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[Spatial and temporal distribution characteristics research of esophageal cancer in China].
Lai, S P; Su, H M; Liu, Y W; Zhang, M Q; Huang, Z Q; Liu, J X; Huang, H.
Afiliação
  • Lai SP; School of Public Health, Wenzhou Medical University, Wenzhou 325035, China.
  • Su HM; School of Public Health, Wenzhou Medical University, Wenzhou 325035, China.
  • Liu YW; School of Public Health, Wenzhou Medical University, Wenzhou 325035, China.
  • Zhang MQ; School of Public Health, Wenzhou Medical University, Wenzhou 325035, China.
  • Huang ZQ; School of Public Health, Wenzhou Medical University, Wenzhou 325035, China.
  • Liu JX; School of Public Health, Wenzhou Medical University, Wenzhou 325035, China.
  • Huang H; School of Public Health, Wenzhou Medical University/Zhejiang Provincial Key Laboratory of Watershed Sciences and Health, Wenzhou 325035, China.
Zhonghua Zhong Liu Za Zhi ; 46(7): 657-662, 2024 Jul 23.
Article em Zh | MEDLINE | ID: mdl-39034801
ABSTRACT

Objectives:

To explore the spatial distribution characteristics, trend changes, and spatial clustering of esophageal cancer among residents in China at the county (city, district) scale, a spatial epidemiological approach was used, with the aim of providing localized evidence for the prevention and treatment of esophageal cancer in China.

Methods:

The data source was the incidence (crude rate) and mortality (crude rate) of esophageal cancer from 2005 to 2016 in the 2008-2019 edition of China Cancer Registration Annual Report published by the National Cancer Center. The Joinpoint model was used for time trend analysis. The tumor registration area in 2016 was selected as the study area for spatial feature analysis, with a total of 487 counties (cities and districts), covering 27.6% of the national population. Spatial autocorrelation analysis was performed to reveal spatial distribution characteristics by using Arcgis 10.6 software, and spatial scanning statistics was used to analyze spatial clustering characteristics by using SaTScan 9.5 software. The log-likelihood ratio (LLR) and relative risk (RR) were calculated in different windows, and the region with the largest LLR value represented the most likely cluster.

Results:

From 2005 to 2016, the incidence and mortality rate of esophageal cancer in China showed a trend of increasing at first and then decreasing. The incidence and mortality rate of esophageal cancer in 2016 were characterized by spatial positive correlation. High incidence and high mortality were mainly concentrated in the areas through which the Huaihe River flowed. The primary clusters (taking high incidence rate as an example LLR=6 374.41, RR=2.37, P<0.001) were mainly distributed in Jiangsu, Anhui and Shandong in eastern China and eastern Henan and southern Hebei in central China, and secondary clusters (taking high incidence rate as an example LLR=1 971.19, RR=1.91, P<0.001) in Gansu, Ningxia Hui Autonomous Region, Shaanxi, Sichuan and other central and western regions.

Conclusions:

The incidence and mortality of esophageal cancer in China have decreased since 2010. The disease burden of esophageal cancer has obvious spatial differences, and measures should be taken according to local conditions in high-risk cluster areas such as the Huaihe River basin.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Esofágicas / Análise Espaço-Temporal Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Esofágicas / Análise Espaço-Temporal Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article