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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
BACKGROUND: Selection of high-risk subjects for endoscopic screening of esophageal squamous cell carcinoma (ESCC) lacks individual predictive tools based on environmental risk factors. METHODS: We performed a large population-based case-control study of 1418 ESCC cases and 1992 controls in a high-ri...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011400/ https://www.ncbi.nlm.nih.gov/pubmed/33789604 http://dx.doi.org/10.1186/s12885-021-08053-7 |
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author | Yang, Xiaorong Suo, Chen Zhang, Tongchao Yin, Xiaolin Man, Jinyu Yuan, Ziyu Chen, Hui Yu, Jingru Jin, Li Chen, Xingdong Lu, Ming Ye, Weimin |
author_facet | Yang, Xiaorong Suo, Chen Zhang, Tongchao Yin, Xiaolin Man, Jinyu Yuan, Ziyu Chen, Hui Yu, Jingru Jin, Li Chen, Xingdong Lu, Ming Ye, Weimin |
author_sort | Yang, Xiaorong |
collection | PubMed |
description | BACKGROUND: Selection of high-risk subjects for endoscopic screening of esophageal squamous cell carcinoma (ESCC) lacks individual predictive tools based on environmental risk factors. METHODS: We 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. RESULTS: Most 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). CONCLUSIONS: An 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08053-7. |
format | Online Article Text |
id | pubmed-8011400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80114002021-04-01 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 Yang, Xiaorong Suo, Chen Zhang, Tongchao Yin, Xiaolin Man, Jinyu Yuan, Ziyu Chen, Hui Yu, Jingru Jin, Li Chen, Xingdong Lu, Ming Ye, Weimin BMC Cancer Research Article BACKGROUND: Selection of high-risk subjects for endoscopic screening of esophageal squamous cell carcinoma (ESCC) lacks individual predictive tools based on environmental risk factors. METHODS: We 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. RESULTS: Most 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). CONCLUSIONS: An 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08053-7. BioMed Central 2021-03-31 /pmc/articles/PMC8011400/ /pubmed/33789604 http://dx.doi.org/10.1186/s12885-021-08053-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Yang, Xiaorong Suo, Chen Zhang, Tongchao Yin, Xiaolin Man, Jinyu Yuan, Ziyu Chen, Hui Yu, Jingru Jin, Li Chen, Xingdong Lu, Ming Ye, Weimin 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011400/ https://www.ncbi.nlm.nih.gov/pubmed/33789604 http://dx.doi.org/10.1186/s12885-021-08053-7 |
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