Literature DB >> 17108616

Mapping of the WHO-ART terminology on Snomed CT to improve grouping of related adverse drug reactions.

Iulian Alecu1, Cedric Bousquet, Fleur Mougin, Marie-Christine Jaulent.   

Abstract

The WHO-ART and MedDRA terminologies used for coding adverse drug reactions (ADR) do not provide formal definitions of terms. In order to improve groupings, we propose to map ADR terms to equivalent Snomed CT concepts through UMLS Metathesaurus. We performed such mappings on WHO-ART terms and can automatically classify them using a description logic definition expressing their synonymies. Our gold standard was a set of 13 MedDRA special search categories restricted to ADR terms available in WHO-ART. The overlapping of the groupings within the new structure of WHO-ART on the manually built MedDRA search categories showed a 71% success rate. We plan to improve our method in order to retrieve associative relations between WHO-ART terms.

Mesh:

Year:  2006        PMID: 17108616

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  7 in total

1.  Using SNOMED CT in combination with MedDRA for reporting signal detection and adverse drug reactions reporting.

Authors:  Olivier Bodenreider
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

2.  Heterogeneous but "standard" coding systems for adverse events: Issues in achieving interoperability between apples and oranges.

Authors:  Rachel L Richesson; Kin Wah Fung; Jeffrey P Krischer
Journal:  Contemp Clin Trials       Date:  2008-03-05       Impact factor: 2.226

3.  Semantic categories and relations for modelling adverse drug reactions towards a categorial structure for pharmacovigilance.

Authors:  Cédric Bousquet; Béatrice Trombert; Anand Kumar; Jean-Marie Rodrigues
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

4.  Determining correspondences between high-frequency MedDRA concepts and SNOMED: a case study.

Authors:  Prakash M Nadkarni; Jonathan D Darer
Journal:  BMC Med Inform Decis Mak       Date:  2010-10-28       Impact factor: 2.796

5.  A case report: using SNOMED CT for grouping Adverse Drug Reactions Terms.

Authors:  Iulian Alecu; Cedric Bousquet; Marie-Christine Jaulent
Journal:  BMC Med Inform Decis Mak       Date:  2008-10-27       Impact factor: 2.796

6.  Signal Detection of Imipenem Compared to Other Drugs from Korea Adverse Event Reporting System Database.

Authors:  Kyounghoon Park; Mick Soukavong; Jungmee Kim; Kyoung Eun Kwon; Xue Mei Jin; Joongyub Lee; Bo Ram Yang; Byung Joo Park
Journal:  Yonsei Med J       Date:  2017-05       Impact factor: 2.759

7.  Broad-Spectrum Profiling of Drug Safety via Learning Complex Network.

Authors:  Ke Liu; Ruo-Fan Ding; Han Xu; Yang-Mei Qin; Qiu-Shun He; Fei Du; Yun Zhang; Li-Xia Yao; Pan You; Yan-Ping Xiang; Zhi-Liang Ji
Journal:  Clin Pharmacol Ther       Date:  2020-02-28       Impact factor: 6.875

  7 in total

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