ArticleContemporary clinical trials2008
Heterogeneous but "standard" coding systems for adverse events: Issues in achieving interoperability between apples and oranges.
Article in Contemporary clinical trials, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Adverse events in bedaquiline- and pretomanid-based regimens for drug-resistant tuberculosis from trial, implementation and pharmacovigilance studies.British journal of clinical pharmacology · 2026Pooled it
- A multidimensional hierarchical framework for sources of bias in real-world healthcare evidence: a scoping review.Journal of biomedical informatics · 2026Article
- Knowledge-guided generative artificial intelligence for automated taxonomy learning from drug labels.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Characterization of adverse events in injured patients at risk of hemorrhagic shock: a secondary analysis of three harmonized prehospital randomized clinical trials.Trauma surgery & acute care open · 2024Article
- Pilot randomized controlled trial of restricted versus liberal crystalloid fluid management in pediatric post-operative and trauma patients.Pilot and feasibility studies · 2023Article
- Comparative Safety Profiles of Oncology Biosimilars vs. Originators in Europe: An Analysis of the EudraVigilance Database.Cancers · 2023Article
- Challenges in Using a Graph Database to Represent and Analyze Mappings of Cancer Study Data Standards.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Using an artificial neural network to map cancer common data elements to the biomedical research integrated domain group model in a semi-automated manner.BMC medical informatics and decision making · 2019Article
- Semantic Queries Expedite MedDRA Terms Selection Thanks to a Dedicated User Interface: A Pilot Study on Five Medical Conditions.Frontiers in pharmacology · 2019Article
- Extended Analysis of Topological-Pattern-Based Ontology Enrichment.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2018Article
- The Use of Automated SNOMED CT Clinical Coding in Clinical Decision Support Systems for Preventive Care.Perspectives in health information managemen · 2017Review
- A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization.Artificial intelligence in medicine · 2015Article
- ADReCS: an ontology database for aiding standardization and hierarchical classification of adverse drug reaction terms.Nucleic acids research · 2015Article
- Determining correspondences between high-frequency MedDRA concepts and SNOMED: a case study.BMC medical informatics and decision making · 2010Article
- Achieving standardized medication data in clinical research studies: two approaches and applications for implementing RxNorm.Journal of medical systems · 2010Article
- Automated summaries of serious adverse events in the hepatitis C antiviral long-term treatment against cirrhosis trial.Clinical trials (London, England) · 2009Article
- Using SNOMED CT in combination with MedDRA for reporting signal detection and adverse drug reactions reporting.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2009Article
- An automated standardized system for managing adverse events in clinical research networks.Drug safety · 2008Review
- Drug safety surveillance using de-identified EMR and claims data: issues and challenges.Journal of the American Medical Informatics Association : JAMIAArticle
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.