ArticleBMC cancer2021
The risk and prognostic factors for brain metastases in esophageal cancer patients: an analysis of the SEER database.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Incidence of brain metastasis according to patient race and primary cancer origin: a systematic review.Journal of neuro-oncology · 2024Pooled it
- Is it necessary for patients with potentially resectable esophageal squamous cell cancer to receive routine preoperative brain MRI/CT?Thoracic cancer · 2022Trial
- Machine Learning-Based Prediction of Brain Metastasis at Initial Diagnosis in Small-Cell Lung Cancer: Model Development and SHAP Interpretation Study.Cancer reports (Hoboken, N.J.) · 2026Article
- Development and internal validation of a prognostic model for esophageal cancer liver metastases using the Surveillance, Epidemiology, and End Results database.Journal of thoracic disease · 2026Article
- Chronic Subdural Hematoma with Metastatic Involvement of the Dura and the Hematoma Outer Membrane from Esophageal Cancer: A Case Report.NMC case report journal · 2026Article
- Incidence and prognosis of brain metastases in esophageal carcinoma: a systematic review and meta-analysis.Journal of thoracic disease · 2025Article
- Development and validation of a prognostic prediction model for patients with lung metastasis of esophageal cancer.World journal of surgical oncology · 2025Article
- Oesophageal adenocarcinoma presenting with synchronous brain metastases.BMJ case reports · 2025Article
- Brain Metastases from Esophageal Cancer: A Retrospective Review from a Single Institution.World neurosurgery · 2025Article
- Prediction of Patients With Anaplastic Thyroid Carcinoma With Bone Metastasis: A Population-Based Study.International journal of endocrinology · 2025Article
- Predicting liver metastasis in pancreatic neuroendocrine tumors with an interpretable machine learning algorithm: a SEER-based study.Frontiers in medicine · 2025Article
- Prediction of Early Mortality in Esophageal Cancer Patients with Liver Metastasis Using Machine Learning Approaches.Life (Basel, Switzerland) · 2024Article
- Use machine learning to predict pulmonary metastasis of esophageal cancer: a population-based study.Journal of cancer research and clinical oncology · 2024Article
- A rare case of tumor-to-tumor metastasis of esophageal adenocarcinoma into meningioma.Radiology case reports · 2024Article
- Prediction of hepatic metastasis in esophageal cancer based on machine learning.Scientific reports · 2024Article
- Article
- Development and external validation of a novel score for predicting postoperative 30‑day mortality in tumor craniotomy patients: A cross‑sectional diagnostic study.Oncology letters · 2024Article
- Leptomeningeal carcinomatosis and brain metastases in gastroesophageal carcinoma: a real-world analysis of clinical and pathologic characteristics and outcomes.Journal of neuro-oncology · 2024Article
- Nomograms for Predicting Risk and Survival of Esophageal Cancer Lung Metastases: a SEER Analysis.Journal of Cancer · 2024Article
- Clinical features and outcomes of advanced HER2+ esophageal/GEJ cancer with brain metastasis.ESMO open · 2024Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBrain metastases were rare in esophageal cancer patients. Using the Surveillance, Epidemiology, and End Results (SEER) database, the present study investigated the incidence, risk and prognostic factors of brain metastases in esophageal cancer patients.
methodsRetrieving esophageal cancer patients diagnosed between 2010 and 2018 from the SEER database, univariable and multivariable logistic and cox regression models were used to investigate the risk factors for brain metastases development and prognosis, respectively. The brain metastases predicting nomogram was constructed, evaluated and validated. The overall survival (OS) of patients with brain metastases was analyzed by Kaplan-Meier method.
resultsA total of 34,107 eligible esophageal cancer patients were included and 618 of them were diagnosed with brain metastases (1.8%). The median survival of the brain metastatic esophageal cancer patients was 5 (95% CI: 5-7) months. The presence of bone metastases and lung metastases were the homogeneously associated factors for the development and prognosis of brain metastases in esophageal cancer patients. Patients younger than 65 years, American Indian/Alaska Native race (vs. White), overlapping lesion (vs. Upper third), esophageal adenocarcinoma histology subtype, higher N stage, and liver metastases were positively associated with brain metastases occurrence. The calibration curve, ROC curve, and C-index exhibited good performance of the nomogram for predicting brain metastases.
conclusionsHomogeneous and heterogeneous factors were found for the development and prognosis of brain metastases in esophageal cancer patients. The nomogram had good calibration and discrimination for predicting brain metastases.
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