Suppr超能文献

[匈牙利国家癌症登记处中癌症患者的生存几率]

[Survival chances of Hungarian cancer patients in the National Cancer Registry].

作者信息

Tusnády Gábor, Gaudi István, Rejto Lídia, Kásler Miklós, Szentirmay Zoltán

机构信息

Magyar Tudományos Akadémia Rényi Alfréd Matematikai Kutatóintézet Budapest.

出版信息

Magy Onkol. 2008 Dec;52(4):339-49. doi: 10.1556/MOnkol.52.2008.4.2.

Abstract

The Hungarian National Cancer Registry (HNCR) was launched in August, 1999 by the National Cancer Institute. The main goal of HNCR is to determine the prevalence of different types of malignant cancers. A new method, period analysis was invented to determine survival chances of patients with malignant tumor. Based on period analysis we developed a new method by approximating survivals of Hungarian cancer patients with the help of Gompertz distribution. Our survival analysis was based on HNCR data of patients with cancer recognized between January 1, 2002 and December 31, 2005. These data are far enough from the time when HNCR started, thus they do not contain the initial errors, but also far enough from the present so their correction could be considered completed. In case of 21 malignant tumor locations for males and 23 ones for females we determined the parameters of the Gompertz distribution and based on the estimated parameters we estimated the expected survival probabilities for each specific tumor type and gender. In this study we have not used the TNM-based clinical stage or any other data of the patients contained by HNCR. Using the Gompertz model, the complete recovery of a cancer patient is always possible and the probability of recovery has a reliable estimate based on a short follow-up period only. We compared our results with five-year survival data of Canada, Italy, Norway and Finland and we did not find substantial differences. For both men and women, considering any specific location, the differences in survival among countries are much smaller than the difference between locations.

摘要

匈牙利国家癌症登记处(HNCR)于1999年8月由国家癌症研究所发起。HNCR的主要目标是确定不同类型恶性肿瘤的患病率。发明了一种新方法——时期分析,以确定恶性肿瘤患者的生存几率。基于时期分析,我们借助冈珀茨分布开发了一种新方法来估算匈牙利癌症患者的生存率。我们的生存分析基于2002年1月1日至2005年12月31日期间被确诊癌症的患者的HNCR数据。这些数据距离HNCR开始的时间足够久,因此不包含初始误差,同时距离现在也足够远,所以可以认为其修正工作已经完成。针对男性的21种恶性肿瘤发病部位以及女性的23种发病部位,我们确定了冈珀茨分布的参数,并基于估计的参数估算了每种特定肿瘤类型和性别的预期生存概率。在本研究中,我们未使用基于TNM的临床分期或HNCR中包含的患者的任何其他数据。使用冈珀茨模型,癌症患者完全康复总是有可能的,并且仅基于较短的随访期就能对康复概率进行可靠估计。我们将我们的结果与加拿大、意大利、挪威和芬兰的五年生存率数据进行了比较,未发现实质性差异。对于男性和女性而言,考虑任何特定发病部位,各国之间的生存差异远小于不同发病部位之间的差异。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验