Epidemiological Analysis of Global and Regional Lung Cancer Mortality: Based on 30-Year Data Analysis of Global Burden Disease Database

Abstract

The objective of this study was to understand dynamic global and regional lung cancer fatality trends and provide a foundation for effective global lung cancer prevention and treatment strategies. Data from 1990 to 2019 were collected from the Global Burden Disease (GBD) database and statistical analysis was conducted using Excel 2010. Standardization was based on the GBD’s world population structure, and the Average Annual Percentage Change (AAPC) was calculated using Joinpoint 4.8.0.1 software. Bayesian age–period–cohort analysis (BAPC) predicted global lung cancer mortality from 2020 to 2030. In 2019, worldwide lung cancer deaths reached 2,042,600, a 91.75% increase from 1990 (1,065,100). The standardized age-specific death rate in 2019 was 25.18 per 100,000. Males had a rate of 37.38 while females had 14.99. Men saw a decreasing trend while women experienced an increase. High- and medium–high-SDI regions had declining rates (−0.3 and −0.8 AAPCs) whereas middle-, low-, and low–middle-SDI regions had increased mortality rates (AAPC = 0.1, AAPC = 0.37, AAPC = 0.13). Several regions, including Oceania, South Asia, East Asia, Western Sub-Saharan Africa, Southeast Asia, and Eastern Sub-Saharan Africa, witnessed rising global lung cancer mortality rates (p < 0.01). The global standardized mortality rate for lung cancer is expected to decrease from 2020 to 2030, but predictions indicate increasing female mortality and decreasing male mortality. Despite overall declines, rising female mortality remains a concern. Effective measures are essential to reduce mortality rates and improve patients’ quality of life in the global fight against lung cancer.

Development and Validation of a Deep Learning Model for Histopathological Slide Analysis in Lung Cancer Diagnosis

“…Lung cancer is prevalent and poses a significant healthcare challenge, requiring efficient diagnostic tools to cope with the escalating workload on pathologists [15]. The surge in lung cancer cases, coupled with the evolving intricacies of histopathological evaluations following guideline modifications, contributes to an augmented burden on pathologists.…”

Disease burden and related risk factors of esophageal cancer in China and globally from 1990 to 2021, with forecast to 2035: An analysis and comparison

“…The BAPC model is a complex statistical tool that combines prior information on unknown parameters with sample information to estimate the posterior distribution and infer these unknown parameters 23 . It has been shown to have higher accuracy in predicting disease burden.…”

The Role of Licorice Chalcones as Molecular Genes and Signaling Pathways Modulator—A Review of Experimental Implications for Nicotine-Induced Non-Small Cell Lung Cancer Treatment

“…Globally, lung cancer (LC) is regarded as the most common malignant tumor causing death, with tobacco smoking being considered the greatest risk factor [ 1 , 2 , 3 ]. Non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) are the two major types associated with tobacco smoking, with NSCLC comprising 85% of all LC cases while SCLC represents the remaining 15% [ 3 ].…”