Projection of morbidity and mortality due to breast cancer between 2020 and 2050 across 42 low- and middle-income countries.

ABSTRACT:

Objective

Aim of the study is to predict trends in morbidity and mortality due to breast cancer in 42 LMICs between 2020 and 2050.

Design

and Setting: National level cross-sectional breast cancer related data between 1990 and 2019 were used. Recurrent Neural Network, Long-Short-Term Memory (RNN-LSTM) model was employed to forecast the trend in breast cancer burden.

Main outcomes and measures

Age standardized breast cancer incidence, mortality, and disability adjusted life years (DALYs) rates.

Results

By 2050, the age standardized breast cancer incidence rate is expected to increase in 38 LMICs with highest incidence rate in Namibia; 127.0 (78.0-176.0) followed by Nigeria 71.1 (53.9-88.3) and Papua New Guinea 70.6 (88.7-74.6). Similarly, the age standardized bre

SUBMITTER: Rauniyar SK 

PROVIDER: S-EPMC10238690 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature