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. 2019 Mar 29;68(9):1576–1587. doi: 10.1136/gutjnl-2018-317556

Table 5.

Comparison between the prediction rule and alternative prediction methods in the validation cohort

Prediction method Predictors Score range or risk groups AUC (95% CI) P value
This study Age, sex, H. pylori infection, PG I/II ratio, G-17, pickled food, and fried food. 0 to 25 0.757 (0.729 to 0.786) Reference
ABC method by Miki9* H. pylori infection, PG I and PG I/II ratio. Groups A, B, C and D 0.527 (0.476 to 0.579) <0.001
ELISA-based ABC method in China5 6 H. pylori infection, PG I and PG I/II ratio. Groups A, B, C and D 0.575 (0.522 to 0.629) <0.001
Five markers-based method by Tu et al 5 H. pylori infection, PG I, PG II, PG I/II ratio and G-17. 0 to 21 0.589 (0.548 to 0.630) <0.001

*Subjects were classified into 1 of 4 risk groups based on the results of the two serologic tests, anti-H. pylori IgG antibody titres and the PG I and II levels: group A [H. pylori(−) and PG(−)], group B [H. pylori(+) and PG(−)], group C [H. pylori(+) and PG(+)] and group D [H. pylori (−) and PG(+)]. For the PG method, the cut-off points for identifying the risk of gastric cancer should be ≤70 ng/mL for PG I and ≤3.0 for the PGI/II ratio.

†The risk stratification method was the same as the ABC method by Miki except the definition of abnormal PG, that is, ≤70 ng/mL for PG I and ≤7.0 for the PGI/II ratio.

AUC, area under the receiver operating characteristic curve; ELISA, enzyme-linked immunosorbent assay; G-17, gastrin-17; H. pylori, Helicobacter pylori; PG, pepsinogen.