Impact of cancer diagnosis on life expectancy by area-level socioeconomic groups in New South Wales, Australia: a population-based study.

IF 5.6 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Md Mijanur Rahman, Michael David, David Goldsbury, Karen Canfell, Kou Kou, Paramita Dasgupta, Peter Baade, Xue Qin Yu
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引用次数: 0

Abstract

Objective: Improvement in cancer survival over recent decades has not been accompanied by a narrowing of socioeconomic disparities. This study aimed to quantify the loss of life expectancy (LOLE) resulting from a cancer diagnosis and examine disparities in LOLE based on area-level socioeconomic status (SES).

Methods: Data were collected for all people between 50 and 89 years of age who were diagnosed with cancer, registered in the NSW Cancer Registry between 2001 and 2019, and underwent mortality follow-up evaluations until December 2020. Flexible parametric survival models were fitted to estimate the LOLE by gender and area-level SES for 12 common cancers.

Results: Of 422,680 people with cancer, 24% and 18% lived in the most and least disadvantaged areas, respectively. Patients from the most disadvantaged areas had a significantly greater average LOLE than patients from the least disadvantaged areas for cancers with high survival rates, including prostate [2.9 years (95% CI: 2.5-3.2 years) vs. 1.6 years (95% CI: 1.3-1.9 years)] and breast cancer [1.6 years (95% CI: 1.4-1.8 years) vs. 1.2 years (95% CI: 1.0-1.4 years)]. The highest average LOLE occurred in males residing in the most disadvantaged areas with pancreatic [16.5 years (95% CI: 16.1-16.8 years) vs. 16.2 years (95% CI: 15.7-16.7 years)] and liver cancer [15.5 years (95% CI: 15.0-16.0 years) vs. 14.7 years (95% CI: 14.0-15.5 years)]. Females residing in the least disadvantaged areas with thyroid cancer [0.9 years (95% CI: 0.4-1.4 years) vs. 0.6 years (95% CI: 0.2-1.0 years)] or melanoma [0.9 years (95% CI: 0.8-1.1 years) vs. 0.7 years (95% CI: 0.5-0.8 years)] had the lowest average LOLE.

Conclusions: Patients from the most disadvantaged areas had the highest LOLE with SES-based differences greatest for patients diagnosed with cancer at an early stage or cancers with higher survival rates, suggesting the need to prioritise early detection and reduce treatment-related barriers and survivorship challenges to improve life expectancy.

澳大利亚新南威尔士州按地区社会经济群体分列的癌症诊断对预期寿命的影响:一项基于人口的研究。
目的:近几十年来,癌症生存率的提高并没有伴随着社会经济差距的缩小。本研究旨在量化癌症诊断导致的预期寿命损失(LOLE),并根据地区社会经济地位(SES)研究预期寿命损失的差异:收集了所有在 2001 年至 2019 年期间被诊断患有癌症、在新南威尔士州癌症登记处登记并在 2020 年 12 月之前接受死亡率随访评估的 50 至 89 岁人群的数据。我们拟合了灵活的参数生存模型,以估算12种常见癌症在性别和地区社会经济水平方面的LOLE:在 422 680 名癌症患者中,分别有 24% 和 18% 生活在最贫困地区和最不贫困地区。在前列腺癌[2.9 年(95% CI:2.5-3.2 年)与 1.6 年(95% CI:1.3-1.9 年)]和乳腺癌[1.6 年(95% CI:1.4-1.8 年)与 1.2 年(95% CI:1.0-1.4 年)]等生存率较高的癌症中,来自最贫困地区的患者的平均 LOLE 明显高于来自最不贫困地区的患者。居住在最贫困地区的男性患胰腺癌[16.5 年(95% CI:16.1-16.8 年)vs 16.2 年(95% CI:15.7-16.7 年)]和肝癌[15.5 年(95% CI:15.0-16.0 年)vs 14.7 年(95% CI:14.0-15.5 年)]的平均 LOLE 最高。居住在最贫困地区的女性甲状腺癌[0.9年(95% CI:0.4-1.4年)vs 0.6年(95% CI:0.2-1.0年)]或黑色素瘤[0.9年(95% CI:0.8-1.1年)vs 0.7年(95% CI:0.5-0.8年)]的平均LOLE最低:结论:来自最贫困地区的患者的 LOLE 最高,早期诊断癌症或生存率较高的癌症患者的 SES 差异最大,这表明需要优先考虑早期检测,减少治疗相关障碍和生存挑战,以提高预期寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancer Biology & Medicine
Cancer Biology & Medicine Medicine-Oncology
CiteScore
9.80
自引率
3.60%
发文量
1143
审稿时长
12 weeks
期刊介绍: Cancer Biology & Medicine (ISSN 2095-3941) is a peer-reviewed open-access journal of Chinese Anti-cancer Association (CACA), which is the leading professional society of oncology in China. The journal quarterly provides innovative and significant information on biological basis of cancer, cancer microenvironment, translational cancer research, and all aspects of clinical cancer research. The journal also publishes significant perspectives on indigenous cancer types in China.
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