Literature DB >> 31421113

Lung Cancer Mortality in China: Spatial and Temporal Trends Among Subpopulations.

Ning Wang1, Kerrie Mengersen2, Shilu Tong3, Michael Kimlin4, Maigeng Zhou5, Lijun Wang5, Wenbiao Hu6.   

Abstract

BACKGROUND: This study aimed to identify changing spatial and temporal trends of lung cancer mortality rates (LCMRs) among subpopulations in China (according to region, age, and sex).
METHODS: Data on LCMRs from 2006 to 2015 were extracted from the Chinese National Death Surveillance. Joinpoint regression and seasonal decomposition were used to assess the temporal trends. A geographic information system and spatial kriging interpolation were used to examine the spatial trends.
RESULTS: LCMRs in men aged 30 to 49 years significantly declined nationally from 2009 to 2015 (annual percentage change, -2.7%; P < .05), but they continued to rise in men aged ≥ 70 years and women aged ≥ 50 years in the east, people aged 50 to 69 years in the south, and most groups in the southwest. Among provincial capital cities, Shenyang, Changsha, and Hohhot had the highest 10-year average LCMR for men aged 30 to 49 years, 50 to 69 years, and ≥ 70 years, respectively; among all ages of women, Harbin had the highest average LCMR. Over the 10 years, the odds of the increases in LCMRs in men and women aged 30 to 69 years decreased by 3% to 7% with the longitudes or latitudes increasing by 1° (ORs ranged from 0.93 [95% CI, 0.90-0.95) to 0.97 [95% CI, 0.95-0.99]).
CONCLUSIONS: Disparities in the spatial and temporal trends of LCMRs among subpopulations highlight the need for investigation into potential drivers, especially for the east, south, and southwest of China. These findings may help health authorities target interventions to those most in need to reduce the lung cancer burden in China.
Copyright © 2019 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  China; lung cancer mortality; spatial trend; subpopulation; temporal trend

Mesh:

Year:  2019        PMID: 31421113     DOI: 10.1016/j.chest.2019.07.023

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  5 in total

1.  Age-period-cohort analysis of lung cancer mortality in China and Australia from 1990 to 2019.

Authors:  Ning Wang; Zhiwei Xu; Chi-Wai Lui; Baohua Wang; Wenbiao Hu; Jing Wu
Journal:  Sci Rep       Date:  2022-05-19       Impact factor: 4.996

2.  [Experience of Thoracotomy and Robot-assisted Bronchial Sleeve Resection 
after Neoadjuvant Chemoimmunotherapy for Local Advanced Central Lung Cancer].

Authors:  Xinlong Liu; Teng Sun; Tao Hong; Yanliang Yuan; Hao Zhang
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2022-02-20

3.  Comparing spatial patterns of 11 common cancers in Mainland China.

Authors:  Lin Zhang; Xia Wan; Runhe Shi; Peng Gong; Yali Si
Journal:  BMC Public Health       Date:  2022-08-15       Impact factor: 4.135

4.  Establishment of a Nomogram-Based Prognostic Model (LASSO-COX Regression) for Predicting Progression-Free Survival of Primary Non-Small Cell Lung Cancer Patients Treated with Adjuvant Chinese Herbal Medicines Therapy: A Retrospective Study of Case Series.

Authors:  Bin Luo; Ming Yang; Zixin Han; Zujun Que; Tianle Luo; Jianhui Tian
Journal:  Front Oncol       Date:  2022-07-08       Impact factor: 5.738

5.  Epidemiological trends and incidence prediction of lung cancer in China based on the Global Burden of Disease study 2019.

Authors:  Han Li; Meng Zhao; Gaoqiang Fei; Zemin Wang; Shuai Wang; Pingmin Wei; Wei Li
Journal:  Front Med (Lausanne)       Date:  2022-09-20
  5 in total

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