ArticleCurrent oncology (Toronto, Ont.)2022
Identifying Breast Cancer Recurrence in Administrative Data: Algorithm Development and Validation.
Article in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Observational
- External validation of a data-driven algorithm to identify breast cancer recurrences from administrative healthcare data.Breast (Edinburgh, Scotland) · 2026Article
- Survival and Recurrence With GLP-1 Receptor Agonists in Breast Cancer.JAMA network open · 2026Article
- Identification of recurrences in women diagnosed with early invasive breast cancer using routinely collected data in England.BJC reports · 2025Article
- Immunotherapy for hormone receptor‒positive HER2-negative breast cancer.NPJ breast cancer · 2024Review
- Automated Identification of Breast Cancer Relapse in Computed Tomography Reports Using Natural Language Processing.JCO clinical cancer informatics · 2024Article
- Accuracy of a Cancer Registry Versus Clinical Care Team Chart Abstraction in Identifying Cancer Recurrence.Mayo Clinic proceedings. Innovations, quality & outcomes · 2024Article
- Estimated incidence of disruptions to event-free survival from non-metastatic cancers in New South Wales, Australia - a population-wide epidemiological study of linked cancer registry and treatment data.Frontiers in oncology · 2024Article
- Racial Disparities in the Ascertainment of Cancer Recurrence in Electronic Health Records.JCO clinical cancer informatics · 2023Article
- Estimating the incidence of breast cancer recurrence using administrative data.Breast cancer research and treatment · 2023Article
- Computational modeling of locoregional recurrence with spatial structure identifies tissue-specific carcinogenic profiles.Frontiers in oncology · 2023Article
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer recurrence is an important outcome for patients and healthcare systems, but it is not routinely reported in cancer registries. We developed an algorithm to identify patients who experienced recurrence or a second case of primary breast cancer (combined as a "second breast cancer event") using administrative data from the population of Ontario, Canada. A retrospective cohort study design was used including patients diagnosed with stage 0-III breast cancer in the Ontario Cancer Registry between 1 January 2009 and 31 December 2012 and alive six months post-diagnosis. We applied the algorithm to healthcare utilization data from six months post-diagnosis until death or 31 December 2013, whichever came first. We validated the algorithm's diagnostic accuracy against a manual patient record review (
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