Development and Validation of Esophageal Squamous Cell Carcinoma Risk Prediction Models Based on an Endoscopic Screening Program

Author:

Han Junming12,Guo Xiaolei3,Zhao Li4,Zhang Huan5,Ma Siqi5,Li Yan6,Zhao Deli6,Wang Jialin57,Xue Fuzhong128

Affiliation:

1. Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China

2. Healthcare Big Data Research Institute, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China

3. The Department for Chronic and Noncommunicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention and Academy of Preventive Medicine, Shandong University, Jinan, China

4. Department of Scientific Research and Teaching, Feicheng Hospital Affiliated to Shandong First Medical University, Feicheng, China

5. School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China

6. Cancer Prevention and Treatment Center, Feicheng People’s Hospital, Feicheng, China

7. Department of Human Resource, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China

8. Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China

Abstract

ImportanceAssessment tools are lacking for screening of esophageal squamous cell cancer (ESCC) in China, especially for the follow-up stage. Risk prediction to optimize the screening procedure is urgently needed.ObjectiveTo develop and validate ESCC prediction models for identifying people at high risk for follow-up decision-making.Design, Setting, and ParticipantsThis open, prospective multicenter diagnostic study has been performed since September 1, 2006, in Shandong Province, China. This study used baseline and follow-up data until December 31, 2021. The data were analyzed between April 6 and May 31, 2022. Eligibility criteria consisted of rural residents aged 40 to 69 years who had no contraindications for endoscopy. Among 161 212 eligible participants, those diagnosed with cancer or who had cancer at baseline, did not complete the questionnaire, were younger than 40 years or older than 69 years, or were detected with severe dysplasia or worse lesions were eliminated from the analysis.ExposuresRisk factors obtained by questionnaire and endoscopy.Main Outcomes and MeasuresPathological diagnosis of ESCC and confirmation by cancer registry data.ResultsIn this diagnostic study of 104 129 participants (56.39% women; mean [SD] age, 54.31 [7.64] years), 59 481 (mean [SD] age, 53.83 [7.64] years; 58.55% women) formed the derivation set while 44 648 (mean [SD] age, 54.95 [7.60] years; 53.51% women) formed the validation set. A total of 252 new cases of ESCC were diagnosed during 424 903.50 person-years of follow-up in the derivation cohort and 61 new cases from 177 094.10 person-years follow-up in the validation cohort. Model A included the covariates age, sex, and number of lesions; model B included age, sex, smoking status, alcohol use status, body mass index, annual household income, history of gastrointestinal tract diseases, consumption of pickled food, number of lesions, distinct lesions, and mild or moderate dysplasia. The Harrell C statistic of model A was 0.80 (95% CI, 0.77-0.83) in the derivation set and 0.90 (95% CI, 0.87-0.93) in the validation set; the Harrell C statistic of model B was 0.83 (95% CI, 0.81-0.86) and 0.91 (95% CI, 0.88-0.95), respectively. The models also had good calibration performance and clinical usefulness.Conclusions and RelevanceThe findings of this diagnostic study suggest that the models developed are suitable for selecting high-risk populations for follow-up decision-making and optimizing the cancer screening process.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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