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EPMA Journal

pp 1–16 | Cite as

The burden of prostate cancer is associated with human development index: evidence from 87 countries, 1990–2016

  • Rajesh SharmaEmail author
Research
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Abstract

Aim

To examine the temporal patterns of the prostate cancer burden and its association with human development.

Subject and methods

The estimates of the incidence and mortality of prostate cancer for 87 countries were obtained from the Global Burden of Disease 2016 study for the period 1990 to 2016. The human development level of a country was measured using its human development index (HDI): a summary indicator of health, education, and income. The association between the burden of prostate cancer and the human development index (HDI) was measured using pairwise correlation and bivariate regression. Mortality-to-incidence ratio (MIR) was employed as a proxy for the survival rate of prostate cancer.

Results

Globally, 1.4 million new cases of prostate cancer arose in 2016 claiming 380,916 lives which more than doubled from 579,457 incident cases and 191,687 deaths in 1990. In 2016, the age-standardised incidence rate (ASIR) was the highest in very high–HDI countries led by Australia with ASIR of 174.1/100,000 and showed a strong positive association with HDI (r = 0.66); the age-standardised mortality rate (ASMR), however, was higher in low-HDI countries led by Zimbabwe with ASMR of 78.2/100,000 in 2016. Global MIR decreased from 0.33 in 1990 to 0.26 in 2016. Mortality-to-incidence ratio (MIR) exhibited a negative gradient (r = − 0.91) with human development index with tenfold variation globally with seven countries recording MIR in excess of 1 with the USA recording the minimum MIR of 0.10.

Conclusion

The high mortality and lower survival rates in less-developed countries demand all-inclusive solutions ranging from cost-effective early screening and detection to cost-effective cancer treatment. In tackling the rising burden of prostate cancer predictive, preventive and personalised medicine (PPPM) can play a useful role through prevention strategies, predicting PCa more precisely and accurately using a multiomic approach and risk-stratifying patients to provide personalised medicine.

Keywords

Prostate cancer Incidence Mortality Mortality-to-incidence ratio Human development index Predictive preventive personalised medicine Precision medicine 

Notes

Acknowledgements

We thank the Institute of Health Metrics and Evaluation (IHME) for making Global Burden of Disease (GBD) data pertaining to prostate cancer available in the public domain.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

The research is conducted using data available in the public domain and does not include any human participants and/or animals.

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Copyright information

© European Association for Predictive, Preventive and Personalised Medicine (EPMA) 2019

Authors and Affiliations

  1. 1.University School of Management and EntrepreneurshipDelhi Technological UniversityDelhiIndia

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