ArticleBreast (Edinburgh, Scotland)2021
Epidemiological features of primary breast lymphoma patients and development of a nomogram to predict survival.
Article in Breast (Edinburgh, Scotland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- A Rare Entity in Context: Breast Implant-Associated Anaplastic Large Cell Lymphoma Compared With Common Lymphoma Subtypes.European journal of breast health · 2026Article
- Beyond traditional survival estimates: conditional survival and individualized prognosis in primary breast lymphoma.Translational cancer research · 2026Article
- Survival Prediction in Middle-Aged and Elderly Patients With Burkitt Lymphoma: A Comprehensive Nomogram Approach Based on SEER Data.Cancer medicine · 2025Article
- Primary small lymphocytic lymphoma of the breast: a rare presentation of non-Hodgkin's lymphoma.Oxford medical case reports · 2024Article
- Epidemiology and a Predictive Model of Prognosis Index Based on Machine Learning in Primary Breast Lymphoma: Population-Based Study.JMIR public health and surveillance · 2023Article
- Primary breast B-cell non-Hodgkin’s lymphoma of the breast. Case Report and review of the literatureRevista colombiana de obstetricia y ginecologia · 2023Article
- Epidemiological features for primary lymphoma of the female genital tract patients and development of a nomogram to predict survival.Annals of medicine · 2022Article
- Predicting the survival benefit of local surgery in patients aged 70 years or older with stage IV breast cancer: A population-based analysis.Breast (Edinburgh, Scotland) · 2021Article
- An Analysis of the Social and Economic Costs of Breast Cancer in Italy.International journal of environmental research and public health · 2021Article
- Nomograms-based prediction of overall and cancer-specific survivals for patients diagnosed with major salivary gland carcinoma.Annals of translational medicine · 2021Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStudies on the epidemiology and prognosis of primary breast lymphoma (PBL) are lack for low incidence. Therefore, we aimed to investigate the epidemiological characteristics of PBL and develop nomograms to predict patient survival.
methodsData of patients who were diagnosed with PBL from 1975 to 2011 and incidence rate of PBL from 1975 to 2017 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Time-varying multivariable Cox regression analysis was performed to identify independent prognostic factors for overall survival (OS) and disease-specific survival (DSS). Nomograms were constructed based on the independent prognostic factors identified in multivariate Cox regression analysis.
resultsA total of 1427 patients diagnosed with PBL were identified with the average age of 67.1 years. The overall incidence of PBL is 1.35/1,000,000 (adjusted to the United States standard population in 2000) from 1975 to 2017, with a significant upward trend by an annual percentage change (APC) of 2.91 (95%CI 2.29-3.94, P < 0.05). Age, sex, race, year of diagnosis, marital status, histological subtype, Ann Arbor Stage, and treatment modality were assessed as independent prognostic factors for OS and DSS by multivariable Cox regression (P < 0.05). Nomograms were constructed to predict the 1-, 3-, 5-, and 10- year OS and DSS. The concordance index (C-index) and calibration plots showed robustness and accuracy of the nomogram.
conclusionThe overall incidence of PBL was steadily increasing over the past four decades. Nomograms constructed can predicting 1-, 3-, 5-, and 10-year OS and identify patients with high-risk PBL.
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