ArticleEnvironmental health perspectives2020
Knowledge Organization Systems for Systematic Chemical Assessments.
Article in Environmental health perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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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.
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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.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Weight of evidence for cross-species conservation of androgen receptor-based biological activity.Toxicological sciences : an official journal of the Society of Toxicology · 2023Pooled it
- A Systematic Review to Compare Chemical Hazard Predictions of the Zebrafish Embryotoxicity Test With Mammalian Prenatal Developmental Toxicity.Toxicological sciences : an official journal of the Society of Toxicology · 2021Pooled it
- Standardizing Extracted Data Using Automated Application of Controlled Vocabularies.Environmental health perspectives · 2024Article
- Why adverse outcome pathways need to be FAIR.ALTEX · 2024Article
- Workshop Report: Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Harmonized Language.International journal of environmental research and public health · 2023Article
- Application of AOPs to assist regulatory assessment of chemical risks - Case studies, needs and recommendations.Environmental research · 2023Review
- Development of a data-driven approach to Adverse Outcome Pathway network generation: a case study on the EATS-modalities.Frontiers in toxicology · 2023Article
- Environmental exposure to metals and the development of tauopathies, synucleinopathies, and TDP-43 proteinopathies: A systematic evidence map protocol.Environment international · 2022Article
- The ECOTOXicology Knowledgebase: A Curated Database of Ecologically Relevant Toxicity Tests to Support Environmental Research and Risk Assessment.Environmental toxicology and chemistry · 2022Article
- Biological plausibility in environmental health systematic reviews: a GRADE concept paper.Environment international · 2022Article
- Access to Healthcare during COVID-19.International journal of environmental research and public health · 2021Article
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough the implementation of systematic review and evidence mapping methods stands to improve the transparency and accuracy of chemical assessments, they also accentuate the challenges that assessors face in ensuring they have located and included all the evidence that is relevant to evaluating the potential health effects an exposure might be causing. This challenge of information retrieval can be characterized in terms of "semantic" and "conceptual" factors that render chemical assessments vulnerable to the streetlight effect.
objectivesThis commentary presents how controlled vocabularies, thesauruses, and ontologies contribute to overcoming the streetlight effect in information retrieval, making up the key components of Knowledge Organization Systems (KOSs) that enable more systematic access to assessment-relevant information than is currently achievable. The concept of Adverse Outcome Pathways is used to illustrate what a general KOS for use in chemical assessment could look like. DISCUSSION: Ontologies are an underexploited element of effective knowledge organization in the environmental health sciences. Agreeing on and implementing ontologies in chemical assessment is a complex but tractable process with four fundamental steps. Successful implementation of ontologies would not only make currently fragmented information about health risks from chemical exposures vastly more accessible, it could ultimately enable computational methods for chemical assessment that can take advantage of the full richness of data described in natural language in primary studies. https://doi.org/10.1289/EHP6994.
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