Related Experiment Video
Updated: Jan 11, 2026

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
Leukemia Incidence and Demographic Trends in Saudi Arabia, 1997-2022: A Nationwide Registry Analysis
Hibah A Almasmoum1, Afnan S Salaka1, Imtinan Y Alamri1
1Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, 24381, Saudi Arabia.
Background:
Leukemia presents a significant and evolving public health challenge in Saudi Arabia, yet long-term nationwide epidemiological trends are unavailable. This study aimed to characterize temporal, demographic, and regional patterns in leukemia incidence from 1997 to 2022.
Methods:
We conducted a retrospective nationwide analysis using the Saudi Cancer Registry and Global Burden of Disease data. We calculated age-standardized incidence rates (ASR), age-specific incidence rates (AIR) per 100 000, and average/annual percentage changes (AAPC/APC) by age, sex, leukemia type, and administrative region.
Results:
The overall ASR was 5.9, with an increase over time (AAPC = 2.28, 95% CI 1.68‒2.87), sharply accelerating after 2016 (APC = 9.47, 95% CI 6.21‒15.18). This trend was driven by a dual burden in pediatric (0-14 years; boys AAPC = 2.67, 95% CI 1.95‒3.40; girls AAPC = 2.38, 95% CI 1.41‒3.66), and 50+ adults (males AAPC = 1.7, 95% CI 0.55‒2.86; females AAPC = 3.0, 95% CI 1.76‒4.25), including a 147% AIR increase among males aged 75+. Myeloid leukemia (AAPC = 2.68, 95% CI 0.67‒3.66) became the most common type after 2019, overtaking lymphoid leukemia. Regionally, Riyadh had the highest overall burden (ASR = 6.7), while the Northern region exhibited the fastest growth (AAPC = 10.51, 95% CI 4.09‒16.89). Qassim was the sole exception (AAPC = - 4.54, 95% CI -6.43‒-2.63).
Conclusion:
Leukemia incidence in Saudi Arabia is accelerating at a rate exceeding global trends, highlighting the need for targeted, regionally adapted surveillance. Further research into underlying demographic and regional drivers is essential to guide effective cancer control planning.
Related Concept Videos
Cancer Survival Analysis
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Applications of Life Tables
Statistical Methods for Analyzing Epidemiological Data
Tumor Progression
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Cancer Prevention
Some...

