ArticleCancer medicine2019
Predictive value of a nomogram for melanomas with brain metastases at initial diagnosis.
Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic literature review and meta-analysis of clinical outcomes and prognostic factors for melanoma brain metastases.Frontiers in oncology · 2022Pooled it
- A Novel Nomogram and Risk Classification System Predicting the Cancer-Specific Mortality of Patients with Initially Diagnosed Metastatic Cutaneous Melanoma.Annals of surgical oncology · 2021Trial
- Development and validation of machine learning model to predict early death of melanoma brain metastasis patients.Frontiers in oncology · 2025Article
- Burden and Risk Factors of Brain Metastases in Melanoma: A Systematic Literature Review.Cancers · 2022Review
- Analysis of Demographics and Outcomes of Surgical Resection in the Central Nervous System of Patients With Metastatic Melanoma.World journal of oncology · 2021Article
- Comparing the characteristics and predicting the survival of patients with head and neck melanoma versus body melanoma: a population-based study.BMC cancer · 2021Article
- Type and timing of systemic therapy use predict overall survival for patients with brain metastases treated with radiation therapy.Journal of neuro-oncology · 2021Article
- Integrating additional factors into the TNM staging for cutaneous melanoma by machine learning.PloS one · 2021Article
- Development and validation of prognostic nomogram in patients with nonmetastatic malignant melanoma: a SEER population-based study.Cancer medicine · 2020Article
- Predictive value of a nomogram for melanomas with brain metastases at initial diagnosis.Cancer medicine · 2019Article
- Differentiation of Bone Metastasis in Elderly Patients With Lung Adenocarcinoma Using Multiple Machine Learning Algorithms.Cancer control : journal of the Moffitt Cancer CenterArticle
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundEstimation of incidence and prognosis of melanomas with brain metastases (MBM) at initial diagnosis based on a large cohort is lacking in current research. This study aims to construct an effective prognostic nomogram for newly diagnosed MBM. MATERIALS AND
methodsPatients diagnosed with melanomas from Surveillance, Epidemiology, and End Results program between 2010 and 2014 were enrolled in our study. Risk factors predicting brain metastases (BM) were identified using logistic regression analysis. Cox regression analysis was performed to identify prognostic factors of overall survival (OS). Nomogram for estimating 6-, 9-, and 12-month OS was established based on Cox regression analysis. The discriminative ability and calibration of the nomogram were tested using C statistics, calibration plots, and Kaplan-Meier curves.
resultsSixty-two thousand three hundred and sixty-nine melanoma patients were enrolled, including 928 with BM. Sex, marital status, insurance status, subsite, surgery of primary sites, radiation, chemotherapy, bone metastases, liver metastases, and lung metastases were associated with MBM at initial diagnosis. On multivariable Cox regression, the following eight variables were incorporated in the prediction of OS: age, unmarried status, absence of surgery to primary sites or unknown, absence of radiation or unknown, absence of chemotherapy or unknown, with bone metastases, with liver metastases, and with lung metastases. The nomogram showed good predictive ability as indicated by discriminative ability and calibration, with the C statistics of 0.716 (95% CI, 0.695-0.737).
conclusionsThe incidence and prognosis of MBM patients were well estimated in this study based on a large cohort. The nomogram performed well and could be a useful tool to predict prognosis.
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