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Serum pepsinogen levels in different regions of China and its influencing factors: a multicenter cross-sectional study

BACKGROUND: The aim of this study is to investigate the difference of serum pepsinogen (PG) baseline levels in different regions of China and its influencing factors. METHODS: From October 2016 to October 2018, asymptomatic health checkup people who underwent nasal endoscopy in nine health managemen...

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Autores principales: Tong, Yuling, Wang, Hongguang, Zhao, Yi, He, Xueqiang, Xu, Hongwei, Li, Hong, Shuai, Ping, Gong, Lirong, Wu, Hongbo, Xu, Hongzhi, Luo, Yinhu, Wang, Dong, Liu, Shizhu, Song, Zhenya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199540/
https://www.ncbi.nlm.nih.gov/pubmed/34118868
http://dx.doi.org/10.1186/s12876-021-01794-6
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author Tong, Yuling
Wang, Hongguang
Zhao, Yi
He, Xueqiang
Xu, Hongwei
Li, Hong
Shuai, Ping
Gong, Lirong
Wu, Hongbo
Xu, Hongzhi
Luo, Yinhu
Wang, Dong
Liu, Shizhu
Song, Zhenya
author_facet Tong, Yuling
Wang, Hongguang
Zhao, Yi
He, Xueqiang
Xu, Hongwei
Li, Hong
Shuai, Ping
Gong, Lirong
Wu, Hongbo
Xu, Hongzhi
Luo, Yinhu
Wang, Dong
Liu, Shizhu
Song, Zhenya
author_sort Tong, Yuling
collection PubMed
description BACKGROUND: The aim of this study is to investigate the difference of serum pepsinogen (PG) baseline levels in different regions of China and its influencing factors. METHODS: From October 2016 to October 2018, asymptomatic health checkup people who underwent nasal endoscopy in nine health management centers in different regions of China were collected. Lifestyle questionnaires were conducted, and serum PG and gastroscopy were performed. The differences in PG levels in baseline population (OLGA-0 grade) were studied according to geographical subregions of China. SPSS software was used for statistical analysis. RESULTS: 1922 patients were included in the final analysis. Compared with the non-atrophy (OLGA-0) group, PGR levels in atrophy group (OLGA-I to IV) were significantly decreased with the atrophy degree (p < 0.05). A total of 1590 baseline people (OLGA-0) were included in the study, including 254 from South China, 574 from East China, 210 from Southwest China, 332 from Northeast China, and 220 from Central/Northern China. There were significant differences in baseline PGI levels among the five regions (p < 0.05). The PGII levels were also different among the five regions, except for Central/Northern versus Southern China. PGR (PGI/PGII ratio) levels in Southern China were higher than other four regions. Further studies were conducted on the related factors that might affect the baseline PG level, which was affected by nationality, dietary habits, smoking, Helicobacter pylori infection and other related factors. CONCLUSION: Influenced by many factors, the baseline PG levels are different in different regions of China. In the follow-up studies of PG cut-off value, different PG cut-off value based on region may be more effective in the screening of gastric cancer and precancerous lesions in China.
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spelling pubmed-81995402021-06-15 Serum pepsinogen levels in different regions of China and its influencing factors: a multicenter cross-sectional study Tong, Yuling Wang, Hongguang Zhao, Yi He, Xueqiang Xu, Hongwei Li, Hong Shuai, Ping Gong, Lirong Wu, Hongbo Xu, Hongzhi Luo, Yinhu Wang, Dong Liu, Shizhu Song, Zhenya BMC Gastroenterol Research BACKGROUND: The aim of this study is to investigate the difference of serum pepsinogen (PG) baseline levels in different regions of China and its influencing factors. METHODS: From October 2016 to October 2018, asymptomatic health checkup people who underwent nasal endoscopy in nine health management centers in different regions of China were collected. Lifestyle questionnaires were conducted, and serum PG and gastroscopy were performed. The differences in PG levels in baseline population (OLGA-0 grade) were studied according to geographical subregions of China. SPSS software was used for statistical analysis. RESULTS: 1922 patients were included in the final analysis. Compared with the non-atrophy (OLGA-0) group, PGR levels in atrophy group (OLGA-I to IV) were significantly decreased with the atrophy degree (p < 0.05). A total of 1590 baseline people (OLGA-0) were included in the study, including 254 from South China, 574 from East China, 210 from Southwest China, 332 from Northeast China, and 220 from Central/Northern China. There were significant differences in baseline PGI levels among the five regions (p < 0.05). The PGII levels were also different among the five regions, except for Central/Northern versus Southern China. PGR (PGI/PGII ratio) levels in Southern China were higher than other four regions. Further studies were conducted on the related factors that might affect the baseline PG level, which was affected by nationality, dietary habits, smoking, Helicobacter pylori infection and other related factors. CONCLUSION: Influenced by many factors, the baseline PG levels are different in different regions of China. In the follow-up studies of PG cut-off value, different PG cut-off value based on region may be more effective in the screening of gastric cancer and precancerous lesions in China. BioMed Central 2021-06-12 /pmc/articles/PMC8199540/ /pubmed/34118868 http://dx.doi.org/10.1186/s12876-021-01794-6 Text en © The Author(s) 2021 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
Tong, Yuling
Wang, Hongguang
Zhao, Yi
He, Xueqiang
Xu, Hongwei
Li, Hong
Shuai, Ping
Gong, Lirong
Wu, Hongbo
Xu, Hongzhi
Luo, Yinhu
Wang, Dong
Liu, Shizhu
Song, Zhenya
Serum pepsinogen levels in different regions of China and its influencing factors: a multicenter cross-sectional study
title Serum pepsinogen levels in different regions of China and its influencing factors: a multicenter cross-sectional study
title_full Serum pepsinogen levels in different regions of China and its influencing factors: a multicenter cross-sectional study
title_fullStr Serum pepsinogen levels in different regions of China and its influencing factors: a multicenter cross-sectional study
title_full_unstemmed Serum pepsinogen levels in different regions of China and its influencing factors: a multicenter cross-sectional study
title_short Serum pepsinogen levels in different regions of China and its influencing factors: a multicenter cross-sectional study
title_sort serum pepsinogen levels in different regions of china and its influencing factors: a multicenter cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199540/
https://www.ncbi.nlm.nih.gov/pubmed/34118868
http://dx.doi.org/10.1186/s12876-021-01794-6
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