Soleyman Alivand
1 , Farinaz Fattahi
2 , Zahra Zarei
3 , Mehdi Hosseinifard
4 , Atieh Nouralishahi
5 , Hakimeh Karimi Aliabadi
6 , Simin Soltani Nejad
7 , Noorbakhsh Alivand
8 , Hanieh Molaee
9 , Anna Ghorbani Doshantapeh
10* 1 Department of Biostatistical and Epidemiology, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
2 Department of Emergency Medicine, School of Medicine, Milad Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
3 Department of Nursing, Mostafa Khomeini Hospital, Social Security Organization, Behbahan, Iran
4 Department of Nursing, Behbahan Branch, Islamic Azad University, Behbahan, Iran
5 Sub-Department of Operations and Analytics, Department of Management, Faculty of Environment, Science and Economy, University of Exeter, Exeter, United Kingdom
6 Department of Anesthesiology, Kerman University of Medical Sciences, Kerman, Iran
7 Department of Radiation Oncology, Afzalipour Hospital, Kerman University of Medical Sciences, Kerman, Iran
8 Department of Nutrition, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
9 Department of Nursing, Faculty of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
10 Department of Hematology-Medical Oncology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract
Introduction: Population categories based on income levels are frequently utilized to compare cancer rates across various countries. It is a valuable tool for assessing global health and helps to classify cancers and measure the incidence and mortality of different types of cancer.
Objectives: This study aimed to evaluate global kidney cancer incidence and mortality rates in 2020 according to population category by income levels, using an ecological study design.
Methods and Materials: This ecological study examines the correlation between the incidence and mortality of kidney cancer in 2020, reported by the GLOBOCAN project, since the population category by income levels was reported by the World Bank report. The linear regression method was conducted to assess this correlation.
Results: Results demonstrated that the global incidence and mortality rate of kidney cancer in 2020 was estimated at 431288 and 179368 cases, respectively. The incidence and mortality rate of kidney cancer were higher in high-income countries, and both rates tend to be higher in more developed regions. However, there was no statistically significant correlation between the population category by income levels and kidney cancer incidence and mortality based on both crude rate (CR) and age-standardized rate (ASR) indicators (P>0.05).
Conclusion: We conclude that incidence and mortality rates of kidney cancer are not associated with population category by income level.
Implication for health policy/practice/research/medical education:
In an ecological study based on the data from the GLOBOCAN project in 2020, we found that high-income countries showed higher rates of new kidney cancer cases.
Please cite this paper as: Alivand S, Fattahi F, Zarei Z, Hosseinifard M, Nouralishahi A, Karimi Aliabadi H, Soltani Nejad S, Alivand N, Molaee H, Ghorbani Doshantapeh A. Assessing global kidney cancer incidence and mortality rates according to population category by income levels in 2020: An ecological study. J Renal Inj Prev. 2024; x(x): e32243. doi: 10.34172/ jrip.2023.32243.