Predicting how the ROCA algorithm would have performed in PLCO
1. To estimate the sensitivity of the ROCA algorithm at each screening round in PLCO and compare to CA-125 and TVU. 2. To examine those who died from ovarian cancer and see whether the time of diagnosis might have been altered had they been screened with ROCA instead of CA-125 and TVU. 3. To project possible mortality rate ratios under a ROCA screening algorithm, using various assumptions, including a "best case" assumption. In the "best case" scenario, if ROCA caused the diagnosis date of a woman who subsequently died of ovarian cancer to be moved up, which could be a PLCO screen diagnosed case moved up to an earlier screen diagnosis with ROCA or a PLCO interval case being moved into a ROCA screened diagnosed case, then that women would be designated as not having died of ovarian cancer. If, on the other hand, ROCA caused the woman's diagnosis to be moved into the future (say by giving a negative screen where PLCO gave a screen detected cancer) and that woman did not die of ovarian cancer, the woman would still be designated as not having died of ovarian cancer.
Amanda Black (NCI)
Ed Partridge (UAB)
Steve Skates (Partners)
Claire Zhu (Division of Cancer Prevention)
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Potential effect of the risk of ovarian cancer algorithm (ROCA) on the mortality outcome of the Prostate, Lung, Colorectal and Ovarian (PLCO) trial.
Pinsky PF, Zhu C, Skates SJ, Black A, Partridge E, Buys SS, Berg CD
Int. J. Cancer. 2013 May; Volume 132 (Issue 9): Pages 2127-33 PUBMED