Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Department of Surgery, Cumming School of Medicine, University of Calgary, North Tower, Foothills Medical Centre, Calgary, Alberta, Canada.
Head Neck. 2022 Aug;44(8):1909-1917. doi: 10.1002/hed.27109. Epub 2022 Jun 2.
Understanding occurrence and timing of second events (recurrence and second primary cancer) is essential for cancer specific survival analysis. However, this information is not readily available in administrative data.
Alberta Cancer Registry, physician claims, and other administrative data were used. Timing of second event was estimated based on our developed algorithm. For validation, the difference, in days between the algorithm estimated and the chart-reviewed timing of second event. Further, the result of Cox-regression modeling cancer-free survival was compared to chart review data.
Majority (74.3%) of the patients had a difference between the chart-reviewed and algorithm-estimated timing of second event falling within the 0-60 days window. Kaplan-Meier curves generated from the estimated data and chart review data were comparable with a 5-year second-event-free survival rate of 75.4% versus 72.5%.
The algorithm provided an estimated timing of second event similar to that of the chart review.
了解第二事件（复发和第二原发癌）的发生和时间对于癌症特异性生存分析至关重要。然而，这些信息在行政数据中不容易获得。
使用了艾伯塔癌症登记处、医生索赔和其他行政数据。根据我们开发的算法估计第二事件的时间。为了验证，算法估计的第二事件时间与图表审查的第二事件时间之间的差异，以天数计算。此外，将无癌症生存的 Cox 回归模型结果与图表审查数据进行了比较。
大多数（74.3%）患者的图表审查和算法估计的第二事件时间之间的差异在 0-60 天窗口内。从估计数据和图表审查数据生成的 Kaplan-Meier 曲线具有可比性，5 年无第二事件生存率为 75.4%对 72.5%。
该算法提供的第二事件估计时间与图表审查相似。
