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首页> 外文期刊>BMC Cancer >Minimum follow-up time required for the estimation of statistical cure of cancer patients: verification using data from 42 cancer sites in the SEER database
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Minimum follow-up time required for the estimation of statistical cure of cancer patients: verification using data from 42 cancer sites in the SEER database

机译:估计癌症患者的统计治愈所需的最短随访时间:使用SEER数据库中42个癌症部位的数据进行验证

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Background The present commonly used five-year survival rates are not adequate to represent the statistical cure. In the present study, we established the minimum number of years required for follow-up to estimate statistical cure rate, by using a lognormal distribution of the survival time of those who died of their cancer. We introduced the term, threshold year, the follow-up time for patients dying from the specific cancer covers most of the survival data, leaving less than 2.25% uncovered. This is close enough to cure from that specific cancer. Methods Data from the Surveillance, Epidemiology and End Results (SEER) database were tested if the survival times of cancer patients who died of their disease followed the lognormal distribution using a minimum chi-square method. Patients diagnosed from 1973–1992 in the registries of Connecticut and Detroit were chosen so that a maximum of 27 years was allowed for follow-up to 1999. A total of 49 specific organ sites were tested. The parameters of those lognormal distributions were found for each cancer site. The cancer-specific survival rates at the threshold years were compared with the longest available Kaplan-Meier survival estimates. Results The characteristics of the cancer-specific survival times of cancer patients who died of their disease from 42 cancer sites out of 49 sites were verified to follow different lognormal distributions. The threshold years validated for statistical cure varied for different cancer sites, from 2.6 years for pancreas cancer to 25.2 years for cancer of salivary gland. At the threshold year, the statistical cure rates estimated for 40 cancer sites were found to match the actuarial long-term survival rates estimated by the Kaplan-Meier method within six percentage points. For two cancer sites: breast and thyroid, the threshold years were so long that the cancer-specific survival rates could yet not be obtained because the SEER data do not provide sufficiently long follow-up. Conclusion The present study suggests a certain threshold year is required to wait before the statistical cure rate can be estimated for each cancer site. For some cancers, such as breast and thyroid, the 5- or 10-year survival rates inadequately reflect statistical cure rates, and highlight the need for long-term follow-up of these patients.
机译:背景技术目前常用的五年生存率不足以代表统计学治愈。在本研究中,我们通过使用死于癌症的患者的生存时间的对数正态分布,确定了随访所需的最短年限,以估计统计治愈率。我们介绍了术语,阈值年,死于特定癌症的患者的随访时间涵盖了大部分生存数据,而未发现的数据不足2.25%。这足够接近以治愈该特定癌症。方法使用最小卡方方法,对来自监测,流行病学和最终结果(SEER)数据库的数据进行测试,以检查死于疾病的癌症患者的生存时间是否遵循对数正态分布。选择从1973年至1992年在康涅狄格州和底特律的注册表中诊断出的患者,以便最长随访27年,直至1999年。共测试了49个特定器官部位。发现每个癌症部位的那些对数正态分布的参数。将阈值年份的癌症特异性生存率与可获得的最长Kaplan-Meier生存率估计值进行比较。结果证实了在49个部位中有42个癌症部位死于疾病的癌症患者的癌症特异性生存时间特征符合不同的对数正态分布。对于不同的癌症部位,经统计学确认的阈值年限各不相同,从胰腺癌的2.6年到唾液腺癌的25.2年。在临界年,发现40个癌症部位的统计治愈率与通过Kaplan-Meier方法估计的精算长期生存率相匹配,在六个百分点之内。对于两个癌症部位:乳腺癌和甲状腺癌,阈值年限是如此之长,以致于无法获得特定于癌症的存活率,因为SEER数据不能提供足够长的随访时间。结论本研究表明,在估计每个癌症部位的统计治愈率之前,需要等待一定的阈值年。对于某些癌症,例如乳腺癌和甲状腺癌,其5年或10年生存率不足以反映统计学治愈率,并强调需要对这些患者进行长期随访。

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