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. 2020 Sep 16;22(9):e21983. doi: 10.2196/21983

Table 3.

Summary of diagnostic test accuracy and subgroup analysis of the included studies with image-based analysis.

Subgroup Number of included studies Sensitivity (95% CI) Specificity (95% CI) PLRa NLRb DORc AUCd
Value of meta-analysis in all the included (bivariate and HSROCe method) 4 0.81 (0.68-0.90) 0.93 (0.82-0.98) 12.3 (3.8-39.2) 0.20 (0.11-0.38) 61 (11-322) 0.93 (0.90-0.95)
Value of meta-analysis in all the included (Moses-Shapiro-Littenberg method)
0.90 (0.89-0.91) 0.94 (0.93-0.95) 11.1 (1.6-76.2) 0.20 (0.08-0.52) 56 (5-591) 0.90 (0.71-0.99)
Methodological quality of included studies







High quality 3 0.90 (0.87-0.91) 0.94 (0.93-0.95) 13.1 (1.4-124.5) 0.22 (0.08-0.62) 61 (4-919) 0.87 (0.43-0.99)

Low quality 1 Null Null Null Null Null Null
Total number of included patients







≤100 3 0.90 (0.87-0.91) 0.94 (0.93-0.95) 13.1 (1.4-124.5) 0.22 (0.08-0.62) 61 (4-919) 0.87 (0.43-0.99)

<100 1 Null Null Null Null Null Null
Format of study







Retrospective 3 0.90 (0.87-0.91) 0.94 (0.93-0.95) 13.1 (1.4-124.5) 0.22 (0.08-0.62) 61 (4-919) 0.87 (0.43-0.99)

Prospective 1 Null Null Null Null Null Null
Published year







After 2010 4 0.90 (0.89-0.91) 0.94 (0.93-0.95) 11.1 (1.6-76.2) 0.20 (0.08-0.52) 56 (5-591) 0.90 (0.71-0.99)

Before 2010 0





Type of AIf







Neural network–based 3 0.91 (0.90-0.92) 0.97 (0.96-0.97) 16.8 (2.0-141.7) 0.17 (0.05-0.61) 98 (6-1640) 0.95 (0.75-0.99)

SVMg–based 1 Null Null Null Null Null Null
Type of endoscopic image







WLIh 3 0.91 (0.90-0.92) 0.97 (0.96-0.97) 16.8 (2.0-141.7) 0.17 (0.05-0.61) 98 (6-1640) 0.95 (0.75-0.99)

LCIi 1 Null Null Null Null Null Null
Classifying performance between Helicobacter pylori–positive vs H pylori–naïve images 3 0.77 (0.71-0.82) 0.96 (0.94-0.98) 11.8 (3.7-38.3) 0.26 (0.21-0.32) 53 (17-161) 0.88 (0.79-0.96)

aPLR: positive likelihood ratio.

bNLR: negative likelihood ratio.

cDOR: diagnostic odds ratio.

dAUC: area under the curve.

eHSROC: hierarchical summary receiver operating characteristic.

fAI: artificial intelligence.

gSVM: support vector machine.

hWLI: white-light imaging.

iLCI: linked color imaging.