Objective This study aimed to describe the sex disparities on cancer incidence and mortality in Jiashan population.Methods All data concerning incident and death cases of cancers were gathered from the database of Cancer Registry in Jiashan county.Data from the 2010 China census was used as the standard population.Sex-specific age-standardized incidence rates (ASIRs),mortality rates (ASMRs) per 100 000 persons for all cancers and types of each cancer were calculated for the years of 1990 to 1999,2000 to 2009,2010 to 2014,and 1990 to 2014.In addition,the corresponding male-to-female incidence rate ratios (IRRs) and mortality rate ratios (MRRs) were also calculated.Results The ASIR of all cancers was 226.13/105 for the whole period of 1990 to 2014,with 266.04/105 for males and 187.22/105 for females,respectivcly.The corresponding IRR was 1.42 (95％CI:1.39-1.46),with significant difference noticed in the incidence rates between males and females (P＜0.05).The ASMR of all cancers was 155.39/105,with 206.55/105 for males and 104.98/105 for females,respectively.The corresponding MRR was 1.97 (95％ CI:1.91-2.03),with significant difference between males and females (P＜0.05).Among all the cancer types,only gallbladder cancer and thyroid cancer showed female predominance in both incidence and mortality,with male predominance in all the remaining cancers.Conclusion Finding from our study suggested that a male predominance in both incidence and mortality for a majority of cancers in Jiashan population.

Evaluating and monitoring long-term survival of cancer patients and reporting the survival rate are routinely employed by cancer registries. Long-term survival rate is a necessary indicator in evaluating the effect of cancer therapy and cancer burden. Cohort method is a traditional approach for survival analysis, but it essentially reflects the survival expectations of patients diagnosed many years ago, therefore survival status of cancer patients was often disclosed with delay. Given the limitation of cohort method, period analysis and model-based period analysis are subsequently proposed and gradually applied in assessment of survival rates in recent years. Period analysis includes the patients of interest period, which reflects more up-to-date estimates of long-term survival of cancer patients. While model-based period analysis can use the existing data to calculate survival rates and to assess the trend, and predict survival rates in the future. Compared with cohort approach, period analysis and model-based period analysis are better in timeliness and precision in survival analysis. This article reviews the definition and theory, calculation and application of cohort method, period analysis and model-based period analysis, in order to provide a basis on up-to-date and precise assessment of survival rates of cancer patients.
Cohort Studies ; Humans ; Neoplasms ; mortality ; Registries ; Survival Analysis ; Survival Rate

Colorectal cancer is caused by the interaction of genetic and environment factors. Domestic and foreign scholars have attempted to develop several colorectal cancer risk prediction models, in order to identity risk factors, to screen for high risk population and evaluate the risk of developing colorectal cancer, so as to provide personalized screening protocols for individuals with different risk, and eventually reduce the incidence and mortality rate of colorectal cancer. Currently, the common colorectal cancer risk prediction models were mainly developed based on case-control study and cohort study. Models developed in European and American regions and Asia (excluding China) only include common risk factors, while Chinese models also include hereditary factors on the bases of common risk factors. However, the development and verification of each model are mainly based on local population, whether it can be applied for other population need to be determined. This article reviews the development, validation and evaluation of the risk prediction models, in order to provide a basis for developing more precise risk prediction models for colorectal cancer.
Asian Continental Ancestry Group ; Case-Control Studies ; Cohort Studies ; Colorectal Neoplasms ; Humans ; Incidence ; Risk Assessment ; Risk Factors