区域社会经济劣势与非小细胞肺癌患者免疫治疗的关系

IF 3.1 2区 医学 Q2 ONCOLOGY
Cancer Medicine Pub Date : 2025-07-10 DOI:10.1002/cam4.71038
Hiroe Suzuki-Chiba, Atsushi Miyawaki, Taiki Hakozaki, Shotaro Aso, Hiroki Matsui, Hideo Yasunaga
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引用次数: 0

摘要

背景免疫治疗的最新进展提高了非小细胞肺癌(NSCLC)患者的生存率。然而,关于患者社会经济地位(SES)与免疫疗法使用之间关系的数据仍然很少。我们研究了日本IV期NSCLC患者区域水平SES与免疫疗法使用之间的关系。方法采用国家住院患者数据库中的数据进行分析。分析2016年4月至2022年3月,年龄≥18岁,住院的IV期NSCLC患者,分别接受免疫治疗、免疫治疗联合铂类化疗、铂类化疗单独作为一线药物治疗。区域等级的社会经济地位是用区域剥夺指数来衡量的,并按四分位数进行分类。主要结果是使用免疫疗法作为一线治疗。采用多元线性回归模型,对患者特征、年龄和医院固定效应进行调整。结果843家医院共纳入47291例患者,其中22205例(47%)接受了免疫治疗。调整后的分析显示,与最弱势地区的患者相比,最弱势地区的患者接受免疫治疗的可能性更低(调整后的差异为- 2.0个百分点[pp];95%置信区间为−3.6 ~−0.5 pp;p = 0.01)。虽然不显著,但这一趋势在按城市和癌症指定医院分层时仍然存在。然而,在调整医院固定效应后,这种差异不再显著。结论:在日本,由于普遍的公共健康保险和较低的自付费用,生活在社会经济条件较差的地区与IV期非小细胞肺癌患者较低的免疫治疗使用率相关。这些差异在使用医院固定效应的同一家医院内消失了;然而,这种差异在城市、非学术医院和癌症指定医院中往往持续存在。这些发现表明,需要采取干预措施来解决结构性障碍,包括医院内部的障碍,以优化非小细胞肺癌治疗并减少健康差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Association Between Area-Level Socioeconomic Disadvantage and Immunotherapy in Patients With Non-Small Cell Lung Cancer

Association Between Area-Level Socioeconomic Disadvantage and Immunotherapy in Patients With Non-Small Cell Lung Cancer

Background

Recent advances in immunotherapy have improved the survival of patients with non-small cell lung cancer (NSCLC). However, data on the association between patient socioeconomic status (SES) and the use of immunotherapy remain scarce. We examined the association between area-level SES and immunotherapy use in patients with stage IV NSCLC in Japan.

Methods

Data from a national inpatient database were used for this analysis. Patients aged ≥ 18 years, hospitalized for stage IV NSCLC, and treated with immunotherapy alone, immunotherapy combined with platinum-based chemotherapy, and platinum-based chemotherapy alone as first-line pharmacotherapy from April 2016 to March 2022 were analyzed. Area-level SES was measured using the area deprivation index and categorized into quartiles. The primary outcome was the use of immunotherapy as a first-line treatment. A multivariate linear regression model was used, adjusted for patient characteristics, years, and hospital fixed effects.

Results

A total of 47,291 eligible patients from 843 hospitals, with 22,205 (47%) receiving immunotherapy. Adjusted analyses showed that patients in the most disadvantaged area were less likely to receive immunotherapy compared with those in the least disadvantaged area (adjusted difference, −2.0 percentage points [pp]; 95% confidence interval, −3.6 to −0.5 pp; p = 0.01). Although not significant, this trend persisted when stratified by urban and cancer-designated hospitals. However, this difference was no longer significant after adjusting for hospital fixed effects.

Conclusion

In Japan, with universal public health insurance with low out-of-pocket costs, living in a socioeconomically disadvantaged area is associated with lower rates of immunotherapy use among patients with stage IV NSCLC. These disparities disappeared within the same hospitals using hospital fixed effects; however, such disparities tended to persist in urban, non-academic, and cancer-designated hospitals. These findings suggest the need for interventions to address the structural barriers, including those within the hospitals, to optimize NSCLC treatment and reduce health disparities.

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来源期刊
Cancer Medicine
Cancer Medicine ONCOLOGY-
CiteScore
5.50
自引率
2.50%
发文量
907
审稿时长
19 weeks
期刊介绍: Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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