1. Quality of Cancer Recurrence Data in the National Cancer Database: A Reappraisal of Reporting Readiness.
- Author
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Chan K, Palis BE, Cotler JH, Janczewski LM, Zhu X, Boffa DJ, Park KU, Boughey JC, Plichta JK, In H, Nogueira LM, Yabroff RK, Hawhee VM, Merriman KW, Habermann EB, Williams VL, Mason K, Mullett TW, Weigel RJ, and Nelson H
- Subjects
- Humans, Female, Male, United States, Follow-Up Studies, Prognosis, Data Accuracy, Middle Aged, Aged, Neoplasm Recurrence, Local epidemiology, Neoplasm Recurrence, Local pathology, Registries statistics & numerical data, Neoplasms pathology, Databases, Factual
- Abstract
Background: This study evaluated the quality of cancer recurrence data in the National Cancer Database (NCDB) to determine if missingness and reporting consistency have improved enough to support national research., Methods: This multi-methods study included NCDB analyses and a cancer registry staff survey. Trends in recurrence data missingness from 2004 to 2021 and multivariable analyses of factors associated with missingness from 2017 to 2021 were evaluated for 4,568,927 patients with non-metastatic cancer. A survey of cancer registry staff at Commission on Cancer-accredited hospitals investigated challenges with recurrence data abstraction., Results: From 2004 to 2021, recurrence data missingness decreased from 15.7 to 8.4% for breast, 19.8 to 9.3% for colon, 20.5 to 7.4% for lung, 17.6 to 6.6% for melanoma, 29.3 to 9.0% for pancreas, and 18.5 to 9.2% for thyroid cancers. Driving distance ≥100 miles (odds ratio [OR] 1.96, 95% confidence interval [CI] 1.90-2.02) and Southern geographic region (OR 2.86, 95% CI 2.80-2.93) were associated with increased data missingness. Of 565 completed surveys (39.1% response rate), the most common challenges identified were inadequate physician documentation of no evidence of disease (67.8%) and inadequate documentation of recurrence (50.5%). High variability was noted in the interpretation of registry rules specific to the assignment of cancer recurrence or new primary cancer, with discordant assignment occurring 25.5-40.8% of the time., Conclusion: Despite overall low rates of recurrence data missingness in the NCDB, data quality concerns remain related to inadequate clinical documentation and discrepancies with abstracting practices. Multi-organizational efforts are underway to improve the abstraction of high-quality recurrence data to support outcomes research., Competing Interests: Disclosures: Dr. Judy Boughey receives funding, paid to her institution, from Eli Lilly and SymBioSis and sits on the Data Safety Monitoring Committee of CairnsSurgical. She has received honoraria from PER, PeerView, OncLive, EndoMag and Up-To-Date. Dr. Daniel Boffa received a stipend from Iovance Biotherapeutics for participation in an Advisory Board panel. Kelley Chan, Bryan E. Palis, Joseph H. Cotler, Lauren M. Janczewski, Xuan Zhu, Ko Un Park, Jennifer K. Plichta, Haejin In, Leticia M. Nogueira, Robin K. Yabroff, Vicki M. Hawhee, Kelly W. Merriman, Elizabeth B. Habermann, Vonetta L. Williams, Karen Mason, Timothy W. Mullett, Ronald J. Weigel, and Heidi Nelson The remaining authors have no conflicts of interest to declare that may be relevant to the contents of this study., (© 2024. Society of Surgical Oncology.)
- Published
- 2025
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