ArticleCancer medicine2020
Nomogram forecasting 3-, 5-, and 8-year overall survival and cancer-specific survival of gingival squamous cell carcinoma.
Article in Cancer medicine, 2020. 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, 12 citations in OpenAlex.
- Development and validation of a prognostic nomogram for unresectable pancreatic ductal adenocarcinoma with synchronous liver metastases: a study based on the SEER database and an external cohort.Frontiers in oncology · 2025Article
- A new marker constructed from immune-related lncRNA pairs can be used to predict clinical treatment effects and prognosis: in-depth exploration of underlying mechanisms in HNSCC.World journal of surgical oncology · 2023Article
- Nomograms for Predicting the Risk and Prognosis of Liver Metastases in Pancreatic Cancer: A Population-Based Analysis.Journal of personalized medicine · 2023Article
- Health behavior changes and mortality among South Korean cancer survivors.Scientific reports · 2022Article
- Increased prognostic value of clinical-reproductive model in Chinese female patients with esophageal squamous cell carcinoma.World journal of gastroenterology · 2022Article
- Managing misdiagnosed gingival squamous cell carcinoma (GSCC) with occult symptoms: A report of two cases.Annals of medicine and surgery (2012) · 2021Article
- Construction, validation and, visualization of a web-based nomogram for predicting the overall survival and cancer-specific survival of leiomyosarcoma patients with lung metastasis.Journal of thoracic disease · 2021Article
- Development and Validation of Prognostic Survival Nomograms for Patients with Anal Canal Cancer: A SEER-Based Study.International journal of general medicine · 2021Article
- Nomogram forecasting 3-, 5-, and 8-year overall survival and cancer-specific survival of gingival squamous cell carcinoma.Cancer medicine · 2020Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
No nomogram models addressing the personalized prognosis evaluation of patients with gingival squamous cell carcinoma (GSCC) have been documented. We sought to establish nomograms to forecast overall survival (OS) and cancer-specific survival (CSS) of patients with GSCC. We collected the detailed clinicopathological information of 2505 patients with GSCC from the Surveillance, Epidemiology and End Results (SEER) program. Afterward, we divided the 2505 cases into a modeling group (n = 1253) and an external validation cohort (n = 1252) via random split-sample method. We developed the nomograms on the basis of the Kaplan-Meier and multivariate Cox survival analysis of the modeling group and then split the modeling cohort into two parts based on cut-off values: high- and low-risk cohorts. An improved survival was shown in the low-risk group compared to their counterpart, with a significant difference after the log-rank test. The performance of the nomograms was evaluated via concordance-index (C-index), the area under the receiver operating characteristic curve (AUC), and calibration curves. All the C-indexes and AUCs were greater than 0.7, showing high accuracy. Moreover, the calibrations showed that the actual observations were close to the 45° perfect reference line. In conclusion, we successfully developed two nomograms to provide individualized, patient-specific estimates of OS and CSS available for risk-stratification.
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