Geographical analysis of malignant tumor incidence and treatment in China

Malignant tumors have a severe impact on both patients and their families, and the treatment of malignant tumors is a fundamental component of public health security. Therefore, the issue of malignant tumors is a significant focus in the construction of "Healthy China." There are notable spatial disparities in both the incidence and treatment of malignant tumors in China. Research from a geographical perspective and methodology can help improve local malignant tumor prevention efforts and optimize the national allocation of medical resources. This study collected case samples publicly disclosed by representative malignant tumor mutual assistance platforms in China. The analysis was conducted using prefecture-level regions as the basic unit, applying spatial correlation analysis, geographic detectors, multi-factor regression, geographic inequality decomposition, birth cohort analysis, and other methods. The key findings are as follows: (1) there is a strong spatial aggregation of six high-incidence malignant tumors: respiratory system, digestive system, breast system, reproductive system, urinary system, and endocrine system cancers; (2) natural and human geographical factors have significant explanatory power for the occurrence of malignant tumors, although the influencing factors vary widely among different types of tumors; (3) there are considerable disparities in the distribution of medical resources for malignant tumors across regions, and when patients choose to seek treatment in different locations, they take both geographical distance and the level of medical services into account; (4) the difference in the "treatment occurrence rate" of malignant tumors is substantial between the two sides of the "Hu Huanyong Line"; (5) the degree of inequality in the national "treatment occurrence rate" for malignant tumors is widening with the increasing number of patients born later, but is narrowing with the establishment of new hospitals. Finally, this paper proposes policy recommendations to improve the prevention, control, and treatment of malignant tumors based on local conditions.

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Publication Details

Journal
Scientific Reports
Published
2025-09-01
DOI
https://doi.org/10.1038/s41598-025-17452-w
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
4.08
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Geographical analysis of malignant tumor incidence and treatment in China

Yue Liu, Minghao Zheng, Chuan Tang, Xiaoyan Yu et al.
3 citations
Scientific Reports
Radiomics and Machine Learning in Medical Imaging
4.08
article

Geographical analysis of malignant tumor incidence and treatment in China

Yue Liu, Minghao Zheng, Chuan Tang, Xiaoyan Yu, Yongsheng Zhao, Yuanyuan Bian, Jiang Zhang, Xiaolei Zhang
article en
3 citations

Abstract

Malignant tumors have a severe impact on both patients and their families, and the treatment of malignant tumors is a fundamental component of public health security. Therefore, the issue of malignant tumors is a significant focus in the construction of "Healthy China." There are notable spatial disparities in both the incidence and treatment of malignant tumors in China. Research from a geographical perspective and methodology can help improve local malignant tumor prevention efforts and optimize the national allocation of medical resources. This study collected case samples publicly disclosed by representative malignant tumor mutual assistance platforms in China. The analysis was conducted using prefecture-level regions as the basic unit, applying spatial correlation analysis, geographic detectors, multi-factor regression, geographic inequality decomposition, birth cohort analysis, and other methods. The key findings are as follows: (1) there is a strong spatial aggregation of six high-incidence malignant tumors: respiratory system, digestive system, breast system, reproductive system, urinary system, and endocrine system cancers; (2) natural and human geographical factors have significant explanatory power for the occurrence of malignant tumors, although the influencing factors vary widely among different types of tumors; (3) there are considerable disparities in the distribution of medical resources for malignant tumors across regions, and when patients choose to seek treatment in different locations, they take both geographical distance and the level of medical services into account; (4) the difference in the "treatment occurrence rate" of malignant tumors is substantial between the two sides of the "Hu Huanyong Line"; (5) the degree of inequality in the national "treatment occurrence rate" for malignant tumors is widening with the increasing number of patients born later, but is narrowing with the establishment of new hospitals. Finally, this paper proposes policy recommendations to improve the prevention, control, and treatment of malignant tumors based on local conditions.

Scientific ReportsVol. 15(1)
Liaoning University of Traditional Chinese Medicine (CN), Third People 's Hospital of Liaoyang (CN), Affiliated Hospital of Liaoning University of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 6%
Radiomics and Machine Learning in Medical Imaging
4.08
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