Literature DB >> 18406213

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

Rachel L Richesson1, Kin Wah Fung, Jeffrey P Krischer.   

Abstract

Monitoring adverse events (AEs) is an important part of clinical research and a crucial target for data standards. The representation of adverse events themselves requires the use of controlled vocabularies with thousands of needed clinical concepts. Several data standards for adverse events currently exist, each with a strong user base. The structure and features of these current adverse event data standards (including terminologies and classifications) are different, so comparisons and evaluations are not straightforward, nor are strategies for their harmonization. Three different data standards - the Medical Dictionary for Regulatory Activities (MedDRA) and the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) terminologies, and Common Terminology Criteria for Adverse Events (CTCAE) classification - are explored as candidate representations for AEs. This paper describes the structural features of each coding system, their content and relationship to the Unified Medical Language System (UMLS), and unsettled issues for future interoperability of these standards.

Entities:  

Mesh:

Year:  2008        PMID: 18406213      PMCID: PMC2575842          DOI: 10.1016/j.cct.2008.02.004

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  17 in total

Review 1.  The medical dictionary for regulatory activities (MedDRA).

Authors:  E G Brown; L Wood; S Wood
Journal:  Drug Saf       Date:  1999-02       Impact factor: 5.606

2.  AMIA advocates national health information system in fight against national health threats.

Authors:  Paul C Tang
Journal:  J Am Med Inform Assoc       Date:  2002 Mar-Apr       Impact factor: 4.497

3.  The need for adverse effects reporting standards in oncology clinical trials.

Authors:  Andy Trotti; Soren M Bentzen
Journal:  J Clin Oncol       Date:  2003-12-02       Impact factor: 44.544

4.  SNOMED CT milestones: endorsements are added to already-impressive standards credentials.

Authors:  Kent A Spackman
Journal:  Healthc Inform       Date:  2004-09

5.  Data standards in clinical research: gaps, overlaps, challenges and future directions.

Authors:  Rachel L Richesson; Jeffrey Krischer
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

6.  Compositional concept representation using SNOMED: towards further convergence of clinical terminologies.

Authors:  K A Spackman; K E Campbell
Journal:  Proc AMIA Symp       Date:  1998

Review 7.  Desiderata for controlled medical vocabularies in the twenty-first century.

Authors:  J J Cimino
Journal:  Methods Inf Med       Date:  1998-11       Impact factor: 2.176

8.  Evaluation of the Unified Medical Language System as a medical knowledge source.

Authors:  O Bodenreider; A Burgun; G Botti; M Fieschi; P Le Beux; F Kohler
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

9.  SNOMED RT: a reference terminology for health care.

Authors:  K A Spackman; K E Campbell; R A Côté
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

Review 10.  Review paper: coding systems in health care.

Authors:  J J Cimino
Journal:  Methods Inf Med       Date:  1996-12       Impact factor: 2.176

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  12 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.  Drug safety surveillance using de-identified EMR and claims data: issues and challenges.

Authors:  Prakash M Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

Review 3.  An automated standardized system for managing adverse events in clinical research networks.

Authors:  Rachel L Richesson; Jamie F Malloy; Kathleen Paulus; David Cuthbertson; Jeffrey P Krischer
Journal:  Drug Saf       Date:  2008       Impact factor: 5.606

4.  A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization.

Authors:  Zhe He; James Geller; Yan Chen
Journal:  Artif Intell Med       Date:  2015-04-02       Impact factor: 5.326

Review 5.  The Use of Automated SNOMED CT Clinical Coding in Clinical Decision Support Systems for Preventive Care.

Authors:  Bader Al-Hablani
Journal:  Perspect Health Inf Manag       Date:  2017-01-01

6.  Extended Analysis of Topological-Pattern-Based Ontology Enrichment.

Authors:  Zhe He; Vipina Kuttichi Keloth; Yan Chen; James Geller
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2019-01-24

Review 7.  Benefit-risk assessment and reporting in clinical trials of chronic pain treatments: IMMPACT recommendations.

Authors:  Bethea A Kleykamp; Robert H Dworkin; Dennis C Turk; Zubin Bhagwagar; Penney Cowan; Christopher Eccleston; Susan S Ellenberg; Scott R Evans; John T Farrar; Roy L Freeman; Louis P Garrison; Jennifer S Gewandter; Veeraindar Goli; Smriti Iyengar; Alejandro R Jadad; Mark P Jensen; Roderick Junor; Nathaniel P Katz; J Patrick Kesslak; Ernest A Kopecky; Dmitri Lissin; John D Markman; Michael P McDermott; Philip J Mease; Alec B O'Connor; Kushang V Patel; Srinivasa N Raja; Michael C Rowbotham; Cristina Sampaio; Jasvinder A Singh; Ilona Steigerwald; Vibeke Strand; Leslie A Tive; Jeffrey Tobias; Ajay D Wasan; Hilary D Wilson
Journal:  Pain       Date:  2021-09-09       Impact factor: 7.926

8.  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

9.  Automated summaries of serious adverse events in the hepatitis C antiviral long-term treatment against cirrhosis trial.

Authors:  Margaret C Bell; Patricia R Robuck; Elizabeth C Wright; Marina S Mihova; Charlotte Hofmann; Jennifer L De Santo; Susan L Milstein; Pamela A Richtmyer; Janel L Shelton; Maureen Cormier; Debra L King; Choon J Park; Wallis A Molchen; Yoon Park; Michelle Kelley
Journal:  Clin Trials       Date:  2009-11-04       Impact factor: 2.486

10.  Achieving standardized medication data in clinical research studies: two approaches and applications for implementing RxNorm.

Authors:  Rachel L Richesson; Susan B Smith; Jamie Malloy; Jeffrey P Krischer
Journal:  J Med Syst       Date:  2009-04-03       Impact factor: 4.920

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