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Utilization of a Joint Point Regression Model for Predicting Mortality Rates of Common Cancers in Babol City
Pouyan Ebrahimi1, Sara Khaleghi1, Mohebat Vali2
1Student Research Committee, Babol University of Medical Sciences, Babol, Iran.
Cancer Reports (Hoboken, N.J.)
|January 22, 2025
Summary
Cancer mortality in Babol shows an increasing trend, with predictions indicating a 6.43% rise in the next five years without intervention. Urgent public health programs are needed to address this growing concern.
Area of Science:
- Oncology
- Public Health
- Epidemiology
Background:
- Cancer represents a significant cause of mortality globally.
- Understanding cancer mortality trends is crucial for effective health program planning and resource allocation.
Purpose of the Study:
- To predict mortality rates for the top 10 common cancers in Babol City using a Jointpoint regression model.
- To analyze cancer mortality trends and project future rates over a five-year period.
Main Methods:
- A cross-sectional study analyzing registered cancer deaths from 2013-2021.
- Calculation of crude and age-standardized rates, trend analysis, and 5-year mortality predictions.
- Utilized the Babol University of Medical Sciences' death registration and classification system.
Main Results:
- 2417 deaths from 10 common cancers were recorded between 2013-2021.
- Observed an initial mortality increase of 12.05% (2013-2016), followed by a 3.2% increase (2016-2021).
- Projected 6.43% increase in cancer mortality over the next five years without intervention; breast cancer highest in women, stomach cancer rising in men.
Conclusions:
- Cancer mortality in Babol is a significant and increasing public health issue.
- Urgent interventions are necessary, including enhanced cancer prevention programs and improved healthcare access.
- Addressing rising cancer mortality requires a multi-faceted approach focusing on prevention and quality of life.
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