Individual Case Safety Reports network exploration

Vigilace

Vigilace is a software for the analysis of network characteristics of Individual Case Safety Reports (ICSR) in pharmacovigilance. Based on the interest many type of networks can be generated which can highlight different aspects of the underlying correlations.

To perform ICSR network analysis please signup and request access that is optimal for your purposes.

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Paper published on the development and validation of the Vigilace software

Our team published a scientific article on the development and in silico validation of the Vigilace software:

  1. Pétervári M, Benczik B, Balogh OM, Petrovich B, Ágg B, Ferdinandy P.
    Network Analysis for Signal Detection in Spontaneous Adverse Event Reporting Database: Application of Network Weighting Normalization to Characterize Cardiovascular Drug Safety.
    Drug Saf. 2022 Nov;45(11):1423-1438.

Developed by

Vigilace was developed in the collaboration of the Pharmahungary Group and the Department of Pharmacology and Pharmacotherapy, Semmelweis University.

Supported by

This study was supported by the National Research, Development and Innovation Office of Hungary (NKFIA; National Heart Program NVKP-16-1-2016-0017). The research was financed by the Thematic Excellence Programme (2020-4.1.1.-TKP2020) of the Ministry for Innovation and Technology in Hungary, within the framework of the Therapeutic Development and Bioimaging thematic programmes of the Semmelweis University. Project no. RRF-2.3.1-21-2022-00003 has been implemented with the support provided by the European Union.

Contact

If you need technical support please contact
businessdevelopment@pharmahungary.com.

Terms and Conditions

Please read Terms and Conditions of the Vigilace service.

Vigilace features

Aims

  • to characterize networks built from unique sets of ICSRs
  • help to assessors identify connections within received ICSRs

Advantages

  • EudraVigilance access level 2A, or FAERS data can be used
  • Different edge weighting methods
  • Customizable run parameters
  • Output files can be used in later stages depending on the needs

Recommended for

  • academic research (free of charge for reasonable use)
  • pharmaceutical industry
This study was supported by the National Research, Development and Innovation Office of Hungary (NKFIA; National Heart Program NVKP-16-1-2016-0017). The research was financed by the Thematic Excellence Programme (2020-4.1.1.-TKP2020) of the Ministry for Innovation and Technology in Hungary, within the framework of the Therapeutic Development and Bioimaging thematic programmes of the Semmelweis University. Project no. RRF-2.3.1-21-2022-00003 has been implemented with the support provided by the European Union.
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