Cancer statistics in China, 2016 / 中华肿瘤杂志

Objective: Data for 2016 from cancer registries were used to estimate cancer incidence and mortality in China in 2016. Methods: According to the quality control process of the National Central Cancer Registry, the data from 683 cancer registries submitted by each province were evaluated, and the data of 487 cancer registries were qualified and included in the final analysis. Age-specific incidence and mortality rates were calculated by area (urban/rural), sex, age and cancer site, combined with national population data to estimate cancer incidence and mortality in China in 2016. Chinese population census in 2000 and Segi's population were used for age-standardized incidence and mortality rates. Results: Total population covered by 487 cancer registries was 381 565 422 (192 628 370 in urban and 188 937 052 in rural areas). The percentages of morphologically verified (MV%) and death certificate-only cases (DCO%) accounted for 68.31% and 1.40%, respectively, and the mortality to incidence ratio was 0.61. It was estimated about 4 064 000 new cases occurred in China in 2016, with the crude incidence rate being 293.91/100 000 (the rates of males and females were 315.52/100 000 and 271.23/100 000), age-standardized incidence rates by Chinese standard population (ASIRC) and by world standard population (ASIRW) were 190.76/100 000 and 186.46/100 000, with the cumulative incidence rate (0-74 years old) being 21.42%. The crude incidence and ASIRC were 314.74/100 000 and 196.38/100 000 in urban areas, whereas in rural areas, they were 265.90/100 000 and 182.21/100 000, respectively. It was estimated about 2 413 500 cancer deaths occurred in China in 2016, the crude mortality rate was 174.55/100 000 (216.16/100 000 in males and 130.88/100 000 in females), the age-standardized mortality rates by Chinese standard population (ASMRC) and by world standard population (ASMRW) were 106.00/100 000 and 105.19/100 000, and the cumulative mortality rate (0-74 years old) was 11.85%. The crude mortality and ASMRC were 180.31/100 000 and 104.44/100 000 in urban areas, whereas in rural areas, they were 166.81/100 000 and 108.01/100 000, respectively. The most common cancer cases include lung, colorectal, stomach, liver and female breast cancers. The top five cancers accounted for about 57.27% of all cancer cases. The most common cancer deaths included lung, liver, stomach, colorectal and esophageal cancers. The top five cancers accounted for about 69.25% of all cancer deaths. Conclusions: The burden of cancer shows a continuous increasing trend in China. Regional and gender differences in cancer burden are obvious. The cancer patterns still show the coexistence of cancer patterns in developed countries and developing countries. The situation of cancer prevention and control is still serious in China.

CDH13 Genetic Polymorphisms, Adiponectin and Ischemic Stroke: a Chinese Family-based Sib-pair Study / 生物医学与环境科学（英文）

<p><b>OBJECTIVE</b>To understand the relationships between CDH13 (T-cadherin) genetic polymorphisms, adiponectin levels and ischemic stroke, and possible interactions between CDH13 polymorphisms and other risk factors.</p><p><b>METHODS</b>We recruited 342 Chinese ischemic stroke sib pairs. We genotyped rs4783244 and rs7193788 on CDH13 using time-of-flight mass spectrometry genotyping technology and measured total and high-molecular weight (HMW) adiponectin levels. We investigated associations between SNPs and ischemic stroke, and interactions between SNPs and other risk factors using multi-level mixed-effects regression model.</p><p><b>RESULTS</b>In individuals without ischemic stroke, CDH13 rs4783244 was associated with total adiponectin levels (per T: Coef = -0.257, P = 0.001). CDH13 rs7193788 was associated with total adiponectin levels (per A: Coef = -0.221, P = 0.001) and HMW adiponectin levels (per A: Coef = -0.163, P = 0.003). rs7193788 was significantly associated with ischemic stroke (GA/AA vs. GG: OR = 1.55, 95% CI: 1.07 to 2.24, P = 0.020) after Bonferroni correction (α = 0.025). There was an interaction between rs7193788 and diabetes (P = 0.036). Compared to diabetes-free individuals with rs7193788 GG genotype, diabetes patients with rs7193788 GA/AA genotypes had higher risks for ischemic stroke (OR = 2.64, 95% CI: 1.58-4.40, P < 0.001).</p><p><b>CONCLUSION</b>CDH13 genetic polymorphisms are associated with adiponectin levels and ischemic stroke. An interaction is found between CDH13 SNP and diabetes for ischemic stroke.</p>

Methodological quality of Meta-analyses regarding studies related to genetic association on papers published in Chinese journals / 中华流行病学杂志

Objective To assess the methodological quality of Meta-analyses on papers published in Chinese journals regarding studies on genetic association.Methods Meta-analyses of genetic association study published in Chinese journals up to December 2012 had been searched through on 4 Chinese electronic databases (China biomedicine database,CNKI,Wanfang database and VIP Information).Articles independently selected by both two researchers under definite inclusion and exclusion criteria were included in this study (with consultation on a third researcher if inconsistent opinions existed).A Measurement Tool for the Assessment of Multiple Systematic Reviews (AMSTAR) checklist was used to evaluate the methodological quality together with the methodological quality score being calculated.Results Totally,440 articles were included in this study,with mean score of the methodological quality score (maximum score is 11) as 5.77.Among the 440 articles,none had met the requirement of total 11 items in AMSTAR,with 89.5％ and 38.6％ of them had a priori design or duplicate study selection and data extraction.72.7％ of them performed a comprehensive literature search and 14.8％ included studies regardless of their publication status.10.9％ and 92.5％ of them provided a list of including or excluding studies or stated characteristics of the included ones.32.0％ of them assessed the scientific quality of those included studies,with 50.0％ of them mentioned their qualities when formulating the conclusions.93.2％ of them used appropriate methods to combine data while 82.3％ assessed the likelihood of publication bias.0.5％ of them declared the conflict of interests.Conclusion Our results from Meta-analyses showed an acceptable quality regarding their methodology related to genetic association on papers being published in Chinese journals.Improvement is needed especially on aspects as:selection of studies,data extraction,publication status with list of inclusion and exclusion,quality assessment and declaration on conflict of interests,etc.