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Figure 1. Design and data processing in a study of the effectiveness of endoscopic screening for esophageal cancer, Hua ... Figure 1. Design and data processing.

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Presentation on theme: "Figure 1. Design and data processing in a study of the effectiveness of endoscopic screening for esophageal cancer, Hua ... Figure 1. Design and data processing."— Presentation transcript:

1 Figure 1. Design and data processing in a study of the effectiveness of endoscopic screening for esophageal cancer, Hua ... Figure 1. Design and data processing in a study of the effectiveness of endoscopic screening for esophageal cancer, Hua County, Henan Province, China, 2007–2016. CIS, carcinoma in situ; EC, esophageal cancer; GI, gastrointestinal; SD, standard deviation. Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( Am J Epidemiol, Volume 188, Issue 4, 04 January 2019, Pages 776–784, The content of this slide may be subject to copyright: please see the slide notes for details.

2 Figure 2. Esophageal cancer (EC) incidence and mortality among 5,632 residents aged 25–65 years from 6 rural villages ... Figure 2. Esophageal cancer (EC) incidence and mortality among 5,632 residents aged 25–65 years from 6 rural villages in Hua County, Henan Province, China, as compared with the average cancer incidence and mortality in Hua County, 2007–2016. A) Cumulative observed (triangles) and expected (squares) incidence (per 100,000 population) of EC in the cohort (standardized incidence ratio = 0.53, 95% confidence interval: 0.33, 0.87); B) cumulative observed (triangles) and expected (square) mortality from EC (per 100,000 population) in the cohort (standardized mortality ratio = 0.34, 95% confidence interval: 0.14, 0.81). Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( Am J Epidemiol, Volume 188, Issue 4, 04 January 2019, Pages 776–784, The content of this slide may be subject to copyright: please see the slide notes for details.

3 Figure 3. Effectiveness of endoscopic screening for esophageal cancer in Hua County, Henan Province, China, after ... Figure 3. Effectiveness of endoscopic screening for esophageal cancer in Hua County, Henan Province, China, after consideration of the geographical variation in baseline cancer risk in a simulation analysis, 2007–2016. A) Observed numbers of esophageal cancer cases (n = 16) versus the distribution of expected cases determined using incidence calculated from randomly selected cohorts (P = 5.22 × 10<sup>−4</sup>); B) observed numbers of esophageal cancer deaths (n = 5) versus the distribution of expected deaths determined using mortality calculated from randomly selected cohorts (P = 5.91 × 10<sup>−4</sup>). Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( Am J Epidemiol, Volume 188, Issue 4, 04 January 2019, Pages 776–784, The content of this slide may be subject to copyright: please see the slide notes for details.

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