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Table 1 Formulas and signal detection criterias for reporting odds ratio (ROR), proportional reporting ratio (PRR) and bayesian confidence propagation neural network (BCPNN)

From: Real-world study of adverse events associated with triptan use in migraine treatment based on the U.S. Food and Drug Administration (FDA) adverse event reporting system (FAERS) database

Algorithms

Equation

Criteria

 

ROR

ROR=ad/bc

lower limitof 95%CI>1,a≥3

 

95%CI=eIn(ROR)±1.96(1/a+1/b+1/c+1/d)^0.5

 

PRR

PRR=a(c+d)/c/(a+b)

PRR>2,χ²>4,a>3

 

χ²=[(ad-bc)^2](a+b+c+d)/[(a+b)(c+d)(a+c)(b+d)]

 

BCPNN

IC=log2a(a+b+c+d)(a+c)(a+b)

IC025>0

 

95%CI=E(IC)±2V(IC)^0.5

 

Fourfold table of disproportionality measures.

Target AE 

OtherAE

Total

Target drugs

a

b

a+b

Other drugs 

c

d

c + d

Total

a+c

b + d

a+b + c + d

  1. ROR reporting odds ratio, CI confidence interval, PRR proportional reporting ratio, χ2 chi-squared, BCPNN bayesian confidence propagation neural network, IC information component, IC025 the lower limit of 95%CI, of the IC