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利用三种方法和当地调查估计,预测斯威士兰的宫颈癌发病率。

Projected cervical Cancer incidence in Swaziland using three methods and local survey estimates.

机构信息

Discipline of Public Health, School of Nursing and Public Health, University of KwaZulu-Natal, Howard College Campus, 2nd Floor George Campbell Building, Mazisi Kunene Road, Durban, 4041, South Africa.

出版信息

BMC Cancer. 2018 Jun 7;18(1):639. doi: 10.1186/s12885-018-4540-1.

Abstract

BACKGROUND

The scarcity of country data (e.g. a cancer registry) for the burden of cervical cancer (CC) in low-income countries (LCIs) such as Swaziland remains a huge challenge. Such data are critical to inform local decision-making regarding resource allocation [1]. We aimed to estimate likely cervical cancer incidence in Swaziland using three different methodologies (triangulation), to help better inform local policy guidance regarding likely higher "true" burden and increased resource allocation required for treatment, cervical cancer screening and HPV vaccine implementation.

METHODS

Three methods were applied to estimate CC incidence, namely: 1) application of age-specific CC incidence rates for Southern African region from GLOBOCAN 2012 extrapolated to the 2014 Swaziland female population; 2) a linear regression based model with transformed age-standardised CC incidence against hr-HPV (with and without HIV as a covariate) prevalence among women with normal cervical cytology; and 3) a mathematical model, using a natural history approach based on parameter estimates from various available literature and local survey estimates. We then triangulated estimates and uncertainty from the three models to estimate the most likely CC incidence rate for Swaziland in 2015.

RESULTS

The projected incidence estimates for models 1-3 were 69.4 (95% CI: 66.7-72.1), 62.6 per 100,000 (95%CI: 53.7-71.8) and 44.6 per 100,000 (41.5 to 52.1) respectively. Model 2 with HIV prevalence as covariate estimated a higher CC incidence rate estimate of 101.1 per 100,000 (95%CI: 90.3-112.2). The triangulated ('averaged') age-standardized CC incidence based across the 3 models for 2015 was estimated at 69.4 per 100,000 (95% CI: 63.0-77.1) in Swaziland.

CONCLUSION

It is widely accepted that cancer incidence (and in this case CC) is underestimated in settings with poor and lacking registry data. Our findings suggest that the projected burden of CC is higher than that suggested from other sources. Local health policy decisions and decision-makers need to re-assess resource allocation to prevent and treat CC effectively, which is likely to persist given the very high burden of hr-HPV within the country.

摘要

背景

在斯威士兰等低收入国家(LCIs),有关宫颈癌(CC)负担的国家数据(例如癌症登记处)稀缺仍然是一个巨大的挑战。这些数据对于为资源分配提供本地决策信息至关重要[1]。我们旨在使用三种不同的方法(三角测量)来估计斯威士兰可能的宫颈癌发病率,以帮助更好地告知当地政策指导,以了解可能更高的“真实”负担,并为治疗、宫颈癌筛查和 HPV 疫苗实施提供更多资源。

方法

应用了三种方法来估计 CC 发病率,即:1)应用 2012 年全球癌症统计数据(GLOBOCAN)中南部非洲地区的特定年龄 CC 发病率,外推至 2014 年斯威士兰女性人口;2)基于线性回归模型,将年龄标准化的 CC 发病率与正常宫颈细胞学的女性中 hr-HPV(包括和不包括 HIV 作为协变量)的流行率进行转换;3)一种数学模型,使用基于各种现有文献和本地调查估计的参数估计的自然史方法。然后,我们对三种模型的估计值和不确定性进行三角测量,以估计 2015 年斯威士兰最可能的 CC 发病率。

结果

模型 1-3 的预测发病率估计值分别为 69.4(95%CI:66.7-72.1)、62.6/100,000(95%CI:53.7-71.8)和 44.6/100,000(41.5-52.1)。具有 HIV 流行率作为协变量的模型 2 估计 CC 发病率更高,为 101.1/100,000(95%CI:90.3-112.2)。在三种模型的基础上,2015 年的三角化(“平均”)年龄标准化 CC 发病率估计为 69.4/100,000(95%CI:63.0-77.1)。

结论

人们普遍认为,在缺乏登记处数据的情况下,癌症发病率(在此情况下为 CC)被低估。我们的研究结果表明,预测的 CC 负担高于其他来源所建议的负担。地方卫生政策决策者需要重新评估资源分配,以有效预防和治疗 CC,鉴于该国 hr-HPV 的负担非常高,这种情况可能会持续存在。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a42a/5992849/e91380706428/12885_2018_4540_Fig1_HTML.jpg

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