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Clinical applicability of a new scoring system for population-based screening and risk factors of gastric cancer in the Wannan region

BACKGROUND: We aimed to evaluate the clinical applicability of a new scoring system that comprises the variables age, sex, pepsinogen ratio (PGR), gastrin-17 (G-17), and Helicobacter pylori (Hp) infection for gastric cancer (GC) screening in the Wannan region, China. We also explored the risk factor...

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Autores principales: Li, Lin, Ni, Jinjing, Sun, Shenghong, Zha, Xiaojuan, Li, Rong, He, Chiyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219187/
https://www.ncbi.nlm.nih.gov/pubmed/35739473
http://dx.doi.org/10.1186/s12876-022-02384-w
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author Li, Lin
Ni, Jinjing
Sun, Shenghong
Zha, Xiaojuan
Li, Rong
He, Chiyi
author_facet Li, Lin
Ni, Jinjing
Sun, Shenghong
Zha, Xiaojuan
Li, Rong
He, Chiyi
author_sort Li, Lin
collection PubMed
description BACKGROUND: We aimed to evaluate the clinical applicability of a new scoring system that comprises the variables age, sex, pepsinogen ratio (PGR), gastrin-17 (G-17), and Helicobacter pylori (Hp) infection for gastric cancer (GC) screening in the Wannan region, China. We also explored the risk factors of GC in the Wannan region. METHODS: We prospectively enrolled asymptomatic participants from January 1, 2019 to June 30, 2021 at the First Affiliated Hospital of Wannan Medical College. We used a receiver operating characteristic (ROC) curve to estimate the screening value of combined measurements of pepsinogen I, PGII, PGR, G-17, and Hp. Univariate analysis and multivariate analysis were used to explore the independent risk factors of GC. RESULTS: A total of 25,194 asymptomatic patients were eventually screened. The area under the ROC curve (AUC) of combined measurements was 0.817 (95% confidence interval [CI] 0.721–0.913), the sensitivity was 81.5%, and the specificity was 77.8%. The detection rate of this new scoring system for GC screening in low-, medium-, and high-risk groups was 0%, 1.63%, and 9%, respectively (P < 0.001). Multivariate analysis showed that age (odds ratio [OR], 5.934; 95% CI 3.695–9.529; P < 0.001), sex (OR 5.721; 95% CI 2.579–12.695; P < 0.001), Hp infection (OR 1.992; 95% CI 1.255–3.163; P = 0.003), a history of smoking (OR 2.028; 95% CI 1.213–3.392; P = 0.007), consuming a high-salt diet (OR 2.877; 95% CI 1.807–4.580; P < 0.001), frequently eating pickled foods (OR 1.873; 95% CI 1.125–3.120; P = 0.016), and frequently eating fried foods (OR 2.459; 95% CI 1.384–4.369; P = 0.002) were independent risk factors for GC and precancerous lesions. However, frequent consumption of green vegetables (OR 0.388; 95% CI 0.242–0.620; P < 0.001) was an independent protective factor against GC and precancerous lesions. CONCLUSION: The new scoring system for GC screening was feasible in the Wannan region, especially in high-risk populations. Frequent consumption of green vegetables was an independent protective factor against GC and precancerous lesions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-022-02384-w.
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spelling pubmed-92191872022-06-24 Clinical applicability of a new scoring system for population-based screening and risk factors of gastric cancer in the Wannan region Li, Lin Ni, Jinjing Sun, Shenghong Zha, Xiaojuan Li, Rong He, Chiyi BMC Gastroenterol Research BACKGROUND: We aimed to evaluate the clinical applicability of a new scoring system that comprises the variables age, sex, pepsinogen ratio (PGR), gastrin-17 (G-17), and Helicobacter pylori (Hp) infection for gastric cancer (GC) screening in the Wannan region, China. We also explored the risk factors of GC in the Wannan region. METHODS: We prospectively enrolled asymptomatic participants from January 1, 2019 to June 30, 2021 at the First Affiliated Hospital of Wannan Medical College. We used a receiver operating characteristic (ROC) curve to estimate the screening value of combined measurements of pepsinogen I, PGII, PGR, G-17, and Hp. Univariate analysis and multivariate analysis were used to explore the independent risk factors of GC. RESULTS: A total of 25,194 asymptomatic patients were eventually screened. The area under the ROC curve (AUC) of combined measurements was 0.817 (95% confidence interval [CI] 0.721–0.913), the sensitivity was 81.5%, and the specificity was 77.8%. The detection rate of this new scoring system for GC screening in low-, medium-, and high-risk groups was 0%, 1.63%, and 9%, respectively (P < 0.001). Multivariate analysis showed that age (odds ratio [OR], 5.934; 95% CI 3.695–9.529; P < 0.001), sex (OR 5.721; 95% CI 2.579–12.695; P < 0.001), Hp infection (OR 1.992; 95% CI 1.255–3.163; P = 0.003), a history of smoking (OR 2.028; 95% CI 1.213–3.392; P = 0.007), consuming a high-salt diet (OR 2.877; 95% CI 1.807–4.580; P < 0.001), frequently eating pickled foods (OR 1.873; 95% CI 1.125–3.120; P = 0.016), and frequently eating fried foods (OR 2.459; 95% CI 1.384–4.369; P = 0.002) were independent risk factors for GC and precancerous lesions. However, frequent consumption of green vegetables (OR 0.388; 95% CI 0.242–0.620; P < 0.001) was an independent protective factor against GC and precancerous lesions. CONCLUSION: The new scoring system for GC screening was feasible in the Wannan region, especially in high-risk populations. Frequent consumption of green vegetables was an independent protective factor against GC and precancerous lesions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-022-02384-w. BioMed Central 2022-06-23 /pmc/articles/PMC9219187/ /pubmed/35739473 http://dx.doi.org/10.1186/s12876-022-02384-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Li, Lin
Ni, Jinjing
Sun, Shenghong
Zha, Xiaojuan
Li, Rong
He, Chiyi
Clinical applicability of a new scoring system for population-based screening and risk factors of gastric cancer in the Wannan region
title Clinical applicability of a new scoring system for population-based screening and risk factors of gastric cancer in the Wannan region
title_full Clinical applicability of a new scoring system for population-based screening and risk factors of gastric cancer in the Wannan region
title_fullStr Clinical applicability of a new scoring system for population-based screening and risk factors of gastric cancer in the Wannan region
title_full_unstemmed Clinical applicability of a new scoring system for population-based screening and risk factors of gastric cancer in the Wannan region
title_short Clinical applicability of a new scoring system for population-based screening and risk factors of gastric cancer in the Wannan region
title_sort clinical applicability of a new scoring system for population-based screening and risk factors of gastric cancer in the wannan region
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219187/
https://www.ncbi.nlm.nih.gov/pubmed/35739473
http://dx.doi.org/10.1186/s12876-022-02384-w
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