Survival Monitoring in Russian Cancer Registries
试验速览
- 阶段
- 不适用
- 状态
- 进行中(未招募)
- 发起方
- 入组人数
- 100,000
- 试验地点
- 2
- 主要终点
- Cause-specific survival
研究概览
简要总结
This study aims to establish a holistic framework for continuous cancer survival surveillance in Russian regions with high-quality population-based cancer registry data. The data from the population-based cancer registries of the Northwestern regions of Russia will be used to assess net and cause-specific survival trends.
详细描述
The main sources of cancer incidence data in Russia are population-based cancer registries (PBCR). National recommendations guide the content of corresponding variables stored in PBCRs. Data were collected for the following regions: Arkhangelsk Oblast and Nenets Autonomous Okrug (combined), Republic of Karelia, Komi Republic, Vologda Oblast, Kaliningrad Oblast, Leningrad Oblast, Murmansk Oblast, Novgorod Oblast, Pskov Oblast, and St. Petersburg. Quality assessment procedures will be applied to the population-based cancer registries (PBCRs) datasets. Essential variables will be extracted following the recommended list of ENCR/IACR.
The list of variables consists of two classes: original variables present in PBCRs datasets and synthetic variables calculated based on the original variables. "IARC/IACR Tools for Cancer Registries" (IARC tools) software was used for the data cleaning, conversion to ICD-O-3, and multiple primaries assessment. Duplicates were removed by applying IARC/IACR/ENCR multiple primary rules. The analysis is limited to twenty years: 2000 - 2021.
The Federal State Statistics Service (FSSS) is the primary regional and national mortality data source. However, the raw data from this source has several drawbacks. The main problem is the absence of the distribution of persons with undetermined ages and/or causes of death. The data sets for this research are obtained from the Russian Fertility and Mortality Database (RFMD) of the Center for Demographic Research of the New Economic School. The RFMD database is based on the FSSS data but has a higher data quality due to the redistribution of deaths with the abovementioned characteristics. This source's population and mortality data contained the following variables: region, year, sex, age (5-year age groups from 0 to 85+), and cause of death.
Population data was obtained from the same source. The data were based on the 1989, 2002 and 2010 population censuses. It has been extrapolated to other years using annual statistics on mortality and births.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Other
入排标准
- 年龄范围
- 0 Years 至 100 Years(Child, Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Men and women of any age
- •Data record meets IARC/IACR Tools for Cancer Registries requirements
排除标准
- •Severe patient data missing from a record
结局指标
主要结局
Cause-specific survival
时间窗: From the date of diagnosis to the date of death (up to 10 years)
Rates calculated using Kaplan-Maier method.
Net survival
时间窗: From the date of diagnosis to the date of death (up to 10 years)
Net survival computed using Pohar-Perme method.
次要结局
未报告次要终点
