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肺癌诊断阶段的社会人口学不平等:一项基于法国人群的研究。

Socio-demographic inequalities in stage at diagnosis of lung cancer: A French population-based study.

作者信息

Quillet Alexandre, Le Stang Nolwenn, Meriau Nicolas, Isambert Nicolas, Defossez Gautier

机构信息

CHU de Poitiers, Service D'Information Médicale, F-86000 Poitiers, France; Université de Poitiers, CIC-INSERM, Axe SCALE-EPI, F-86000 Poitiers, France; CHU de Poitiers, Registre Général des Cancers de Poitou-Charentes, F-86000 Poitiers, France.

Université de Poitiers, CIC-INSERM, Axe SCALE-EPI, F-86000 Poitiers, France; CHU de Poitiers, Registre Général des Cancers de Poitou-Charentes, F-86000 Poitiers, France.

出版信息

Cancer Epidemiol. 2024 Apr;89:102522. doi: 10.1016/j.canep.2024.102522. Epub 2024 Jan 17.

Abstract

BACKGROUND

Diagnosing patients at a non-advanced stage has become a mainstay of lung cancer prevention and control strategies. Understanding socio-demographic inequalities in stage at diagnosis may improve the targeting of interventions on patients at higher risk. This study aimed to identify these socio-demographic determinants in a large-scale French population-based cancer registry.

METHODS

All incident lung cancers diagnosed between 2008 and 2019 identified from the Poitou-Charentes Cancer Registry (south-west France) were included. Stage at diagnosis was categorised as advanced/non-advanced (TNM III/IV vs I/II) according to the 8th TNM edition, the objective being to ensure a consistent level of prognosis over time. Socio-demographic variables included age, sex, the French European Deprivation Index (EDI) and patient's place of residence. Their impact on stage at diagnosis was quantified by multivariate logistic regression models with subgroup analyses by histological subtype.

RESULTS

Out of the 15,487 included patients, 75% were diagnosed at an advanced stage (66% to 95% depending on the histological subtype), 17% at a non-advanced stage and 10% at a non-specified stage. Multivariate analysis showed different patterns according to histological subtypes. In patients with adenocarcinoma, a higher risk of advanced stage was found for younger and older patients (u-shape), those most deprived, and those living in rural areas. The same effect of age was reported for squamous cell carcinomas, while no association was found for small-cell lung carcinomas.

CONCLUSIONS

This study highlighted substantial socio-demographic inequalities in stage at diagnosis, specifically for adenocarcinoma patients. Diagnosis strategies could be refined and strengthened in the non-smoker population, in which adenocarcinomas are mainly reported.

摘要

背景

在非晚期阶段诊断患者已成为肺癌防控策略的核心。了解诊断阶段的社会人口学不平等现象,可能有助于改进针对高危患者的干预措施。本研究旨在通过法国一个大规模的基于人群的癌症登记处,确定这些社会人口学决定因素。

方法

纳入2008年至2019年间在普瓦图-夏朗德癌症登记处(法国西南部)确诊的所有原发性肺癌患者。根据第8版TNM分期,将诊断阶段分为晚期/非晚期(TNM III/IV期与I/II期),目的是确保随时间推移预后水平的一致性。社会人口学变量包括年龄、性别、法国欧洲贫困指数(EDI)和患者居住地。通过多因素逻辑回归模型量化它们对诊断阶段的影响,并按组织学亚型进行亚组分析。

结果

在纳入的15487例患者中,75%在晚期确诊(根据组织学亚型,比例在66%至95%之间),17%在非晚期确诊,10%在未明确分期。多因素分析显示,不同组织学亚型呈现不同模式。在腺癌患者中,年龄较小和较大的患者(呈U形)、最贫困的患者以及居住在农村地区的患者,晚期诊断风险较高。鳞状细胞癌患者也有相同的年龄效应,而小细胞肺癌患者未发现相关性。

结论

本研究突出了诊断阶段存在显著的社会人口学不平等现象,特别是对于腺癌患者。在主要报告腺癌的非吸烟人群中,诊断策略可以进一步优化和加强。

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