Key result
A 5-variable risk scoring system demonstrated good distinguishing ability for advanced colorectal neoplasm risk with an AUC of 0.75 (95% CI 0.69-0.82).
Why the study?
Does a 5-variable risk scoring system accurately predict the risk of advanced colorectal neoplasm in an average-risk population?
Observational (n=905)
Does a 5-variable risk scoring system accurately predict the risk of advanced colorectal neoplasm in an average-risk population?
Effect estimate: AUC 0.75 (95% CI 0.69-0.82)
p-value: p=0.205
A novel 5-variable risk scoring system that includes coronary heart disease demonstrates good predictive ability for advanced colorectal neoplasm screening in an average-risk population.
May support risk stratification incorporating CHD for colorectal neoplasm screening; leaves open prospective validation and outcome impact in average-risk adults.
OBJECTIVE: The aim of this study was to establish the risk scoring system towards the advanced colorectal neoplasm (CN) risk in the average-risk populations in the southern Jiangsu Province, and to evaluate the screening efficacy. METHODS: Totally 905 cases of the average-risk populations who received the colonoscopy were selected as the objective. The multivariate logistic regression analysis method was used to establish the scoring system towards the occurrence risk of the advanced tumor, and its screening efficacy was evaluated through the prediction consistency, distinguishing ability and screening accuracy. RESULTS: The scoring system consisted of five variables, namely age, gender, coronary heart disease, egg intake and stool frequency. The results revealed that it had good prediction consistency (P=0.205) and distinguishing ability [the area under the receiver operating characteristic (ROC) curve was 0.75, with 95% confidence interval (95% CI) of 0.69-0.82]. Thus, 2.5 points was set as the screening cutoff value, and its sensitivity, specificity, accuracy, positive predictive value, negative predictive value, positive likelihood ratio and negative likelihood ratio were 93.8%, 47.6%, 50.1%, 9.1%, 99.3%, 1.79 and 0.13, respectively. CONCLUSIONS: The established scoring system had good screening efficacy, and can be used as the screening tool applying to the CN screening within the average-risk populations in the southern Jiangsu Province.
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Chen et al. (2014) conducted an observational in Advanced colorectal neoplasm (n=905). 5-variable risk scoring system was evaluated on Occurrence risk of advanced tumor (distinguishing ability) (AUC 0.75, 95% CI 0.69-0.82, p=0.205). A 5-variable risk scoring system demonstrated good distinguishing ability for advanced colorectal neoplasm risk with an AUC of 0.75 (95% CI 0.69-0.82).
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