Cancer incidence and mortality in China, 2013

Chen, Wanqing; Zheng, Rongshou; Zhang, Siwei; Zeng, Hongmei; Xia, Changfa; Zuo, Tingting; Yang, Zhixun; Zou, Xin; He, Jie

doi:10.1016/j.canlet.2017.04.024

Cited by 390 publications

(296 citation statements)

References 21 publications

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“…These results were substantially consistent with the Chinese cancer mortality report in 2018 [20]. However, the ratio of mortality caused by malignant neoplasms in our study was higher than that report; this may be because all of our participants were older than 45 years [21]. In China, lung cancer, female breast cancer, stomach cancer, liver cancer, esophageal cancer, as well as colorectal cancer have become the major causes of malignant neoplasm mortality and resulted in severe burden to our society.…”

Section: Discussionsupporting

confidence: 92%

The major causes and risk factors of total and cause-specific mortality during 5.4-year follow-up: the Shanghai Changfeng Study

Hao

et al. 2019

Eur J Epidemiol

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To investigate the major causes and predictive factors of death in a middle-aged and elderly Chinese population. A total of 6591 residents aged ≥ 45 years from Shanghai Changfeng community were followed up for an average of 5.4 years. The causes of death were coded according to the 10th Revision of International Classification of Diseases. The mortality rate was calculated by person-years of follow up and age-standardized according to the 2010 Chinese census data. Multivariable-adjusted Cox proportional hazards model was performed to investigate the predictors of all-cause and cause-specific mortality. During the total follow-up of 35,739 person-years, 370 deaths were documented (157 from malignant neoplasms, 70 from heart diseases, 68 from cerebrovascular diseases, 75 from other causes). The age-standardized all-cause mortality rate was 798.2 per 100,000 person-years (927.9 among men and 716.7 among women). Results from multivariable analyses showed that aging, diabetes, and osteoporosis at baseline were independent predictors of all-cause mortality, with hazard ratios (HR) of 1.11 (95% CI 1.10–1.13), 1.91 (1.51–2.42), and 1.71 (1.24–2.35), respectively. The population attributable risk percent of diabetes and osteoporosis was 19.7% and 11.7%, respectively. Cigarette smoking was associated with a higher risk of all-cause mortality in men (HR and 95%CI 1.44, 1.01–2.06). In women, diabetes and osteoporosis were related to a higher risk of cardiovascular mortality (3.27, 1.82–5.88 and 1.89, 1.04–3.46, respectively). While in men, osteoporosis was related to a higher risk of malignant neoplasms mortality (2.39, 1.07–5.33). Malignant neoplasms, heart diseases, and cerebrovascular diseases are the leading causes of death. Aging, smoking, underweight, diabetes, and osteoporosis are independent predictors of premature death among middle-aged and elderly Chinese community population. Moreover, there may have been some differences in the causes and predictors of premature death between men and women.

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Section: Discussionsupporting

confidence: 92%

The major causes and risk factors of total and cause-specific mortality during 5.4-year follow-up: the Shanghai Changfeng Study

Hao

et al. 2019

Eur J Epidemiol

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“…Gastric cancer (GC) is one of the major cancer‐related threats to public health . China is a high‐risk area, with an estimated 427 100 new cases and 301 200 GC‐related deaths reported in 2013 . Although the incidence and mortality of GC has steadily declined within the last few decades, the survival of patients with advanced GC is still less than 30% .…”

Section: Introductionmentioning

confidence: 99%

Polymorphism of the programmed death‐ligand 1 gene is associated with its protein expression and prognosis in gastric cancer

