ArticleExperimental biology and medicine (Maywood, N.J.)2022
Overall and cancer-specific survival in patients with breast Paget disease: A population-based study.
Article in Experimental biology and medicine (Maywood, N.J.), 2022. 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.
- Identification of two genes associated with recurrence in Paget's disease and construction of a predictive model.Frontiers in genetics · 2026Article
- A Clinically Practical Nomogram for Predicting Survival in Elderly Patients (≥ 65 Years) With Bladder Urothelial Carcinoma: A Study Based on SEER Database and External Validation.Cancer reports (Hoboken, N.J.) · 2025Article
- Diagnostic imaging challenges of mammary Paget's disease presenting with subtle clinical and imaging features: A case report.Radiology case reports · 2025Article
- Review
- Comprehensive analysis of the prognosis, tumor microenvironment, and immunotherapy response of SDHs in colon adenocarcinoma.Frontiers in immunology · 2023Article
- Are there clinical and subclinical/pathological forms of Paget's disease of the breast?Frontiers in oncology · 2023Article
- The effects of clinicopathological and imaging findings on recurrence and survival in mammary Paget's disease.Northern clinics of Istanbul · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Paget disease of the breast is an uncommon malignant tumor with an inferior outcome. Therefore, establishing nomograms to predict the survival outcomes of breast Paget disease patients is urgent. Clinicopathological and follow-up data of breast Paget disease patients diagnosed between 2010 and 2016 were retrieved through the Surveillance, Epidemiology, and End Result (SEER) database. The significant factors were screened out, and then those factors were utilized to build two valuable nomograms. The discriminative ability of nomograms was investigated using concordance-index (C-index), while the predictive accuracy and benefits were evaluated using calibration curves and decision curve analysis. Finally, a total of 417 breast Paget disease patients were enrolled. Tumor grade, histological type, American Joint Committee on Cancer (AJCC) stage, surgery, chemotherapy, and marital status were confirmed as independent overall survival (OS)-related factors; tumor grade, histological type, AJCC stage, and age were associated with independent cancer-specific survival (CSS)-related factors. The values of the C-index for OS nomogram acquired were 0.827 and 0.745 for training and validation cohorts, respectively. Meanwhile, the corresponding values of the C-index to CSS nomogram were 0.890 and 0.655, respectively. The calibration curves and decision curve analysis indicated that both nomograms had an excellent performance. Finally, the nomogram-based risk stratification system indicated that all breast Paget disease patients could be classified into low- and high-risk groups and showed distinct outcomes. In conclusion, two valuable nomograms incorporating various clinicopathological indicators were established for breast Paget disease patients. These prognostic nomograms provide accurate prognostic assessment for breast Paget disease patients and help clinicians select appropriate treatment strategies.
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