ArticleBMJ open2023
Nomogram predicting overall prognosis for invasive micropapillary carcinoma of the breast: a SEER-based population study.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Prognostic nomogram for overall survival in breast invasive micropapillary carcinoma integrating LODDS and treatment factors: A SEER-based study.Biomolecules & biomedicine · 2026Article
- A prediction model and risk stratification tool for survival by chemotherapy in invasive micropapillary carcinoma of the breast: a population-based study with external validation.Frontiers in oncology · 2026Article
- Clinical value of serum uric acid and homocysteine levels in predicting the occurrence of atrial fibrillation in patients with type 2 diabetes mellitus.Biomedical engineering online · 2025Article
- Development of a Nomogram-Based Online Calculator for Predicting Cancer-Specific Survival in Patients With Digestive Tract Mixed Neuroendocrine-Non-Neuroendocrine Neoplasms (MiNENs): An Analysis of the SEER Database.Cancer reports (Hoboken, N.J.) · 2025Article
- Nomogram to predict hemorrhage risk related to anti-tumor therapy in patients with acute leukemia.Frontiers in oncology · 2025Article
- Prognostic value of nomogram model based on clinical risk factors and CT radiohistological features in hypertensive intracerebral hemorrhage.Frontiers in neurology · 2024Article
- Development and validation of a survival prediction model for patients with advanced non-small cell lung cancer based on LASSO regression.Frontiers in immunology · 2024Article
- An overview of invasive micropapillary carcinoma of the breast: past, present, and future.Frontiers in oncology · 2024Review
- Construction of a novel nomogram for predicting overall survival in patients with Siewert type II AEG based on LODDS: a study based on the seer database and external validation.Frontiers in oncology · 2024Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectivesThe prognosis of invasive micropapillary carcinoma (IMPC) of the breast is determined by many clinicopathological factors. This study aims to identify prognostic factors and develop reliable nomogram to predict the overall survival (OS) in patients with IMPC.
designLog-rank test and Cox proportional hazards analysis were used to identify variables and construct a nomogram based on the training cohort. C-index and calibration curves were performed to evaluate the performance of the model in the training cohort and validation cohorts.
settingWe collected the patient data from the Surveillance, Epidemiology and End Results (SEER) database. This database holds data related to the cancer incidence from 18 population-based cancer registries in the USA.
participantsThe SEER database was used to screen 754 eligible patients as the study cohort. The whole cohort was randomly divided into a training cohort (n=377) and a validation cohort (n=377).
resultsAge at diagnosis, hormone receptors, number of positive regional lymph nodes and clinical stage were independent prognostic factors for patients with IMPC. The calibration curves presented excellent consistency between the actual and nomogram-predict survival probabilities in the training and validation cohorts. The C-index values of the nomogram were 0.794 and 0.774 for OS in the training and validation cohorts, respectively.
conclusionsThe novel nomogram provides new insights of the risk of each prognostic factor and can assist doctors in predicting the 1-year, 3-year and 5-year OS in patients with IMPC.
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