Predicting survival in patients with buccal cancer: A study based on SEER database and external validation in China.

OBJECTIVE: Buccal mucosa cancer (BMC) is one of the most common oral cancers and has poor prognosis. The study aimed to develop and validate nomograms for predicting the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) of BMC patients. METHODS: We collected and reviewed information on BMC patients diagnosed between 2004 and 2019 from the Surveillance Epidemiology and End Results database. Two nomograms were developed and validated to predict the OS and CSS based on predictors identified by univariate and multivariate Cox regression. An extra external validation was further performed using data from Sun Yat-sen Memorial Hospital (SYSMH). RESULTS: A total of 3154 BMC patients included in this study were randomly assigned to training and validation groups in a 2:1 ratio. Independent prognostic predictors were identified, confirmed, and fitted into nomograms for OS and CSS, respectively. The C-indices are 0.767 (Training group OS), 0.801 (Training group CSS), 0.763 (Validation group OS), and 0.781 (Validation group OS), respectively. Moreover, the nomograms exhibited remarkable precision in forecasting and significant clinical significance, as evidenced by receiver operating characteristic (ROC) curves, calibration curves, and decision curve analyses (DCA). The final validation using our data from SYSMH also showed high accuracy and substantial clinical benefits within the nomograms. The C-indices are 0.849 (SYSMH group OS) and 0.916 (SYSMH group CSS). These indexes are better than tumor, node, and metastasis stage based on prediction results. CONCLUSIONS: The nomograms developed with great performance predicted 1-, 3-, and 5-year OS and CSS of BMC patients. Use of the nomograms in clinical practices shall bring significant benefits to BMC patients.

Food safety governance information tool design in trust crisis - Analysis based on consumer trust perspective.

In this paper, we use the method of principal-form analysis, based on 836 consumer survey data obtained from mobile Internet, and analyze the trust of current residents' tea consumption behavior on information content, presentation form, subject and other elements of information tools and their influence on the pollution-free certified products with the help of descriptive statistical analysis, KMO test and common factor extraction method. It was found that, firstly, the higher the trust of tea consumers in information content, the higher the additional willingness to pay; secondly, the form trust also significantly affects tea consumers' willingness to pay for pollution-free certified tea, and the specific cognitive information presentation form can effectively enhance tea consumers' willingness to pay; thirdly, there are significant differences in the trust of subjects, and enhancing the trust of industrial subjects helps to improve the pollution-free certified industrial The effect of trust of external subjects is not significant; fourth, the higher the tea consumers' care about the attributes of experienced products, the higher the degree of knowledge about the three products and one standard, and the higher the consumers' education, the higher they are willing to pay higher prices for traceable tea.