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首页> 外文期刊>Emerging themes in epidemiology >Methodological issues in estimating survival in patients with multiple primary cancers: an application to women with breast cancer as a first tumour
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Methodological issues in estimating survival in patients with multiple primary cancers: an application to women with breast cancer as a first tumour

机译:估计多种原发癌患者生存率的方法学问题:在乳腺癌为首发肿瘤的女性中的应用

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Background Comparing survival of patients with a single tumour and patients with multiple primaries poses different methodological problems. In population based studies, where we cannot rely on detailed clinical information, the issue is disentangling the share of survival probability from the first and second cancer, and their compounded effect. We examined three hypotheses: A) the survival probability since the first tumour does not change with the occurrence of a second tumour; B) the probability of surviving a tumour does not change with the presence of a previous primary; C) the probabilities of surviving two subsequent primary tumours are independent (additivity hypothesis on mortality rates). Methods We studied the survival probabilities modelling mortality rates according to hypotheses A), B) and C). Mortality rates were calculated using Aalen-Johansen estimators which allowed to discount for the lag-time survival before developing a second tumour. We applied this approach to a cohort of 436 women with breast cancer (BC) and a subsequent tumour in the resident population of Turin, Italy, between 1985 and 2002. Results We presented our results in term of a Standardised Mortality Ratio calculated (SMRAJ) after 10 years of follow-up. For hypothesis A we observed a significant excess mortality of 2.21 (95% C.I. 1.94 – 2.45). Concerning hypothesis B we found a not significant SMRAJ of 0.98 (95% C.I. 0.87 – 1.10). The additivity hypothesis (C) was not confirmed as it overestimated the risk of death, in fact SMRsAJ were all below 1: 0.75 (95% C.I. 0.66 – 0.84) for BC and all subsequent cancers, 0.72 (95% C.I. 0.55 – 0.94) for BC and colon-rectum cancer, 0.76 (95% C.I. 0.48 – 1.14) for BC and corpus uteri cancer (not significant). Conclusion This method proved to be useful in disentangling the effect of different subsequent cancers on mortality. In our application it shows a worse long-term mortality for women with two cancers than that with BC only. However, the increase in mortality was lower than expected under the additivity assumption.
机译:背景比较具有单个肿瘤的患者和具有多个原发性患者的存活存在不同的方法学问题。在基于人群的研究中,我们不能依赖详细的临床信息,问题在于,难以区分第一和第二种癌症的生存率及其复合效应。我们检查了三个假设:A)由于第一个肿瘤不会随着第二个肿瘤的发生而改变,因此生存率较高; B)存活的概率不会因先前的原发癌而改变; C)幸存的两个随后的原发肿瘤的概率是独立的(关于死亡率的可加性假设)。方法我们根据假设A),B)和C)研究了模拟死亡率的生存概率。使用Aalen-Johansen估算器计算死亡率,该估算器允许在发生第二种肿瘤之前折算滞后时间存活率。我们将该方法应用于1985年至2002年之间意大利都灵常住人口的436名乳腺癌(BC)妇女和随后的肿瘤患者队列。结果我们以计算的标准化死亡率(SMRAJ)的方式展示了我们的结果。经过10年的随访。对于假设A,我们观察到显着的过高死亡率为2.21(95%C.I. 1.94 – 2.45)。关于假设B,我们发现SMRAJ并不为0.98(95%C.I. 0.87-1.10)。未确认可加性假设(C),因为它高估了死亡风险,实际上,BC和所有后续癌症的SMRsAJ均低于1:0.75(95%CI 0.66 – 0.84),0.72(95%CI 0.55 – 0.94)对于BC和结肠直肠癌,0.76(95%CI 0.48 – 1.14)对于BC和子宫体癌(不显着)。结论该方法被证明可用于区分不同的后续癌症对死亡率的影响。在我们的应用中,它显示出患有两种癌症的妇女的长期死亡率要比仅患有BC的妇女差。但是,死亡率的增加低于可加性假设下的预期。

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