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. 2022 Apr 28;13:872854. doi: 10.3389/fphar.2022.872854

TABLE 1.

Summary of major algorithms used for signal detection.

Algorithms Equation a Criteria
ROR ROR=(a/b)/(c/d) 95% CI > 1, N ≥ 2
95%CI=eln(ROR)±1.96(1/a+1/b+1/c+1/d)^0.5
PRR PRR=(a/(a+c))/(b/(b+d)) PRR≥2, χ2 ≥ 4, N ≥ 3
χ2=((O-E)2/E)(O=a, E=(a+b)(a+c)/(a+b+c+d))
BCPNN IC=log2a(a+b+c+d)/((a+c)(a+b)) IC025 > 0
IC025=eln(IC)-1.96(1/a+1/b+1/c+1/d)^0.5
MGPS EBGM=a(a+b+c+d)/((a+c)(a+b)) EB05 ≥ 2, N > 0
EB05=eln(EBGM)-1.64(1/a+1/b+1/c+1/d)^0.5
a

a: number of reports containing both the suspect drug and the suspect adverse drug reaction. b: number of reports containing the suspect adverse drug reaction with other medications (except the drug of interest). c: number of reports containing the suspect drug with other adverse drug reactions (except the event of interest). d: number of reports containing other medications and other adverse drug reactions. Abbreviations: ROR, reporting odds ratio; CI, confidence interval; N, the number of co-occurrences; PRR, proportional reporting ratio; χ2, chi-squared; BCPNN, Bayesian confidence propagation neural network; IC, information component; IC025, the lower limit of the 95% two-sided CI, of the IC; MGPS, multi-item gamma Poisson shrinker; EBGM, empirical Bayesian geometric mean; EB05, the lower 90% one-sided CI of EBGM.