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Prediction of true Helicobacter pylori-uninfected status using a combination of age, serum antibody and pepsinogen: Logistic regression analysis

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  • Takako Takayama
  • Hideo Suzuki
  • Kosuke Okada
  • Takeshi Yamada
  • Kazushi Maruo
  • Yoko Saito
  • Yuji Mizokami

Abstract

Introduction: To prevent gastric cancer, it is important to accurately determine the presence of Helicobacter pylori (HP) infection. However, correctly identifying HP-uninfected individuals is difficult when using the combination of HP antibody and pepsinogen (PG). Objective: The aim of this study was to discriminate true HP-uninfected individuals from others without the need for endoscopic examination. Methods: A total of 684 subjects with no history of HP eradication who underwent a medical checkup at our hospital were enrolled. The “true uninfected individuals” were determined by a negative stool antigen test and no endoscopic findings of HP-associated gastritis. HP antibody was measured by the latex immunoassay method. Logistic regression analysis using a combination of noninvasive parameters was performed to develop a formula for predicting true uninfected individuals. Results: A total of 528 subjects were classified as true uninfected individuals. Logistic regression analysis showed that statistically significant factors for true uninfected individuals were age (p

Suggested Citation

  • Takako Takayama & Hideo Suzuki & Kosuke Okada & Takeshi Yamada & Kazushi Maruo & Yoko Saito & Yuji Mizokami, 2020. "Prediction of true Helicobacter pylori-uninfected status using a combination of age, serum antibody and pepsinogen: Logistic regression analysis," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-9, October.
    • Handle: RePEc:plo:pone00:0240040
    DOI: 10.1371/journal.pone.0240040
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    1. Teruhiko Terasawa & Hiroshi Nishida & Katsuaki Kato & Isao Miyashiro & Takaki Yoshikawa & Reo Takaku & Chisato Hamashima, 2014. "Prediction of Gastric Cancer Development by Serum Pepsinogen Test and Helicobacter pylori Seropositivity in Eastern Asians: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-11, October.
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