Influence of the MedDRA® hierarchy on pharmacovigilance data mining results

@article{Pearson2009InfluenceOT,
  title={Influence of the MedDRA® hierarchy on pharmacovigilance data mining results},
  author={Ronald K. Pearson and Manfred Hauben and David I. Goldsmith and A. Lawrence Gould and David Madigan and Donald J. O'Hara and Stephanie J. Reisinger and Alan Hochberg},
  journal={International journal of medical informatics},
  year={2009},
  volume={78 12},
  pages={e97-e103}
}
PURPOSE To compare the results of drug safety data mining with three different algorithms, when adverse events are identified using MedDRA Preferred Terms (PT) vs. High Level Terms (HLT) vs. Standardised MedDRA Queries (SMQ). METHODS For a representative set of 26 drugs, data from the FDA Adverse Event Reporting System (AERS) database from 2001 through 2005 was mined for signals of disproportionate reporting (SDRs) using three different data mining algorithms (DMAs): the Gamma Poisson… CONTINUE READING

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