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2008-2017 年俄罗斯西北部地区癌症登记数据的完整性。

Completeness of regional cancer registry data in Northwest Russia 2008-2017.

机构信息

Institute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa 1, 191187, St. Petersburg, Russia.

NN Petrov National Medical Research Center of Oncology, Pesochny, Leningradskaya Ulitsa 68, 197758, St. Petersburg, Russia.

出版信息

BMC Cancer. 2023 Oct 18;23(1):994. doi: 10.1186/s12885-023-11492-z.

DOI:10.1186/s12885-023-11492-z
PMID:37853404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10585853/
Abstract

BACKGROUND

A national framework for population-based cancer registration was established in Russia in the late 1990s. Data comparability and validity analyses found substantial differences across ten population-based cancer registries (PBCRs)in Northwest Russia, and only four out of ten met international standards. This study aimed to assess the completeness of the PBCR data of those registries.

METHODS

Qualitative and quantitative methods recommended for completeness and timeliness assessment were applied to the data from ten Russian regional PBCRs in Northwest Russia, covering a population of 13 million. We used historic data methods (using several European PBCRs reference rates), mortality-to-incidence ratios (M:I) comparison, and death certificate methods to calculate the proportion of unregistered cases (Lincoln-Petersen estimator and Ajiki formula).

RESULTS

Incidence rate trends of different cancer types were stable over time (except one region - Leningrad oblast). A slight drop in incidence rates in older age groups for several sites in the Northwestern regions was observed compared to the reference from European countries. Comparing M:I ratios against five-year survival revealed systematic differences in Leningrad oblast and Vologda oblast. Assessment of completeness revealed low or unrealistic estimates in Leningrad oblast and completeness below 90% in St. Petersburg. In other regions, the completeness was above 90%. The national annual report between 2008-2017 did not include about 10% of the cases collected later in the registry database of St. Petersburg. This difference was below 3% for Arkhangelsk oblast, Murmansk oblast, Novgorod oblast, Vologda oblast and the Republic of Karelia.

CONCLUSIONS

Eight out of ten regional PBCRs in Northwest Russia collected data with an acceptable degree of completeness. Mostly populated St. Petersburg and Leningrad oblast did not reach such completeness. PBCR data from several regions in Northwest Russia are suitable for epidemiological research and monitoring cancer control activities.

摘要

背景

20 世纪 90 年代末,俄罗斯建立了全国性的基于人群的癌症登记框架。数据可比性和有效性分析发现,俄罗斯西北部的 10 个基于人群的癌症登记处(PBCR)之间存在很大差异,只有 10 个中有 4 个符合国际标准。本研究旨在评估这些登记处的 PBCR 数据的完整性。

方法

应用定性和定量方法评估了俄罗斯西北部 10 个地区 PBCR 的数据完整性和及时性,覆盖了 1300 万人口。我们使用历史数据方法(使用几个欧洲 PBCR 参考率)、死亡率与发病率比(M:I)比较以及死亡证明方法来计算未登记病例的比例(Lincoln-Petersen 估计值和 Ajiki 公式)。

结果

不同癌症类型的发病率趋势随时间保持稳定(除一个地区-列宁格勒州)。与欧洲国家的参考数据相比,西北地区几个部位的老年组发病率略有下降。将 M:I 比值与 5 年生存率进行比较,发现列宁格勒州和沃洛格达州存在系统差异。完整性评估显示,列宁格勒州和圣彼得堡的完整性较低或不切实际,圣彼得堡的完整性低于 90%。在其他地区,完整性高于 90%。2008-2017 年的国家年度报告未包括圣彼得堡登记处数据库中后来收集的约 10%的病例。这种差异在阿尔汉格尔斯克州、摩尔曼斯克州、诺夫哥罗德州、沃洛格达州和卡累利阿共和国低于 3%。

结论

俄罗斯西北部的 10 个地区 PBCR 中有 8 个收集的数据具有可接受的完整性程度。人口最多的圣彼得堡和列宁格勒州没有达到这样的完整性。俄罗斯西北部几个地区的 PBCR 数据适合进行流行病学研究和监测癌症控制活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9ad/10585853/6de48423f90b/12885_2023_11492_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9ad/10585853/afa01054d248/12885_2023_11492_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9ad/10585853/b36b890dbe21/12885_2023_11492_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9ad/10585853/392aaf38f994/12885_2023_11492_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9ad/10585853/6de48423f90b/12885_2023_11492_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9ad/10585853/afa01054d248/12885_2023_11492_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9ad/10585853/b36b890dbe21/12885_2023_11492_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9ad/10585853/392aaf38f994/12885_2023_11492_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9ad/10585853/6de48423f90b/12885_2023_11492_Fig4_HTML.jpg

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