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非洲、亚洲、加勒比地区和中美洲的癌症生存率:数据库与属性

Cancer survival in Africa, Asia, the Caribbean and Central America: database and attributes.

作者信息

Swaminathan R, Lucas E, Sankaranarayanan R

机构信息

Division of Epidemiology and Cancer Registry, Cancer Institute (W.I.A), Chennai, Tamil Nadu, India.

出版信息

IARC Sci Publ. 2011(162):23-31.

PMID:21675403
Abstract

Thirty-one registries in 17 countries submitted data for systematic and centralized scrutiny. Data on 564 606 cases of different cancers ranging 1-56 sites/types from 27 registries in 14 low-/medium-resource countries in Eastern and Western Africa, the Caribbean, Central America and four regions of Asia, registered during 1990-2001 (period varying for individual registries) were reported. The database for this survival study comprised data that were classified as mandatory and optional. Mandatory variables provided by all registries included case-ID, age at diagnosis, sex, incidence date, most valid basis of diagnosis, cancer site/type (ICD-10 codes C00-96), vital status at follow-up and corresponding date. Clinical extent of disease was prominent among the optional variables provided by 17 registries and analysed. The grouping of cancer sites for analysis was based on standard norms, and only categories with at least 25 cases were reported. Cases registered based on a death certificate only, cases lacking any follow-up after initial registration, or cases rejected based on validation checks were excluded from the survival analysis. An easy guide to contents in subsequent chapters, especially tables and graphs describing data quality indices, survival statistics and online dynamic functions, is provided.

摘要

17个国家的31个登记处提交了数据,以供系统和集中审查。报告了1990年至2001年期间(各登记处时间不同)在东非和西非、加勒比、中美洲以及亚洲四个地区的14个中低收入国家的27个登记处登记的564606例不同癌症病例的数据,这些癌症涉及1至56个部位/类型。这项生存研究的数据库包含被分类为强制性和可选性的数据。所有登记处提供的强制性变量包括病例ID、诊断时年龄、性别、发病日期、最有效的诊断依据、癌症部位/类型(ICD-10编码C00-96)、随访时的生命状态及相应日期。疾病的临床分期在17个登记处提供并分析的可选变量中较为突出。分析时癌症部位的分组基于标准规范,仅报告至少有25例病例的类别。仅基于死亡证明登记的病例、初次登记后没有任何随访的病例或经验证检查后被拒绝的病例被排除在生存分析之外。提供了后续章节内容的简易指南,特别是描述数据质量指标、生存统计和在线动态功能的表格和图表。

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