Yuan Xu
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Articles (6)
Year:
2024
Year:
2023
Background 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. Methods 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. Results 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%. Conclusion The algorithm provided an estimated timing of second event similar to that of the chart review.
Year:
2022
Year:
2022
Year:
2021
Year:
2020
Collaborators (7)
Hude Quan
Professor
University of Calgary
Sasha Lupichuk
University of Calgary
Danielle A. Southern
-
Khara M. Sauro
University of Calgary
Ping Liu
Adjunct Assistant Professor
University of Calgary
Yuan Xu
-
Lisa Barbera
University of Calgary
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