ArticleCancer medicine2019
Nomograms for predicting long-term overall survival and cancer-specific survival in lip squamous cell carcinoma: A population-based study.
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 23 papers.
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Who cites it
23 citing papers in PubMed.
- The construction and validation of a nomogram for lung metastasis of intrahepatic cholangiocarcinoma: a study based on the SEER database.Translational cancer research · 2026Article
- Prognostic model for three-year postoperative local recurrence in cutaneous squamous cell carcinoma: a Chinese multicenter cohort study.Frontiers in oncology · 2026Article
- Nomograms for predicting prognosis in postoperative lip squamous cell carcinoma patients.Discover oncology · 2025Article
- Development of a predictive nomogram based on preoperative inflammation-nutrition-related markers for prognosis in locally advanced lip squamous cell carcinoma after surgical treatment.BMC oral health · 2025Article
- A population-based study using nomograms to predict overall and cancer-specific survival in HPV-associated CSCC.Cancer science · 2025Article
- Analysis of prognostic factors and construction of prognostic models for invasive lobular carcinoma of the breast.Biomolecules & biomedicine · 2024Article
- A Detailed Examination of Retroperitoneal Undifferentiated Pleomorphic Sarcoma: A Case Report and Review of the Existing Literature.Journal of clinical medicine · 2024Review
- Retroperitoneal undifferentiated pleomorphic sarcoma with total nephrectomy: a case report and literature review.Frontiers in surgery · 2023Article
- Overall survival comparison between pediatric and adult Ewing sarcoma of bone and adult nomogram construction: a large population-based analysis.Frontiers in pediatrics · 2023Article
- Predictive nomograms for early death in metastatic bladder cancer.Frontiers in surgery · 2022Article
- A Simple-To-Use Nomogram for Predicting Early Death in Metastatic Renal Cell Carcinoma: A Population-Based Study.Frontiers in surgery · 2022Article
- A B7-CD28 Family-Based Signature Demonstrates Significantly Different Prognosis and Immunological Characteristics in Diffuse Gliomas.Frontiers in molecular biosciences · 2022Article
- Prognostic nomogram for cancer-specific survival in patients with intrahepatic cholangiocarcinoma after hepatectomy: A population study of 919 patients.Frontiers in surgery · 2022Article
- Nomograms for Predicting Cancer-Specific Survival of Patients with Gingiva Squamous Cell Carcinoma: A Population-Based Study.Current medical science · 2021Article
- Competing-risks nomograms for predicting cause-specific mortality in parotid-gland carcinoma: A population-based analysis.Cancer medicine · 2021Article
- Nomogram for Predicting Overall Survival in Acral Lentiginous Melanoma: A Population-based Study.International journal of general medicine · 2021Article
- Construction and validation of a nomogram for predicting cancer-specific survival in hepatocellular carcinoma patients.Scientific reports · 2020Article
- Nomogram forecasting 3-, 5-, and 8-year overall survival and cancer-specific survival of gingival squamous cell carcinoma.Cancer medicine · 2020Article
- Nomogram for predicting overall survival in children with neuroblastoma based on SEER database.Annals of surgical treatment and research · 2020Article
- Nomogram prediction of overall survival based on log odds of positive lymph nodes for patients with penile squamous cell carcinoma.Cancer medicine · 2020Article
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9 authors.
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Abstract
backgroundThe goal of this study was to establish and validate two nomograms for predicting the long-term overall survival (OS) and cancer-specific survival (CSS) in lip squamous cell carcinoma (LSCC).
methodsThis study selected 4175 patients who were diagnosed with LSCC between 2004 and 2015 in the SEER (Surveillance, Epidemiology, and End Results) database. The patients were allocated randomly to a training cohort and validation cohort. Variables were selected using a backward stepwise method in a Cox regression model. Based on the predictive model with the identified prognostic factors, nomograms were established to predict the 3-, 5-, and 8-year survival OS and CSS rates of LSCC patients. The accuracy of the nomograms was evaluated based on the consistency index (C-index), while their prediction accuracy was evaluated using calibration plots. Decision curve analyses (DCAs) were used to evaluate the performance of our survival model.
resultsThe multivariate analyses demonstrated that age at diagnosis, marital status, sex, race, American Joint Committee on Cancer stage, surgery status, and radiotherapy status were risk factors for both OS and CSS. The C-index, area under the time-dependent receiver operating characteristic curve, and calibration plots demonstrated the good performance of the nomograms. DCAs of both nomograms further showed that they exhibited good 3-, 5-, and 8-year net benefits.
conclusionsWe have developed and validated LSCC prognosis nomograms for OS and CSS for the first time. These nomograms can be valuable tools for clinical practice when clinicians are helping patients to understand their survival risk for the next 3, 5, and 8 years.
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