Assessment of signals generated from spontaneously reported adverse events

Whereas in the previous article in this series approaches to signal generation were discussed, the present article will address what to do when a signal has been generated. Finding a signal heralds additional work Ð often a great deal of work Ð for the pharmacovigilance expert. In fact, a signal always needs further evaluation since, by its very nature, a signal is not actual evidence that there is something wrong with the drug concerned. Furthermore, if the signal turns out to indicate a real side e€ect, action may need to be taken, such as a drug labelling revision.

[1]  W. Amery Signal generation from spontaneous adverse event reports , 1999, Pharmacoepidemiology and drug safety.

[2]  J. Evans,et al.  Do H2‐receptor antagonists cause acute pancreatitis? , 1998, Pharmacoepidemiology and drug safety.

[3]  A. Bate,et al.  A Bayesian neural network method for adverse drug reaction signal generation , 1998, European Journal of Clinical Pharmacology.

[4]  R. Mann,et al.  Prescription-event monitoring (PEM) in 1996-a method of non-interventional observational cohort pharmacovigilance. , 1997, Pharmacoepidemiology and drug safety.