ArticleToxicology research2019
Reliability and relevance evaluations of REACH data.
Article in Toxicology research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Multi-Strategy Assessment of Different Uses of QSAR under REACH Analysis of Alternatives to Advance Information Transparency.International journal of environmental research and public health · 2022Article
- Clearly weighing the evidence in read-across can improve assessments of data-poor chemicals.Regulatory toxicology and pharmacology : RTP · 2022Article
- Towards a reporting guideline for developmental and reproductive toxicology testing inToxicology research · 2021Article
- Systematic evidence maps as a novel tool to support evidence-based decision-making in chemicals policy and risk management.Environment international · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Regulatory authorities rely on hazard and risk assessments performed under REACH for identifying chemicals of concern and to take action. Therefore, these assessments must be systematic and transparent. This study investigates how registrants evaluate and report data evaluations under REACH and the procedures established by the European Chemicals Agency (ECHA) to support these data evaluations. Data on the endpoint repeated dose toxicity were retrieved from the REACH registration database for 60 substances. An analysis of these data shows that the system for registrants to evaluate data and report these evaluations is neither systematic nor transparent. First, the current framework focuses on reliability, but overlooks the equally important aspect of relevance, as well as how reliability and relevance are combined for determining the adequacy of individual studies. Reliability and relevance aspects are also confused in the ECHA guidance for read-across. Second, justifications for reliability evaluations were mainly based on studies complying with GLP and test guidelines, following the Klimisch method. This may result in GLP and guideline studies being considered reliable by default and discounting non-GLP and non-test guideline data. Third, the reported rationales for reliability were frequently vague, confusing and lacking information necessary for transparency. Fourth, insufficient documentation of a study was sometimes used as a reason for judging data unreliable. Poor reporting merely affects the possibility to evaluate reliability and should be distinguished from methodological deficiencies. Consequently, ECHA is urged to improve the procedures and guidance for registrants to evaluate data under REACH to achieve systematic and transparent risk assessments.
Identifiers
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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.