A metric for comparison and visualization of age disparities in cancer survival
Language English Country Netherlands Media print-electronic
Document type Journal Article, Comparative Study
PubMed
38762920
DOI
10.1016/j.canep.2024.102586
PII: S1877-7821(24)00065-1
Knihovny.cz E-resources
- Keywords
- Acute myeloid leukemia, Age-groups, Colon cancer, Relative survival, Treatment,
- MeSH
- Leukemia, Myeloid, Acute epidemiology mortality MeSH
- Algorithms MeSH
- Survival Analysis * MeSH
- Child MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Colonic Neoplasms epidemiology mortality MeSH
- Neoplasms * epidemiology mortality MeSH
- Child, Preschool MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Age of Onset MeSH
- Age Factors MeSH
- Check Tag
- Child MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Child, Preschool MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Comparative Study MeSH
- Geographicals
- Scandinavian and Nordic Countries epidemiology MeSH
AIMS: Diagnostic age is an important determinant of cancer survival but the methods generally used to analyze age-group-specific survival are not developed for ready visualization of survival differences. We aim at developing a novel metric for comparing and visualizing age-group-specific survival data over different cancers, sexes, periods and countries. METHODS: The metric describes the mean absolute deviation between age-groups. The metric can be used in two variations, one showing the mean variation and its 95% confidence intervals and the other highlighting individually each age-groups distinguishing positive or negative deviations. We demonstrate the applications with age-group- specific 5-year relative survival data from the NORDCAN database RESULTS: The mean absolute deviation between age-groups for Swedish colon cancer survival declined from about 5% in 1972-1981-1% in 1992-2001 and to 1.3% in 2012-2021. Patients diagnosed before age 50 years accounted for the largest positive deviation. For acute myeloid leukemia (AML) the mean deviation increased from 4% (female) to 17% and 23%. Patients diagnosed at age below 50 years showed the largest deviations. Comparing colon cancer mean deviations between the Nordic countries, a time-related decline was observed for all, those in Sweden ending at the lowest and in Finland the highest level. CONCLUSIONS: We demonstrated the usefulness of the devised metric for summarizing age-specific survival data between cancers, sexes, periods and countries. The two variations of the metric allow a simple visual presentation of the survival experience as to deviation of the survival data, its 95%CIs and its highlighted individual age-group components.
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