*! charon v11.3 A.Bigoni 8jul2019
help charonVersion 1.0.0

Title

charon --Redistributes deaths by ill-defined causes and garbage codes

Syntax

charon icd10var
adjust(method_options)
age(agevar)
year(yearvar)
sex(sexvar)
geolevel(geolevel)

[,cancer(group_options)
newgroup(icd10list)
coefficient() ]

Options

method_options

NAD No redistribution of deaths by causes (Only redistributes deaths with unknown sex, age, and sex and age)

WHO World Health Organisation method
[ref 1]

EFB WHO method adjusted by Elisabeth Barboza França [ref 2]

GBD Method based on the coefficients published by the Global Burden of Disease Study 2010 [ref 3]

group_options

neopla All neoplasms

lipora Lip and oral cavity cancer

nasoph Nasopharynx cancer

otpha Other pharynx cancer

esopha Esophageal cancer

stomac Stomach cancer

colon Colon and rectum cancer

liver Liver cancer

gallbl Gallbladder and biliary tract cancer

pancre Pancreatic cancer

larynx Larynx cancer

trache Tracheal, bronchus, and lung cancer

malski Malignant skin melanoma

nonmel Non-melanoma skin cancer

sqacc Non-melanoma skin cancer (squamous-cell carcinoma)

breast Breast cancer

cervic Cervical cancer

uterin Uterine cancer

ovaria Ovarian cancer

prosta Prostate cancer

testic Testicular cancer

kidney Kidney cancer

bladde Bladder cancer

brain Brain and nervous system cancer

thyroi Thyroid cancer

mesoth Mesothelioma

hodgki Hodgkin lymphoma

nonhod Non-Hodgkin lymphoma

multip Multiple myeloma

leukem Leukemia

aculym Acute lymphoid leukemia

chroly Chronic myeloid leukemia

acumye Acute myeloid leukemia

chromy Chronic myeloid leukemia

otleuk Other leukemia

otmali Other malignant cancers

otneop Other neoplasms

myelod Myelodysplastic, myeloproliferative and other hematopoietic neoplasms

beinte Beningn and in situ intestinal neoplasms

beceut Benign and in situ cervical and uterine neoplasms

otbeni Other benign and in situ neoplasms

icd10list

Any code from the 10th revision of the International Statistical Classification of Diseases
is accepted

coefficient()

Studies in Brazil reported that cancer deaths had a lower chance of being misclassified
than other causes of deaths, finding that the per-rata distribution of
ill-defined causes of death overestimated the redistribution by 50%. The EBF method
applies this correction to the WHO method. Recognizing that this may change according
to cancer site or country, we provided an option to customize the coefficient of
correction of the WHO distribution. [This option can only be used when the WHO method
is chosen]

Description

charon redistributes deaths by ill-defined causes and garbage codes
according to different methodologies. The command allows applying
the previously mentioned methods, comparing their results,
and helping to choose the best option.The command terminates by generating a
new dataset that will be saved in the working folder. The link CHARON FILE,
which will be displayed on the screen, allows opening the database generated by the command.

Information required

The required icd10var needs to be a string variable containing
valid ICD-10 codes. It is necessary to provide a numeric variable for
age, sex, year, and level of aggregation (geolevel). Year needs to be provided
in YYYY or YY format. Sex needs to be classified as 1 = Males; 2 = Females;
and 3 = Unknow. All other types of classification will cause an error.

References

1. World Health Organization, 2018. WHO methods and data sources for
country-level causes of death 2000-2016. Global Health Estimates
Technical Paper WHO/HIS/IER/GHE/2018.3; World Health Organization: Geneva,
Switzerland.

2. França, E., Teixeira, R., Ishitani, L., Duncan, B.B., Cortez-Escalante,
J.J., Morais Neto, O.L.D. and Szwarcwald, C.L., 2014. Ill-defined causes of
death in Brazil: a redistribution method based on the investigation of such causes. Revista de saude publica, 48, pp.671-681.

3. Lozano, R., Naghavi, M., Foreman, K., Lim, S., Shibuya, K., Aboyans, V.,
Abraham, J., Adair, T., Aggarwal, R., Ahn, S.Y. and AlMazroa, M.A., 2012.
Global and regional mortality from 235 causes of death for 20 age groups in
1990 and 2010: a systematic analysis for the Global Burden of Disease Study
2010. The lancet, 380(9859), pp.2095-2128.

Author

Alessandro Bigoni, USP - School of Public Health, Department of Epidemiology

alebigoni@usp.br