ArticleJournal of cancer research and clinical oncology2019
Predicting the risk of locoregional recurrence after early breast cancer: an external validation of the Dutch INFLUENCE-nomogram with clinical cancer registry data from Germany.
Article in Journal of cancer research and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Belgian validation of the INFLUENCE 3.0 model predicting 5-year locoregional and contralateral breast cancer recurrence.Breast (Edinburgh, Scotland) · 2026Article
- Needs and preferences of breast cancer survivors regarding outcome-based shared decision-making about personalised post-treatment surveillance.Journal of cancer survivorship : research and practice · 2023Article
- Implications for surveillance for breast cancer patients based on the internally and externally validated BRENDA-metastatic recurrence score.Breast cancer research and treatment · 2023Article
- The co-occurrence of both breast- and differentiated thyroid cancer: incidence, association and clinical implications for daily practice.BMC cancer · 2022Article
- The value of time-dependent risk predictions in a screening context - a comprehensive simulation analysis validated on German cancer registry data.BMC medical research methodology · 2022Article
- Construction and validation of a novel prognostic nomogram for patients with metastatic renal cell carcinoma: a SEER-based study.The Journal of international medical research · 2022Article
- Article
- Local Recurrence in Young Women with Breast Cancer: Breast Conserving Therapy vs. Mastectomy Alone.Cancers · 2021Article
- Evaluating the Age-Based Recommendations for Long-Term Follow-Up in Breast Cancer.The oncologist · 2020Article
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9 authors.
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Abstract
purposeFollow-up after breast cancer treatment aims for an early detection of locoregional breast cancer recurrences (LRR) to improve the patients' outcome. By estimating individual's 5-year recurrence-risks, the Dutch INFLUENCE-nomogram can assist health professionals and patients in developing personalized risk-based follow-up pathways. The objective of this study is to validate the prediction tool on non-Dutch patients. MATERIAL AND
methodsData for this external validation derive from a large clinical cancer registry in southern Germany, covering a population of 1.1 million. Patients with curative resection of early-stage breast cancer, diagnosed between 2000 and 2012, were included in the analysis (n = 6520). For each of them, an individual LRR-risk was estimated by the INFLUENCE-nomogram. Its predictive ability was tested by comparing estimated and observed LRR-probabilities using the Hosmer-Lemeshow goodness-of-fit test and C-statistics.
resultsIn the German validation-cohort, 2.8% of the patients developed an LRR within 5 years after primary surgery (n = 184). While the INFLUENCE-nomogram generally underestimates the actual LRR-risk of the German patients (p < 0.001), its discriminative ability is comparable to the one observed in the original Dutch modeling-cohort (C-statistic German validation-cohort: 0.73, CI 0.69-0.77 vs. C-statistic Dutch modeling-cohort: 0.71, CI 0.69-0.73). Similar results were obtained in most of the subgroup analyses stratified by age, type of surgery and intrinsic biological subtypes.
conclusionThe outcomes of this external validation underline the generalizability of the INFLUENCE-nomogram beyond the Dutch population. The model performance could be enhanced in future by incorporating additional risk factors for LRR.
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