Thanks @mgurley this is a very helpful resource. Based on Michael’s link, it looks like our concept set is mashing together mammography concept codes for both screening and diagnostic. So, let’s unpack and see what the right combination of codes are based on what we’re trying to do.
The study question is:
Amongst women aged 40-74 who undergo a screening mammography with no prior malignancies (Target Cohort 1) or amongst women aged 40-74 who undergo a screening mammography with prior malignancies (Target Cohort 2) and do not have prior breast cancer recorded or history of breast cancer, which patients will go on to develop breast cancer in the 90d to 3 years following the screening mammography?
Our clinical rationale:
Having two T risk groups will allow us to see how the presence or absence of prior malignancies affects the model. We want to be able to identify risk for two groups (healthy and those with prior malignancies) to see what factors influence getting a diagnosis of breast cancer. There are risk predictors of breast cancer currently and they are using age, prior birth age, first period, family history, biopsy and race. Our results could confirm that there are specific predictors related to what has been assessed, and confirm knowledge risk factors with data.
We’re focusing on the design principles of the concept set of how we’re building mammography. So according to Michael’s reference from SEER, we’re looking at:
|Type of test
Which in ATHENA brings us to:
||Screening mammography, bilateral (two view film study of each breast)
@Dymshyts @Eduard_Korchmar Not sure if the end date is an artifact or if it’s actually been depreciated. Is there a more appropriate code? Our intention is to ensure our Screening Mammography concept set is not riddled with misclassification bias. I don’t think we’ll ever get 100% here but let’s go for “good enough”…
This is the last design debate before we can package and run the study! We really appreciate the rapid community feedback. I heard a rumor you might see something presented at this year’s Symposium.
(cc: @aostropolets @MauraBeaton @rmakadia @ericaVoss @clairblacketer @Laura_Hester @sseager - can only tag 10 ppl, please loop in the other WoOs)