Suppr超能文献

EUROlinkCAT 方案:一项基于欧洲人群的数据分析研究,旨在调查先天性异常儿童的生存率、发病率和教育状况。

EUROlinkCAT protocol for a European population-based data linkage study investigating the survival, morbidity and education of children with congenital anomalies.

机构信息

Population Health Research Institute, St George's University of London, London, UK

Paediatric Department, Hospital Lillebaelt, Kolding, Denmark.

出版信息

BMJ Open. 2021 Jun 28;11(6):e047859. doi: 10.1136/bmjopen-2020-047859.

Abstract

INTRODUCTION

Congenital anomalies (CAs) are a major cause of infant mortality, childhood morbidity and long-term disability. Over 130 000 children born in Europe every year will have a CA. This paper describes the EUROlinkCAT study, which is investigating the health and educational outcomes of children with CAs for the first 10 years of their lives.

METHODS AND ANALYSIS

EUROCAT is a European network of population-based registries for the epidemiological surveillance of CAs. EUROlinkCAT is using the EUROCAT infrastructure to support 22 EUROCAT registries in 14 countries to link their data on births with CAs to mortality, hospital discharge, prescription and educational databases. Once linked, each registry transforms their case data into a common data model (CDM) format and they are then supplied with common STATA syntax scripts to analyse their data. The resulting aggregate tables and analysis results are submitted to a central results repository (CRR) and meta-analyses are performed to summarise the results across all registries. The CRR currently contains data on 155 594 children with a CA followed up to age 10 from a population of 6 million births from 1995 to 2014.

ETHICS

The CA registries have the required ethics permissions for routine surveillance and transmission of anonymised data to the EUROCAT central database. Each registry is responsible for applying for and obtaining additional ethics and other permissions required for their participation in EUROlinkCAT.

DISSEMINATION

The CDM and associated documentation, including linkage and standardisation procedures, will be available post-EUROlinkCAT thus facilitating future local, national and European-level analyses to improve healthcare. Recommendations to improve the accuracy of routinely collected data will be made.Findings will provide evidence to inform parents, health professionals, public health authorities and national treatment guidelines to optimise diagnosis, prevention and treatment for these children with a view to reducing health inequalities in Europe.

摘要

引言

先天性异常(CA)是婴儿死亡、儿童发病和长期残疾的主要原因。欧洲每年出生的超过 130000 名儿童将患有 CA。本文描述了 EUROlinkCAT 研究,该研究正在调查儿童 CA 出生后前 10 年的健康和教育结果。

方法与分析

EUROCAT 是一个欧洲人口基础登记处网络,用于对 CA 进行流行病学监测。EUROlinkCAT 正在利用 EUROCAT 基础设施支持 14 个国家的 22 个 EUROCAT 登记处,将其关于出生时伴有 CA 的病例数据与死亡率、住院出院、处方和教育数据库进行链接。链接完成后,每个登记处将其病例数据转换为通用数据模型(CDM)格式,并提供通用 STATA 语法脚本用于分析数据。生成的汇总表和分析结果提交给中央结果存储库(CRR),并进行荟萃分析以总结所有登记处的结果。CRR 目前包含 1995 年至 2014 年期间,从 600 万例出生人口中跟踪到 10 岁的患有 CA 的 155594 名儿童的数据。

伦理

CA 登记处具有进行常规监测和将匿名数据传输到 EUROCAT 中央数据库的必要伦理许可。每个登记处负责申请并获得其参与 EUROlinkCAT 所需的额外伦理和其他许可。

传播

CDM 及相关文档,包括链接和标准化程序,将在 EUROlinkCAT 之后提供,从而促进未来的本地、国家和欧洲层面的分析,以改善医疗保健。将提出改进常规收集数据准确性的建议。研究结果将为家长、卫生专业人员、公共卫生当局和国家治疗指南提供证据,以优化这些儿童的诊断、预防和治疗,从而减少欧洲的健康不平等。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec3a/8240574/e2fe99ff3b9a/bmjopen-2020-047859f01.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验