Seppänen Johanna, Heinävaara Sirpa, Holli Kaija, Hakulinen Timo
Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland.
Cancer Causes Control. 2008 Dec;19(10):1299-304. doi: 10.1007/s10552-008-9201-2. Epub 2008 Aug 28.
In spite of the increasing amount of clinically relevant information for survival from breast cancer, the amount of data recorded in a population-based cancer registry is limited and the registry-based survival predictions are routinely made without clinical details.
To find out how important is the role of screening and clinical tumor characteristics in addition to cancer registry information in describing the breast cancer survival.
A representative clinical database on 483 breast cancer patients diagnosed during 1996-1997 in Tampere University Hospital Area was linked with Finnish Cancer Registry data and a survival model including the available registry variables was compared to models including screen-detection information and clinical tumor characteristics also.
Estimates of registry stage and age act as surrogates for clinical variables and mammography-detection. The surrogacy was found to be almost complete indicating that clinical variables are not necessarily needed when making breast cancer mortality predictions based on a population-based cancer registry. In cases with dissimilar staging cancer registry stage gave a better picture of the breast cancer survival than the clinical stage.
尽管有越来越多关于乳腺癌生存的临床相关信息，但基于人群的癌症登记处记录的数据量有限，且基于登记处的生存预测通常在没有临床细节的情况下进行。
了解除癌症登记信息外，筛查和临床肿瘤特征在描述乳腺癌生存情况中所起的作用有多重要。
将坦佩雷大学医院地区1996 - 1997年诊断的483例乳腺癌患者的代表性临床数据库与芬兰癌症登记数据相链接，并将包含可用登记变量的生存模型与同时包含筛查检测信息和临床肿瘤特征的模型进行比较。
登记处的分期和年龄估计可作为临床变量和乳腺X线检测的替代指标。发现这种替代几乎是完全的，这表明在基于人群的癌症登记处进行乳腺癌死亡率预测时不一定需要临床变量。在分期不同的病例中，癌症登记处的分期比临床分期能更好地反映乳腺癌的生存情况。
