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BEYOND CLINICAL ONCOLOGY: ORIGINAL ARTICLE
Year : 2015  |  Volume : 4  |  Issue : 1  |  Page : 24-27

Denominators: An attempt to adjust for cancer incidence and mortality rates and its role in cancer registries


1 Dr. B. Borooah Cancer Institute, Department of Population Based Cancer Registry, National Cancer Registry Programme, Indian Council of Medical Research, Guwahati, India
2 Department of Biotechnology, Assam Medical College and Hospital, Dibrugarh, India

Correspondence Address:
Manoj Kalita
Dr. B. Borooah Cancer Institute, Department of Population Based Cancer Registry, National Cancer Registry Programme, Indian Council of Medical Research, Guwahati,
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2278-330X.149943

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Cancer is an important public health burden in India and around the Globe. Incident cases of cancer are reported continuously, and trends in incidence rates vary among five yearly age group. In India National census is carried out after every 10 years since 1951, the latest census is carried out in 2011. As Incident cases of cancer are reported continuously for 5 year age group and estimation of rates and trends for a given year of interest fall in-between two census period population estimation of five yearly age group, which serves as Denominator sense importance. Denominator serves as the most essential part of any cancer registry program as it used for calculation of various rates for five yearly age group such as age-standardized rate, crude rate, truncated rate, cumulative risk etc., Calculated by different registries and Individual Researchers, Government organizations, etc. Currently most of the registries used individual exponential growth rate and differential distribution method to estimate the growth rate. However, it is found that the calculated rates and risk be suffering from bias most of the time since some method over and underestimate the growth rate while some does not able to maintain consistency. Here, an attempt is made to adjust the world standard population with two census period to estimate the five yearly age group for a given year of interest of a geographical region falls in-between two census period. It is also shown here that how the proposed model "age-adjusted population growth model" maintain the overall growth as in exponential growth model and difference distribution method also maintains the estimated growth rate is as found in difference distribution method. Further, it is tried to highlight the points how these method overcomes the problems compared with other methods that are currently used by registries.


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