ArticleCancer control : journal of the Moffitt Cancer Center
Predictive Nomogram of Subsequent Liver Metastasis After Mastectomy or Breast-Conserving Surgery in Patients With Nonmetastatic Breast Cancer.
Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Clinical characteristics and risk factors in patients with colon cancer liver metastases.Frontiers in oncology · 2026Article
- Clinical Characteristics and Prognostic Risk Factors in Breast Cancer With Liver Metastasis.The breast journal · 2026Article
- Real-time survival assessment in breast cancer with liver metastasis.Discover oncology · 2025Article
- The Age-Male-Albumin-Bilirubin-Platelets (aMAP) Risk Score Predicts Liver Metastasis Following Surgery for Breast Cancer in Chinese Population: A Retrospective Study.ImmunoTargets and therapy · 2024Article
- Prognostic factors for hormone receptor-positive breast cancer with liver metastasis and establishment of novel nomograms for prediction: a SEER-based study.Translational cancer research · 2023Article
- Assessment of the albumin-bilirubin score in breast cancer patients with liver metastasis after surgery.Heliyon · 2023Article
- A Nomogram for Predicting Survival in Patients With Breast Cancer Liver Metastasis: A Population-Based Study.Frontiers in oncology · 2021Article
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Abstract
backgroundMetastasis accounts for the majority of deaths in patients with breast cancer. Liver metastasis is reported common for breast cancer patients. The purpose of this study was to construct a nomogram to predict the likelihood of subsequent liver metastasis in patients with nonmetastatic breast cancer, thus high-risk patient populations can be prevented and monitored.
methodsA total of 1840 patients with stage I-III breast cancer were retrospectively included and analyzed. A nomogram was constructed to predict liver metastasis based on multivariate logistic regression analysis. SEER database was used for external validation. C-index, calibration curve and decision curve analysis were used to evaluate the predictive performance of the model.
resultsThe nomogram included 3 variables related to liver metastasis: HER2 status (odds ratio (OR) 1.86, 95%CI 1.02 to 3.41;
conclusionWe have developed and validated a robust tool enabled to predict subsequent liver metastasis in patients with nonmetastatic breast cancer. Distinguishing a population of patients at high risk of liver metastasis will facilitate preventive treatment or monitoring of liver metastasis.
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