ArticleBMC cancer2021
A nomogram for screening esophageal squamous cell carcinoma based on environmental risk factors in a high-incidence area of China: a population-based case-control study.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Risk prediction models for esophageal cancer: A systematic review and critical appraisal.Cancer medicine · 2021Pooled it
- Risk Prediction Model for Esophageal Cancer Among General Population: A Systematic Review.Frontiers in public health · 2021Pooled it
- Association of stromal tumor infiltrating lymphocytes and body mass index with prognosis in esophageal squamous cell carcinoma patients.BMC cancer · 2026Article
- A model for projecting individuals' risk of esophageal squamous cell carcinoma in a high-risk Chinese population.Gastroenterology report · 2026Article
- Opportunities and challenges of artificial intelligence-assisted endoscopy and high-quality data for esophageal squamous cell carcinoma.World journal of gastrointestinal oncology · 2026Review
- A Simplified Nomogram for Primary Population-Based Screening of Esophageal Cancer: An Internally Validated Shandong Cohort Study Addressing Data Imbalance.Risk management and healthcare policy · 2026Article
- Development and external validation of a nomogram for predicting the risk of developing esophageal cancer based on a questionnaire: a multicenter case-control study.Frontiers in oncology · 2025Article
- Genetic and molecular characterization of metabolic pathway-based clusters in esophageal squamous cell carcinoma.Scientific reports · 2024Article
- Cancer situation in China: what does the China cancer map indicate from the first national death survey to the latest cancer registration?Cancer communications (London, England) · 2023Article
- Association of interleukin-10Open life sciences · 2023Article
- Study protocol for artificial intelligence-assisted sponge cytology as pre-endoscopy screening for early esophegeal squmaous epithelial lesions in China.BMC cancer · 2022Article
- Burden of All Cancers Along With Attributable Risk Factors in China From 1990 to 2019: Comparison With Japan, European Union, and USA.Frontiers in public health · 2022Article
- Development and Validation of an Esophageal Squamous Cell Carcinoma Risk Prediction Model for Rural Chinese: Multicenter Cohort Study.Frontiers in oncology · 2021Article
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12 authors.
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Abstract
backgroundSelection of high-risk subjects for endoscopic screening of esophageal squamous cell carcinoma (ESCC) lacks individual predictive tools based on environmental risk factors.
methodsWe performed a large population-based case-control study of 1418 ESCC cases and 1992 controls in a high-risk area of China. Information on potential risk factors was collected via face-to-face interview using an electronic structured questionnaire. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using unconditional logistic regression models, and predictive nomograms were established accordingly. A weighted analysis was further conducted to introduce age into predictive nomograms due to frequency matching study design.
resultsMost cases were usually exposed to 4 to 6 risk factors, but most controls were usually exposed to 3 to 5 risk factors. The AUCs of male and female predictive nomograms were 0.75 (95%CI: 0.72, 0.77) and 0.76 (95%CI: 0.73, 0.79), respectively. The weighted analysis adding age in the predictive model improved the AUC in both men and women (0.81 (95%CI: 0.79, 0.84) and 0.88 (95%CI: 0.85, 0.90), respectively).
conclusionsAn easy-to-use preclinical predictive tool is provided to select candidate population with high ESCC risk for endoscopic screening. Its usefulness needs to be further evaluated in future screening practice.
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