Nomograms predicting long-term overall survival and cancer-specific survival in head and neck squamous cell carcinoma patients

Ju, Jun; Jia, Wang; Li, Yun; Zhao, Zhigang; Gao, Tao; Ni, Qianwei; Sun, Miao

doi:10.18632/oncotarget.10595

Cited by 37 publications

(32 citation statements)

References 29 publications

(26 reference statements)

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“…To ensure the predictive accuracy of our nomogram, C‐indexes and calibration plots were applied to estimate the predictive accuracy of the models by performing internal validation. Our nomogram performed excellently in predicting DSS of Ca‐ex‐PA, and its prediction was supported by the C‐index (0.90 and 0.86 for the primary and validation cohorts, respectively) and the calibration curve, which compared very favorably with those of other widely accepted nomograms in other cancers, whose C‐indexes ranged from 0.60‐0.80. When compared with the TNM classification system (0.75 and 0.77 for the primary and validation cohorts, respectively), our nomogram also showed better predictive accuracy for survival.…”

Section: Discussionsupporting

confidence: 63%

Prognostic nomogram for disease‐specific survival of carcinoma ex pleomorphic adenoma of the salivary gland

Zhang

et al. 2017

Head & Neck

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Section: Discussionsupporting

confidence: 63%

Prognostic nomogram for disease‐specific survival of carcinoma ex pleomorphic adenoma of the salivary gland

Zhang

et al. 2017

Head & Neck

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“…Our results indicated that the OS and CSS of black OSCC patients were lower than that of other races, which was consistent with the research . One research study hypothesized that melanin might contribute to the development of OSCC . The OSCC patients had an improved OS and CSS after surgery and radiation therapy (Figs.…”

Section: Discussionmentioning

confidence: 99%

Nomograms forecasting long‐term overall and cancer‐specific survival of patients with oral squamous cell carcinoma

et al. 2018

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Our aim was to establish a “nomogram” model to forecast the overall survival (OS) and cancer‐specific survival (CSS) of oral squamous cell carcinoma (OSCC) patients. The clinicopathological data for the 10,533 OSCC patients were collected from the Surveillance, Epidemiology and End Results (SEER) database. We used a credible random split‐sample method to divide 10,533 patients into two cohorts: 7046 patients in the modeling cohort and 3487 patients in the external validation cohort (split‐ratio = 2:1). The median follow‐up period was 32 months (1–119 months). We developed nomograms to predict 5‐ and 8‐year OS and CSS of OSCC patients with a Cox proportional hazards model. The precision of the nomograms was assessed by the concordance index (C‐index) and calibration curves through internal and external validation. The C‐indexes of internal validation regarding 5‐ and 8‐year OS and CSS were 0.762 and 0.783, respectively. In addition, the external validation's C‐indexes were 0.772 and 0.800. Based on a large‐sample analysis targeting the SEER database, we established two nomograms to predict long‐term OS and CSS for OSCC patients successfully, which can assist surgeons in developing a more effective therapeutic regimen and conducting personalized prognostic evaluations.

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“…The level of agreement for the second phase was 88% with a kappa of 0.77. A total of 44 studies remained for the final analysis . The list of excluded papers with the reasons for exclusion can be found in the Supporting Information S3.…”

Section: Methodsmentioning

confidence: 99%

Personalized prognostication in head and neck cancer: A systematic review of nomograms according to the AJCC precision medicine core (PMC) criteria

et al. 2019

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Background The American Joint Committee on Cancer (AJCC) Precision Medicine Core (PMC) has recognized the need for more personalized probabilistic predictions above the “TNM” staging system and has recently released a checklist of inclusion and exclusion criteria for evaluating prognostic models. Methods A systematic review of articles in which nomograms were created for head and neck cancer (HNC) was carried out according to Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines. The AJCC PMC criteria were used to score the individual studies. Results Forty‐four studies were included in the final qualitative analysis. The mean number of inclusion criteria met was 9.3 out of 13, and the mean number of exclusion criteria met was 2.1 out of 3. Studies were generally of high quality, but no single study fulfilled all of the AJCC PMC criteria. Conclusion This is the first study to utilize the AJCC checklist to comprehensively evaluate the published prognostic nomograms in HNC. Future studies should attempt to adhere to the AJCC PMC criteria. Recommendations for future research are given. Summary The AJCC recently released a set of criteria to grade the quality of prognostic cancer models. In this study, we grade all published nomograms for head and neck cancer according to the new guidelines.

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Nomograms predicting long-term overall survival and cancer-specific survival in head and neck squamous cell carcinoma patients

Cited by 37 publications

References 29 publications

Prognostic nomogram for disease‐specific survival of carcinoma ex pleomorphic adenoma of the salivary gland

Prognostic nomogram for disease‐specific survival of carcinoma ex pleomorphic adenoma of the salivary gland

Nomograms forecasting long‐term overall and cancer‐specific survival of patients with oral squamous cell carcinoma

Personalized prognostication in head and neck cancer: A systematic review of nomograms according to the AJCC precision medicine core (PMC) criteria

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