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The world cancer patient population (WCPP): An updated standard for international comparisons of population-based survival.


ABSTRACT:

Purpose

This study addresses the need for a global cancer patient-based standard population that adjusts for the expected age structure of different cancers, thus aiding the comparison of survival estimates worldwide.

Methods

Counts of age-specific incidence for 36 cancer sites in 185 countries for the year 2018 were extracted from IARC's GLOBOCAN database of national estimates. We used a multinomial mixture regression to identify clusters of cancer sites with similar age-specific profiles.

Results

An updated standard entitled the World Cancer Patient Population (WCPP) is presented, derived from the current estimated global numbers of cancer patients that comprises three sets of age-specific weights. Around two-thirds of cancer sites were described by a unique standard, representing the majority of epithelial cancers more often diagnosed at older age groups. The two other standards represent a number of non-epithelial cancer types, and cancers common at younger and older age groups, respectively.

Conclusion

The WCPP proposed here provides a contemporary and global means to estimate age-standardised survival for international benchmarking purposes.

SUBMITTER: Miranda-Filho A 

PROVIDER: S-EPMC7768180 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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The world cancer patient population (WCPP): An updated standard for international comparisons of population-based survival.

Miranda-Filho Adalberto A   Bray Freddie F   Charvat Hadrien H   Rajaraman Swaminathan S   Soerjomataram Isabelle I  

Cancer epidemiology 20200914


<h4>Purpose</h4>This study addresses the need for a global cancer patient-based standard population that adjusts for the expected age structure of different cancers, thus aiding the comparison of survival estimates worldwide.<h4>Methods</h4>Counts of age-specific incidence for 36 cancer sites in 185 countries for the year 2018 were extracted from IARC's GLOBOCAN database of national estimates. We used a multinomial mixture regression to identify clusters of cancer sites with similar age-specific  ...[more]

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