BeBOD estimates of incidence, prevalence, and years lived with disability for 57 cancer types, 2004-2021
Belgian National Burden of Disease Study Estimates of the morbidity burden of disease for 57 cancer sites Incidence Data on new cancer cases in Belgium are collected by the Belgian Cancer Registry (BCR). For the current study, we selected 80 ICD-10 (C00.0-96.9 and chronic myeloid neoplasms) codes resulting in 57 cancer sites. Data were extracted by year (from 2004 to 2021), age group (5-years), sex and region (N=3). We excluded "Respiratory system and intrathoracic organs, NOS (not otherwise specified)" from further analyses because of too few cases. Prevalence Prevalence estimates were estima... Mehr ...
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Dokumenttyp: | other |
Erscheinungsdatum: | 2023 |
Verlag/Hrsg.: |
Zenodo
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Schlagwörter: | Belgium / Burden of disease / Morbidity / Cancer / Years Lived with Disability / BeBOD |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28530092 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.5281/zenodo.10148439 |
Belgian National Burden of Disease Study Estimates of the morbidity burden of disease for 57 cancer sites Incidence Data on new cancer cases in Belgium are collected by the Belgian Cancer Registry (BCR). For the current study, we selected 80 ICD-10 (C00.0-96.9 and chronic myeloid neoplasms) codes resulting in 57 cancer sites. Data were extracted by year (from 2004 to 2021), age group (5-years), sex and region (N=3). We excluded "Respiratory system and intrathoracic organs, NOS (not otherwise specified)" from further analyses because of too few cases. Prevalence Prevalence estimates were estimated using the above-described incidence estimates and the survival estimates also provided by BCR, derived from linkage with the Belgian Crossroads Bank for Social Security. We used a 10-year prevalence perspective meaning that from the year 2013 onwards, we were able to define the prevalence in a given year as the sum of person-months spent in the different health states. Specifically, we used a microsimulation approach to simulate future health states for each year-, age-, sex-, region- and cancer-specific cohort of incident cases. See for more details: https://doi.org/10.1186/s12885-021-09109-4 YearsLived with Disability Years Lived with Disability (YLDs) were calculated using both an incidence and prevalence perspectiveas a measure of morbidity. YLDs are calculated as the product of the number of prevalent cases with the disability weight (DW), averaged over the different health states of the disease. The DWs reflect the relative reduction in quality of life, on a scale from 0 (perfect health) to 1 (death). We calculate YLDs using the Global Burden of Disease DWs. ; Explore the estimates via https://burden.sciensano.be/shiny/cancer