ArticlePeerJ2019
A prognostic nomogram for overall survival in male breast cancer with histology of infiltrating duct carcinoma after surgery.
Article in PeerJ, 2019. 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.
- Dynamic conditional survival nomogram for non-early-stage infiltrating ductal carcinoma based on SEER database.Scientific reports · 2025Article
- Risk stratification system and visualized dynamic nomogram constructed for predicting diagnosis and prognosis in rare male breast cancer patients with bone metastases.Frontiers in endocrinology · 2022Article
- Predicting the pathological grade of breast phyllodes tumors: a nomogram based on clinical and magnetic resonance imaging features.The British journal of radiology · 2021Article
- Malignancy Risk Stratification Prediction of Amorphous Calcifications Based on Clinical and Mammographic Features.Cancer management and research · 2021Article
- Incidence trends and survival outcomes of penile squamous cell carcinoma: evidence from the Surveillance, Epidemiology and End Results population-based data.Annals of translational medicine · 2020Article
- Nomograms that predict the survival of patients with adenocarcinoma in villous adenoma of the colorectum: a SEER-based study.BMC cancer · 2020Article
- Nomograms for predicting overall and cancer-specific survival in patients with papillary renal cell carcinoma: a population-based study using SEER database.Translational andrology and urology · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe study was designed to construct and validate a nomogram for predicting overall survival (OS) of male breast cancer (MBC) patients with infiltrating duct carcinoma (IDC).
methodsThe cohort was selected from the Surveillance, Epidemiology, and End Results (SEER) database between January 1, 2004 and December 31, 2013. Univariate and multivariate Cox proportional hazard (PH) regression models were performed. A nomogram was developed based on the significant prognostic indicators of OS. The discriminatory and predictive capacities of nomogram were assessed by Harrell's concordance index (C-index), calibration plots, area under the curve (AUC) and the decision curve analysis (DCA).
resultsThe median and maximal survival time of 1862 eligible patients were 49 and 131 months, respectively. Multivariate analysis showed that age (
conclusionsThe nomogram was able to more accurately predict 3-and 5-year OS of MBC patients with IDC histology than were existing models.
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