ArticleCancer medicine2019
Worse characteristics can predict survival effectively in bilateral primary breast cancer: A competing risk nomogram using the SEER database.
Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Do metastatic volumes measured in breast cancer patients with bone metastases correlate with the numbers of skeletal and extraskeletal events?Joint diseases and related surgery · 2024Article
- Competing risk nomogram for predicting cancer-specific mortality in patients with non-melanoma skin cancer.Journal of cancer research and clinical oncology · 2023Article
- Clonal evolution characteristics and reduced dimension prognostic model for non-metastatic metachronous bilateral breast cancer.Frontiers in oncology · 2022Article
- Incidence, prognosis and nomograms of breast cancer with bone metastases at initial diagnosis: a large population-based study.American journal of translational research · 2021Article
- Predicting Cancer-Specific Survival Among Patients With Prostate Cancer After Radical Prostatectomy Based on the Competing Risk Model: Population-Based Study.Frontiers in surgery · 2021Article
- A nomogram for determining the disease-specific survival in invasive lobular carcinoma of the breast: A population study.Medicine · 2020Article
- Nomograms that predict the survival of patients with adenocarcinoma in villous adenoma of the colorectum: a SEER-based study.BMC cancer · 2020Article
- Worse characteristics can predict survival effectively in bilateral primary breast cancer: A competing risk nomogram using the SEER database.Cancer medicine · 2019Article
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9 authors.
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Abstract
objectiveThere is limited information from population-based cancer registries regarding prognostic features of bilateral primary breast cancer (BPBC).
methodsFemale patients diagnosed with BPBC between 2004 and 2014 were randomly divided into training (n = 7740) and validation (n = 2579) cohorts from the Surveillance, Epidemiology, and End Results Database. We proposed five various models. Multivariate Cox hazard regression and competing risk analysis were to explore prognosis factors in training cohort. Competing risk nomograms were constructed to combine significant prognostic factors to predict the 3-year and the 5-year survival of patients with BPBC. At last, in the validation cohort, the new score performance was evaluated with respect to the area under curve, concordance index, net reclassification index and calibration curve.
resultsWe found out that age, interval time, lymph nodes invasion, tumor size, tumor grade and estrogen receptor status were independent prognostic factors in both multivariate Cox hazard regression analysis and competing risk analysis. Concordance index in the model of the worse characteristics was 0.816 (95% CI: 0.791-0.840), of the bilateral tumors was 0.819 (95% CI: 0.793-0.844), of the worse tumor was 0.807 (0.782-0.832), of the first tumor was 0.744 (0.728-0.763) and of the second tumor was 0.778 (0.762-0.794). Net reclassification index of the 3-year and the 5-year between them was 2.7% and -1.0%. The calibration curves showed high concordance between the nomogram prediction and actual observation.
conclusionThe prognosis of BPBC depended on bilateral tumors. The competing risk nomogram of the model of the worse characteristics may help clinicians predict survival simply and effectively. Metachronous bilateral breast cancer presented poorer survival than synchronous bilateral breast cancer.
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