ArticleOncology letters2019
Nomogram for predicting the survival of patients with malignant melanoma: A population analysis.
Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Risk factor analysis and nomogram establishment and verification of brain astrocytoma patients based on SEER database.Scientific reports · 2023Trial
- Review
- Development of a prognostic model based on nutritional and inflammatory indicators for predicting postoperative survival in esophageal cancer: a retrospective study.Frontiers in immunology · 2026Article
- Establishment of a prognostic nomogram for intrahepatic cholangiocarcinoma patients receiving chemotherapy: a SEER-based study.Journal of gastrointestinal oncology · 2025Article
- Establishment of a prognostic nomogram and risk stratification system for patients with combined hepatocellular-cholangiocarcinoma.Scientific reports · 2025Article
- Development and validation of nomograms to predict frailty-worsening trajectories among Chinese older adults.Frontiers in public health · 2025Article
- Article
- Stage IV ovarian cancer prognosis nomogram and analysis of racial differences: A study based on the SEER database.Heliyon · 2024Article
- Analysis of risk factors and development of a nomogram prediction model for renal tubular acidosis in primary Sjogren syndrome patients.Arthritis research & therapy · 2024Article
- Identification of mitochondria-related gene biomarkers associated with immune infiltration in acute myocardial infarction.iScience · 2024Article
- Bioinformatics analysis identifies TGF-β signaling pathway-associated molecular subtypes and gene signature in diabetic foot.iScience · 2024Article
- Classification and clinical significance of immunogenic cell death-related genes in Plasmodium falciparum infection determined by integrated bioinformatics analysis and machine learning.Malaria journal · 2024Article
- Nomogram for predicting survival of patients with gastric cancer and multiple primary malignancies: a real-world retrospective analysis using the Surveillance, Epidemiology and End Results database.The Journal of international medical research · 2023Article
- Nomogram to Predict Long-Term Overall Survival and Cancer-Specific Survival of Radiotherapy Patients with Nasopharyngeal Carcinoma.BioMed research international · 2023Article
- Increases prognostic value of clinical-pathological nomogram in patients with esophageal squamous cell carcinoma.Frontiers in oncology · 2023Article
- Predictive models for overall survival in breast cancer patients with a second primary malignancy: a real-world study in Shanghai, China.BMC women's health · 2022Article
- A prognostic nomogram for stage II/III rectal cancer patients treated with neoadjuvant chemoradiotherapy followed by surgical resection.BMC surgery · 2022Article
- Immune microenvironment infiltration landscape and immune-related subtypes in prostate cancer.Frontiers in immunology · 2022Review
- Development of a Risk Nomogram Model for Identifying Interstitial Lung Disease in Patients With Rheumatoid Arthritis.Frontiers in immunology · 2022Article
- A Novel Nomogram for Prediction and Evaluation of Lymphatic Metastasis in Patients With Renal Cell Carcinoma.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the current study was to develop and validate a nomogram based on a large population to estimate the 3- and 5-year survival rates of patients with malignant melanoma (MM). Patients were selected from the Surveillance, Epidemiology and End Results database and randomly divided into the training and validation cohorts. A nomogram was developed, and was used to assess the accuracy of the model. Independent prognostic factors associated with overall survival (OS) rate were identified through multivariate analysis, and were included in the internal validation of the nomogram. The nomogram provided high C-indexes for the training cohort [area under the time-dependent receiver operating characteristic curve (AUC) of 0.877 for 3-year OS rate and 0.872 for 5-year OS rate] and the validation cohort (AUC of 0.880 for 3-year OS rate and 0.874 for 5-year OS rate), indicating that the model had good discrimination ability. Calibration plots showed that the predicted 3- and 5-year OS rates probabilities for the training and validation groups were almost identical to the actual observations. The 3- and 5-year decision curves indicated net benefits for both the training and validation cohorts. The nomogram may aid clinicians to provide more accurate prognosis prediction in patient consultations and more personalized postoperative management plans.
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