Comparative statistics by cancer site (ICD-10)

ICD-10: Comparative statistics by registry

Table 1: Data quality indices - Proportion (%) of histologically verified and death certificate only cases, number and proportion of included and excluded cases by site


Click on country-registry for comparison

FlagCountry-registryRegistration periodTotal registred%No. of excluded casesIncluded cases
HVDCODCONo. follow-upOthersTotal%No.%
China - Hong Kong SAR 1996-20014785.12.1104510.64289.4
China - Shangai 1992-19954388.42.310012.34297.7
China - Tianjin 1991-19995386.80.000000.053100.0
India - Chennai 1990-19999276.10.006066.58693.5
India - Mumbai 1992-199416886.33.052074.216195.8
Republic of Korea - Seoul 1993-19972688.50.000000.026100.0
Thailand - Khon Kaen 1993-19978885.21.1180910.27989.8
Thailand - Lampang 1990-20003397.00.000000.033100.0
Thailand - Songkhla 1990-19993892.10.0070718.43181.6



Other tables available:

- Table 1: Data quality indices - Proportion (%) of histologically verified and death certificate only cases, number and proportion of included and excluded cases by site
- Table 2a: Number and proportion of cases with complete/incomplete follow-up and median follow-up (in months) by site
- Table 2b: Number and proportion of cases by vital status and median follow-up (in months) by site
- Table 3: Comparison of 1-, 3- and 5-year absolute and relative survival and 5-year age-standardized relative survival (ASRS) by site
- Table 4: Site-wise number of cases, 5-year absolute and relative survival by sex and relative survival by age group
- Table 5b: Proportion (%) of cases and 5-year absolute survival by extent of disease and site
- Table 6: Comparison of 5-year absolute and relative survival of cases diagnosed
- Table 7b: Up-to-date 5-year relative survival estimates using cohort and period approaches by site and calendar period
- Table 8: Up-to-date 5-year relative survival estimates using cohort and period approaches by site and calendar period
- Table 9: Up-to-date 10- and 15-year relative survival estimates using cohort and period approaches by site and calendar period