome2 = dplyr::case_when(
a_tnm_nklass_Varde %in% 0 ~ TRUE,
a_tnm_nklass_Varde %in% c(10, 20, 30) ~ FALSE,
a_tnm_nklass_Varde %in% 40 ~ NA
),
outcome2_en = outcome2,
outcome3 = !outcome2,
outcome3_en = outcome3
)
},
outcome = c("outcome1", "outcome2", "outcome3"),
outcome_title = list(
sv = c(
"Spridning till lymfkörtlarna, kategorier",
"Ingen spridning till lymfkörtlarna (cN-)",
"Spridning till lymfkörtlarna (cN+)"
),
en = c(
"Spread to lymph nodes, categories",
"No spread to lymph nodes (cN-)",
"Spread to lymph nodes (cN+)"
)
),
sjhkod_var = "a_inr_sjhkod",
other_vars = c("a_pat_alder", "d_screening", "d_invasiv"),
om_indikatorn = list(
sv = paste(
"Kännedom om tumörspridning till armhålans lymfkörtlar ger vägledning för behandling och information om prognos.",
"Före kirurgi grundas bedömningen på bilddiagnostik, klinisk undersökning och vävnadsprov/cellprov."
),
en = paste(
"Knowledge of tumour spread to the axillary lymph nodes provides guidance for treatment decisions and information on prognosis.",
"The assessment before surgery is based on imaging, clinical examination and tissue/cell samples."
)
),
vid_tolkning = NULL,
teknisk_beskrivning = NULL
)
class(nkbc09e) <- "nkbcind"
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