R/covican.R

In REDCapDM: 'REDCap' Data Management

#' Subset of the COVICAN's database
#'
#' A random sample of the COVICAN study. An international, multicentre cohort study of cancer patients with COVID-19 to describe the epidemiology, risk factors, and clinical outcomes of co-infections and superinfections in onco-hematological patients with COVID-19.
#'
#' @docType data
#' @keywords datasets
#' @usage data(covican)
#'
#' @note List containing three dataframes: the first one with the data, the second one with the dictionary (`codebook`) of the REDCap project and the final one with the instrument-event mappings of the REDCap project.
#'
#' @format A data frame with 342 rows and 56 columns
#'  \describe{
#'   \item{record_id:}{Identifier of each record. This information does not match the real data.}
#'   \item{redcap_event_name:}{Auto-generated name of the events}
#'   \item{redcap_data_access_group:}{Auto-generated name of each center. This information does not match the real data.}
#'   \item{inc_1:}{Inclusion criteria of 'Patients older than 18 years' (0 = No ; 1 = Yes)}
#'   \item{inc_2:}{Inclusion criteria of 'Cancer patients' (0 = No ; 1 = Yes)}
#'   \item{inc_3:}{Inclusion criteria of 'Diagnosed of COVID-19' (0 = No ; 1 = Yes)}
#'   \item{exc_1:}{Exclusion criteria of 'Solid tumour remission >1 year' (0 = No ; 1 = Yes)}
#'   \item{screening_fail_crit:}{Indicator of non-compliance with inclusion and exclusion criteria (0 = compliance ; 1 = non-compliance)}
#'   \item{d_birth:}{Date of birth (y-m-d). This date does not correspond to the original.}
#'   \item{d_admission:}{Date of first visit (y-m-d). This date does not correspond to the original.}
#'   \item{age:}{Age in years}
#'   \item{dm:}{Indicator of diabetes (0 = No ; 1 = Yes)}
#'   \item{type_dm:}{Type of diabetes (1 = No complications ; 2 = End-organ diabetes-related disease)}
#'   \item{copd:}{Indicator of chronic obstructive pulmonary disease (0 = No ; 1 = Yes)}
#'   \item{fio2:}{Fraction of inspired oxygen in percentage}
#'   \item{available_analytics:}{Indicator of blood test available (0 = No ; 1 = Yes)}
#'   \item{potassium:}{Potassium in mmol/L}
#'   \item{resp_rate:}{Respiratory rate in bpm}
#'   \item{leuk_lymph:}{Indicator of leukemia or lymphoma (0 = No ; 1 = Yes)}
#'   \item{acute_leuk:}{Indicator of acute leukemia (0 = No ; 1 = Yes)}
#'   \item{type_underlying_disease[...]:}{Checkbox with the type of underlying disease (0 = Haematological cancer ; 1 = Solid tumour)}
#'   \item{underlying_disease_hemato[...]:}{Checkbox with the type of underlying disease (1 = Acute myeloid leukemia ; 2 = 	Myelodysplastic syndrome ; 3 = Chronic myeloid leukaemia ; 4 = Acute lymphoblastic leukaemia ; 5 = 	Hodgkin lymphoma ; 6 = Non Hodgkin lymphoma ; 7 = Multiple myeloma ; 8 = Myelofibrosis ; 9 = Aplastic anaemia ; 10 = Chronic lymphocytic leukaemia ; 11 = Amyloidosis ; 12 = Other)}
#'   \item{urine_culture:}{Indicator of urine culture: (0 = Not done ; 1 = Done)}
#'   \item{[...].factor:}{Labels of the different variables}
#' }
#'
#' @references
#' Gudiol, C., Durà-Miralles, X., Aguilar-Company, J., Hernández-Jiménez, P., Martínez-Cutillas, M., Fernandez-Avilés, F., Machado, M., Vázquez, L., Martín-Dávila, P., de Castro, N., Abdala, E., Sorli, L., Andermann, T. M., Márquez-Gómez, I., Morales, H., Gabilán, F., Ayaz, C. M., Kayaaslan, B., Aguilar-Guisado, M., Herrera, F. Royo-Cebrecos C, Peghin M, González-Rico C, Goikoetxea J, Salgueira S, Silva-Pinto A, Gutiérrez-Gutiérrez B, Cuellar S, Haidar G, Maluquer C, Marin M, Pallarès N, Carratalà J. (2021). Co-infections and superinfections complicating COVID-19 in cancer patients: A multicentre, international study. The Journal of infection, 83(3), 306–313. https://doi.org/10.1016/j.jinf.2021.07.014
#'
"covican"