Table 1.

Algorithms to detect second breast cancer events and cancer recurrences using HMO medical record data, developed by Chubak et al. in the Group Health Cooperative HMO in western Washington state*

Named in this paper	Location in Chubak et al.	Description	Uses SEER variables
Second breast cancer event	In main paper
Algorithm 1†	Figure 1	High sensitivity	Yes
Algorithm 2†	Figure 2	High specificity, PPV	Yes
Algorithm 3†	Figure 3	Extremely high sensitivity	Yes
Algorithm 4	Figure 4	High sensitivity	No
Algorithm 5	Figure 5	High specificity, PPV	No
Algorithm 6	Figure 6	Extremely high sensitivity	No
Recurrence-specific	In supplementary analysis
Algorithm 7†	Supplementary Figure 2	High sensitivity	Yes
Algorithm 8†	Supplementary Figure 3	High specificity	Yes
Algorithm 9†	Supplementary Figure 4	High specificity and PPV	Yes
Algorithm 10†	Supplementary Figure 5	Extremely high sensitivity	Yes
Algorithm 11	Supplementary Figure 6	High specificity and PPV	No
Algorithm 12	Supplementary Figure 7	Extremely high sensitivity	No

* Chubak et al. (5) outlined several approaches to defining second breast cancer events and recurrences using Surveillance, Epidemiology, and End Results (SEER) data and utilization codes. HMO = health maintenance organization; NPV = negative predictive value; PPV = positive predictive value; SEER = Surveillance, Epidemiology, and End Results Program.

† In this paper, we focused on algorithms making use of SEER data, ie, Algorithms 1, 2, 3 and 7, 8, 9, and 10.