Zhao

Jia

et al. 2018

J of Gastro and Hepatol

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Background and Aim While the incidence and mortality of gastric cancer (GC) remains high, and prognosis of GC remains poor, molecules in programmed death‐1 (PD‐1), programmed death‐ligand 1 (PD‐L1), and programmed death‐ligand 2 (PD‐L2) pathway are promising prognostic biomarker of GC. The polymorphisms on PD‐1, PD‐L1, and PD‐L2 may be associated with their protein expressions and affect the survival of GC patient. Methods Seven hundred fifty‐six GC patients who voluntarily supplied blood samples were enrolled in our study. We genotyped nine polymorphisms on PD‐1, PD‐L1, and PD‐L2, then evaluated the association of the single nucleotide polymorphisms with GC prognosis and analyzed the relationship between the PD‐1, PD‐L1, and PD‐L2 single nucleotide polymorphism genotypes and their protein expression. Results We found that PD‐L1 rs822336 CC genotype was independently associated with a better survival of all GC patients and those without postoperative chemotherapy (hazard ratio [HR] = 0.504, 95% confidence interval [CI] = 0.283–0.897 and HR = 0.385, 95% CI = 0.189–0.786). AA+AG genotype of rs2297136 in 3'UTR of the PD‐L1 was correlated with the protein expression of PD‐L1 protein both in patients overall and those without postoperative chemotherapy (P = 0.013 and P = 0.012). AA+AG genotype of rs2297136 served as an independent factor of better prognosis in patients without postoperative chemotherapy (HR = 0.348, 95% CI = 0.125–0.968). Conclusions Overall, PD‐L1 polymorphisms and protein expression were associated with the prognosis of patients with GC.

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“…In China, breast cancer is now the most frequently diagnosed cancer and the sixth leading cause of cancer-related death in women, with 273,000 Chinese women being diagnosed with breast cancer in 2012 and 62,000 dying of the disease [2]. While the incidence rate of breast cancer in China is still lower than is reported in developed countries, since the 1990s, breast cancer incidence in China has increased at a rate more than double the increases seen in global rates [3].…”

Section: Introductionmentioning

confidence: 99%

Temporal Trends in Geographical Variation in Breast Cancer Mortality in China, 1973–2005: An Analysis of Nationwide Surveys on Cause of Death

Xia

Kahn

Wang

et al. 2016

IJERPH

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To describe geographical variation in breast cancer mortality over time, we analysed breast cancer mortality data from three retrospective national surveys on causes of death in recent decades in China. We first calculated the age-standardized mortality rate (ASMR) for each of the 31 provinces in mainland China stratified by survey period (1973–1975, 1990–1992 and 2004–2005). To test whether the geographical variation in breast cancer mortality changed over time, we then estimated the rate ratio (RR) for the aggregated data for seven regions and three economic zones using generalized linear models. Finally, we examined the correlation between mortality rate and several macro-economic measures at the provincial level. We found that the overall ASMR increased from 2.98 per 100,000 in 1973–1975 to 3.08 per 100,000 in 1990–1992, and to 3.85 per 100,000 in 2004–2005. Geographical variation in breast cancer mortality also increased significantly over time at the regional level (p = 0.002) but not at the economic zone (p = 0.089) level, with RR being generally lower for Western China (Northwest and Southwest) and higher in Northeast China over the three survey periods. These temporal and spatial trends in breast cancer mortality were found to be correlated with per capita gross domestic product, number of hospitals and health centres’ beds per 10,000 population and number of practicing doctors per 10,000 population, and average number of live births for women aged 15–64. It may be necessary to target public health policies in China to address the widening geographic variation in breast cancer mortality, and to take steps to ensure that the ease of access and the quality of cancer care across the country is improved for all residents.

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Cancer incidence and mortality in China, 2013

Cited by 390 publications

References 21 publications

The major causes and risk factors of total and cause-specific mortality during 5.4-year follow-up: the Shanghai Changfeng Study

The major causes and risk factors of total and cause-specific mortality during 5.4-year follow-up: the Shanghai Changfeng Study

Polymorphism of the programmed death‐ligand 1 gene is associated with its protein expression and prognosis in gastric cancer

Temporal Trends in Geographical Variation in Breast Cancer Mortality in China, 1973–2005: An Analysis of Nationwide Surveys on Cause of Death

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