SURVIMON: Survival Monitoring in Russian Cancer Registries

Sponsor

N.N. Petrov National Medical Research Center of Oncology (Other)

Overall Status

Active, not recruiting

CT.gov ID

NCT06043947

Collaborator

(none)

10,000

Enrollment

Location

Anticipated Duration (Months)

1663.3

Patients Per Site Per Month

Study Details

Study Description

Brief Summary

The purpose of this study is to establish a holistic framework for continuous surveillance of the survival in Russian regions with high-quality population-based cancer registry data. We use the data from the population-based cancer registries of the Northwestern regions of Russia to assess the trends of net and cause-specific survival. The population structure of the Northwestern federal districts is the oldest in Russia. In addition four out of ten regional cancer registries in this federal district meet international data quality requirements.

Condition or Disease	Intervention/Treatment	Phase
Melanoma Breast Cancer Oncology Colon Cancer Prostate Cancer Survivorship Lung Cancer Cervix Cancer

Detailed Description

Data sources Registries data The main sources of incidence data in Russia are population-based cancer registries. 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 control We applied a quality assessment to the datasets from population-based cancer registries (PBCRs). Essential variables were extracted in accordance with the recommended list. Individual data were used for the reconstruction of these datasets. The period of reconstruction was limited by the starting date of the data collection processes in regional PBCRs. National recommendations guide the content of corresponding variables stored in the registers (Ministry of Healthcare, 1999). As new information became available, the PBCRs updated the records.

The list of variables used in the analysis is presented in Table 2. It consists of two classes: original variables present in the data of the registers or other sources and synthetic variables calculated based on the original variables.

The software "IARC/IACR Tools for Cancer Registries" (IARC tools) was used for the data cleaning. ICD-O-3 codes were assigned to all cases by performing a multistep conversion. Duplicates were removed by applying IARC/IACR/ENCR multiple primary rules. The analysis is limited to the period of twenty years - 2000-2021.

Mortality data The Federal State Statistics Service (FSSS) is the primary source of regional and national mortality data. 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 (CDR NES). The RFMD database is based on the FSSS data but has a higher data quality due to redistribution of deaths with above mentioned characteristics. The same FSSS data is also used for the national reports on cancer incidence and mortality since 1998 to date \parencite. From this source we have obtained the population and mortality data with the corresponding covariates: region, year, sex, age (5-year age groups from 0 to 85+), and cause of death for cause specific mortality data.

Population data Population data is obtained from the same source \parencite. The data are based on the population censuses of 1989, 2002 and 2010. It has been extrapolated to other years using annual statistics on mortality and births.

Study Design

Study Type:

Observational [Patient Registry]

Anticipated Enrollment :

10000 participants

Observational Model:

Other

Time Perspective:

Other

Official Title:

Survival Monitoring in Russian Cancer Registries

Actual Study Start Date :

Aug 1, 2023

Anticipated Primary Completion Date :

Dec 31, 2023

Anticipated Study Completion Date :

Jan 31, 2024

Outcome Measures

Primary Outcome Measures

Net survival rates [From the date of diagnosis to the date of death (Up to 5 years)]
Age-standardized rates computed by applying Pohar-Perme method.
Cause-specific survival rates [From the date of diagnosis to the date of death (Up to 5 years)]
Rates calculated by applying Kaplan-Maier method.