Suppr超能文献

将初级保健记录与人口普查数据相链接,以研究南欧社会经济地位与癌症发病率之间的关联:一项全国性生态研究。

Linking of primary care records to census data to study the association between socioeconomic status and cancer incidence in Southern Europe: a nation-wide ecological study.

作者信息

Garcia-Gil Maria, Elorza Josep-Maria, Banque Marta, Comas-Cufí Marc, Blanch Jordi, Ramos Rafel, Méndez-Boo Leonardo, Hermosilla Eduardo, Bolibar Bonaventura, Prieto-Alhambra Daniel

机构信息

Research Unit, Family Medicine, Girona, Spain, and Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), Catalunya, Spain; Translab Research Group, Department of Medical Sciences, School of Medicine, University of Girona, Catalunya, Spain.

Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), Catalunya, Spain.

出版信息

PLoS One. 2014 Oct 20;9(10):e109706. doi: 10.1371/journal.pone.0109706. eCollection 2014.

Abstract

BACKGROUND

Area-based measures of economic deprivation are seldom applied to large medical records databases to establish population-scale associations between deprivation and disease.

OBJECTIVE

To study the association between deprivation and incidence of common cancer types in a Southern European region.

METHODS

Retrospective ecological study using the SIDIAP (Information System for the Development of Research in Primary Care) database of longitudinal electronic medical records for a representative population of Catalonia (Spain) and the MEDEA index based on urban socioeconomic indicators in the Spanish census. Study outcomes were incident cervical, breast, colorectal, prostate, and lung cancer in 2009-2012. The completeness of SIDIAP cancer recording was evaluated through linkage of a geographic data subset to a hospital cancer registry. Associations between MEDEA quintiles and cancer incidence was evaluated using zero-inflated Poisson regression adjusted for sex, age, smoking, alcoholism, obesity, hypertension, and diabetes.

RESULTS

SIDIAP sensitivity was 63% to 92% for the five cancers studied. There was direct association between deprivation and lung, colorectal, and cervical cancer: incidence rate ratios (IRR) 1.82 [1.64-2.01], IRR 1.60 [1.34-1.90], IRR 1.22 [1.07-1.38], respectively, comparing the most deprived to most affluent areas. In wealthy areas, prostate and breast cancers were more common: IRR 0.92 [0.80-1.00], IRR 0.91 [0.78-1.06]. Adjustment for confounders attenuated the association with lung cancer risk (fully adjusted IRR 1.16 [1.08-1.25]), reversed the direction of the association with colorectal cancer (IRR 0.90 [0.84-0.95]), and did not modify the associations with cervical (IRR 1.27 [1.11-1.45]), prostate (0.74 [0.69-0.80]), and breast (0.76 [0.71-0.81]) cancer.

CONCLUSIONS

Deprivation is associated differently with the occurrence of various cancer types. These results provide evidence that MEDEA is a useful, area-based deprivation index for analyses of the SIDIAP database. This information will be useful to improve screening programs, cancer prevention and management strategies, to reach patients more effectively, particularly in deprived urban areas.

摘要

背景

基于区域的经济剥夺指标很少应用于大型医疗记录数据库,以建立剥夺与疾病之间的人群规模关联。

目的

研究南欧某地区剥夺与常见癌症类型发病率之间的关联。

方法

采用回顾性生态学研究,使用西班牙加泰罗尼亚代表性人群的纵向电子病历SIDIAP(初级保健研究发展信息系统)数据库以及基于西班牙人口普查城市社会经济指标的MEDEA指数。研究结局为2009 - 2012年发生的宫颈癌、乳腺癌、结直肠癌、前列腺癌和肺癌。通过将地理数据子集与医院癌症登记处进行关联,评估SIDIAP癌症记录的完整性。使用零膨胀泊松回归评估MEDEA五分位数与癌症发病率之间的关联,并对性别、年龄、吸烟、酗酒、肥胖、高血压和糖尿病进行调整。

结果

SIDIAP对所研究的五种癌症的敏感性为63%至92%。剥夺与肺癌、结直肠癌和宫颈癌之间存在直接关联:将最贫困地区与最富裕地区进行比较,发病率比(IRR)分别为1.82 [1.64 - 2.01]、1.60 [1.34 - 1.90]、1.22 [1.07 - 1.38]。在富裕地区,前列腺癌和乳腺癌更为常见:IRR分别为0.92 [0.80 - 1.00]、0.91 [0.78 - 1.06]。对混杂因素进行调整后,与肺癌风险的关联减弱(完全调整后的IRR为1.16 [1.08 - 1.25]),与结直肠癌的关联方向逆转(IRR为0.90 [0.84 - 0.95]),而与宫颈癌(IRR为1.27 [1.11 - 1.45])、前列腺癌(0.74 [0.69 - 0.80])和乳腺癌(0.76 [0.71 - 0.81])的关联未改变。

结论

剥夺与各种癌症类型的发生存在不同的关联。这些结果提供了证据,表明MEDEA是用于分析SIDIAP数据库的一个有用的基于区域的剥夺指数。该信息将有助于改进筛查计划、癌症预防和管理策略,以更有效地接触患者,特别是在贫困城市地区。

相似文献

引用本文的文献

本文引用的文献

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