Figure 1.
Flowchart of studies included in the meta-analysis.
Table 1.
Characteristics of studies included in the meta-analysis of the diagnosis of PBC using the GP210 and SP100 test.
Figure 2.
Summary of assessment of the 25 articles on GP210 and 21 articles on SP100 analyzed using the quality assessment of diagnostic accuracy studies (QUADAS) checklist.
Figure 3.
Forest plot of the sensitivity and specificity of GP210 (study*) and SP100 (study**) in the diagnosis of PBC.
Only the first author of each study is given. Sensitivity and specificity given with CIs. Abbreviations: CI = confidence interval.
Figure 4.
The SROC curve of the GP210 and SP100 test for the diagnosis of PBC.
Sample size is indicated by the size of the square. The regression SROC curve indicates the overall diagnostic accuracy. (A) The SROC curves for all data sets about GP210. (B) The SROC curves for all data sets about SP100. Abbreviations: AUC, area under curve; SROC curve, summary receiver operator curve; SE, standard error; Q*, index.
Table 2.
Stratified analyses of the included studies about regions and methods.
Figure 5.
Funnel plot of all included studies.
(A) Funnel plot of all included studies for GP210. (B) Funnel plot of all included studies for SP100.
Table 3.
The sensitivities of combined AMA with GP210 or SP100 in PBC patients and the positive rate of GP210 or SP100 in AMA-negtive PBC patients.