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A Model Approach to Calculate Cancer Prevalence from 5 Years Survival Data for Selected Cancer Sites in India - Part II

机译:一种模型方法来计算印度选定癌症遗址5年生存数据的癌症患病率 - 第二部分

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Objective: Prevalence is a statistic of primary interest in public health. In the absence of good follow-up facilities, it is often difficult to assess the complete prevalence of cancer for a given registry area. An attempt is made to arrive at the complete prevalence including limited duration prevalence with respect of selected sites of cancer for India by fitting appropriate models to 1, 3 and 5 year cancer survival data available for selected registries of India. Methodology: Cancer survival data, available for the registries of Bhopal, Chennai, Karunagappally, and Mumbai was pooled to generate survival for the selected cancer sites. With the available data on survival for 1, 3 and 5 years, a model was fitted and the survival curve was extended beyond 5 years (up to 30 years) for each of the selected sites. This helped in generation of survival proportions by single year and thereby survival of cancer cases. With the help of estimated survived cases available year wise and the incidence, the prevalence figures were arrived for selected cancer sites and for selected periods. In our previous paper, we have dealt with the cancer sites of breast, cervix, ovary, lung, stomach and mouth (Takiar and Jayant, 2013). Results: The prevalence to incidence ratio (PI ratio) was calculated for 30 years duration for all the selected cancer sites using the model approach showing that from the knowledge of incidence and P/I ratio, the prevalence can be calculated. The validity of the approach was shown in our previous paper (Takiar and Jayant, 2013). The P/I ratios for the cancer sites of lip, tongue, oral cavity, hypopharynx, oesophagus, larynx, nhl, colon, prostate, lymphoid leukemia, myeloid leukemia were observed to be 10.26, 4.15, 5.89, 2.81, 1.87, 5.43, 5.48, 5.24, 4.61, 3.42 and 2.65, respectively. Conclusion: Cancer prevalence can be readily estimated with use of survival and incidence data.
机译:目的:患病率公共卫生主要关注的统计数据。在没有良好的后续设施,它往往是难以评估的癌症发病率完全针对给定的注册区域。试图在整个患病期间,包括有限的患病率相对于印度的癌症所选网站的通过拟合合适的模型,以供印度选择的登记1,3,5年癌症存活率数据到达。方法:癌症存活率数据,可用于博帕尔,钦奈,Karunagappally和孟买的登记处汇集到产生选定癌症部位存活。随着对1,3和5年存活的可用数据时,模型拟合和存活曲线延伸超过5年(长达30年)为每个所选择的位点。这有助于一年中生存比例,从而生存癌症病例。随着估计存活的情况下帮助提供一年明智和发病率,患病率数字是抵达选择癌症部位和选定的时期。在我们以前的文章中,我们已经处理了乳腺癌,宫颈癌,卵巢癌,肺癌,胃癌和嘴(Takiar和贾扬,2013年)的癌症部位。结果:患病于入射比率(PI比)计算了30年的持续时间对于所有使用表示从入射和P / I比的知识,患病可以计算模型的方法所选择的癌症部位。该方法的有效性被证明在我们以前的论文(Takiar和贾扬,2013年)。在P / I比为唇癌,舌癌,口腔癌,下咽,食道,喉,非霍奇金淋巴瘤,结肠癌,前列腺癌,淋巴样白血病的癌症部位,髓细胞性白血病中观察到10.26,4.15,5.89,2.81,1.87,5.43, 5.48,5.24,4.61,3.42和2.65,分别。结论:癌症患病可以使用生存和发病率数据来容易地估计。

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