Geospatial patterns by cancer stage across Australia for three common cancers

IF 2.4 3区 医学 Q3 ONCOLOGY
Susanna M. Cramb , Jessica Cameron , Paramita Dasgupta , Peter D. Baade
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引用次数: 0

Abstract

Background

Monitoring cancer stage is vital to interpret cancer incidence and survival patterns, yet there are currently no cancer stage estimates by small areas across Australia, despite demonstrated large disparities in cancer incidence and survival. While cancer stage data is not routinely collected in Australia, a pilot project collected stage information nationwide in 2011.

Methods

Data on all primary invasive melanoma, female breast and prostate cancers (stages 1–4) diagnosed during 2011 in Australia were categorised into early and intermediate/advanced stage at diagnosis. Bayesian spatial models were used to estimate standardised incidence rates (SIRs) and proportions of cancer stage across 2148 statistical areas level 2. The correlation between early and more advanced cancer rates was explored using exceedance probabilities.

Results

Both melanoma and prostate cancer had mainly early stage diagnoses. There was large variation in rates across the nation, and also substantial correlation between SIRs of early and more advanced stage for melanoma and prostate cancer. In contrast, breast cancer had a higher proportion of advanced cancers diagnosed, less pronounced variation in rates and limited correlation between early and more advanced stage SIRs. The proportion of cases diagnosed as early stage varied across Australia by type of cancer.

Conclusion

This study uncovered important spatial patterns in the diagnosis of cancer by stage across the country, which varied by cancer type and location. There is an urgent need to have contemporary information about stage at diagnosis routinely included in population-based cancer registries across the country.
澳大利亚三种常见癌症分期的地理空间分布。
背景:监测癌症分期对于解释癌症发病率和生存模式至关重要,然而目前澳大利亚没有小范围的癌症分期估计,尽管癌症发病率和生存存在巨大差异。虽然澳大利亚没有定期收集癌症分期数据,但2011年,一个试点项目在全国范围内收集了癌症分期信息。方法:2011年澳大利亚诊断的所有原发性侵袭性黑色素瘤、女性乳腺癌和前列腺癌(1-4期)的数据在诊断时被分为早期和中期/晚期。使用贝叶斯空间模型估计2148个统计区域的标准化发病率(SIRs)和癌症分期比例。早期和晚期癌症发病率之间的相关性利用超越概率进行了探讨。结果:黑色素瘤和前列腺癌均以早期诊断为主。全国各地的发病率差异很大,黑色素瘤和前列腺癌的早期和晚期SIRs之间也有很大的相关性。相比之下,乳腺癌的晚期癌症诊断比例更高,发病率变化不太明显,早期和晚期SIRs之间的相关性有限。在澳大利亚,早期诊断的病例比例因癌症类型而异。结论:本研究揭示了全国癌症分期诊断的重要空间格局,这种格局因癌症类型和位置而异。迫切需要在全国范围内以人群为基础的癌症登记中常规纳入关于诊断阶段的当代信息。
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 Epidemiology
Cancer Epidemiology 医学-肿瘤学
CiteScore
4.50
自引率
3.80%
发文量
200
审稿时长
39 days
期刊介绍: Cancer Epidemiology is dedicated to increasing understanding about cancer causes, prevention and control. The scope of the journal embraces all aspects of cancer epidemiology including: • Descriptive epidemiology • Studies of risk factors for disease initiation, development and prognosis • Screening and early detection • Prevention and control • Methodological issues The journal publishes original research articles (full length and short reports), systematic reviews and meta-analyses, editorials, commentaries and letters to the editor commenting on previously published research.
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