2017
DOI: 10.1016/j.cgh.2017.03.019
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A Model To Identify Individuals at High Risk for Esophageal Squamous Cell Carcinoma and Precancerous Lesions in Regions of High Prevalence in China

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Cited by 58 publications
(78 citation statements)
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“…A risk prediction model can be constructed based on these characteristics to identify individuals at high risk in the general population. An accurate and cost-effective prediction model based on this large-scale population-based screening study will have potential for application in real ESCC prevention by making screening more efficient, especially in rural areas of limited resources 28. People in high prevalence areas of China often have relatively low socioeconomic status, and low awareness of their health with limited ability to seek medical advice.…”
Section: Discussionmentioning
confidence: 99%
“…A risk prediction model can be constructed based on these characteristics to identify individuals at high risk in the general population. An accurate and cost-effective prediction model based on this large-scale population-based screening study will have potential for application in real ESCC prevention by making screening more efficient, especially in rural areas of limited resources 28. People in high prevalence areas of China often have relatively low socioeconomic status, and low awareness of their health with limited ability to seek medical advice.…”
Section: Discussionmentioning
confidence: 99%
“…20 A model for predicting the risk of severe esophageal dysplasia and higher-grade leisions has recently been developed from a cross-sectional study of a Chinese population. 21 Due to the case-control study design, as opposed to cohort studies, calibration of predicted absolute risk against observed risk was not possible. 14 Moreover, given the low absolute incidence rate of ESCC (<2/100,000 person-year in 1994-1997 in Sweden), 22 the study contained too few control participants (n=820) for such analysis.…”
Section: Absolute 5-year Risk Of Esophageal Squamous Cell Carcinomamentioning
confidence: 99%
“…A risk prediction model for EC is in use to identify high‐risk individuals in Australia, Iran, and Japan . In China, age‐specific models have been constructed to identify individuals at high risk who are 60 years of age or younger in Hua County, Henan Province, which has the highest EC incidence in China . The limitation of this model lies in its generalizability to other populations.…”
Section: Suggested Future Screening Modelmentioning
confidence: 99%
“…[64][65][66] In China, age-specific models have been constructed to identify individuals at high risk who are 60 years of age or younger in Hua County, Henan Province, which has the highest EC incidence in China. 67 The limitation of this model lies in its generalizability to other populations. We believe that separate models are necessary for different population subgroups.…”
Section: Suggested Future Screening Modelmentioning
confidence: 99%