ArticleNAM journal2025
Advancing quantitative hazard banding using expanded probabilistic reference doses and high-throughput screening data for preliminary hazard assessment.
Article in NAM journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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Authors and funding
2 authors.
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Abstract
Data unavailability in health reference values poses a significant challenge in chemical risk assessment. Hazard banding (HB) offers a practical solution by categorizing chemicals into bands that represent increasing levels of health hazard. However, the strength and validity of these bands are often based on health-based guidance values from small sample sizes due to data scarcity. This study aims to develop quantitative hazard bandings using an expanded dataset of probabilistic reference dose values (pRfD) and endocrine-related quantitative high-throughput screening (qHTS) data. We hypothesize that quantitative hazard bandings can accurately reflect chemical hazards' nature and severity. pRfD values (
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