Adjustment for day-to-day variability in the estimation of effective concentrations for the assessment of mixture toxicity.

Franziska Kappenberg, Tim Brecklinghaus, Leonie Schürmeyer, Wiebke Albrecht, Kirsten Schorning, Jan G Hengstler, Jörg Rahnenführer

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Article in Archives of toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Franziska KappenbergDepartment of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227, Dortmund, Germany. kappenberg@statistik.tu-dortmund.de.ORCID 0000-0001-8066-5333

Tim BrecklinghausDepartment of Toxicology, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystr. 67, Dortmund, 44139, Germany.

Leonie SchürmeyerDepartment of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227, Dortmund, Germany.

Wiebke AlbrechtDepartment of Toxicology, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystr. 67, Dortmund, 44139, Germany.

Kirsten SchorningDepartment of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227, Dortmund, Germany.

Jan G HengstlerDepartment of Toxicology, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystr. 67, Dortmund, 44139, Germany.

Jörg RahnenführerDepartment of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227, Dortmund, Germany.

Funding

Deutsche Forschungsgemeinschaft 427806116

6 · The paper itself

Abstract

Humans are exposed to a multitude of substances at the same time; thus, toxicity assessment for mixtures of several substances and not only for the individual substances is critical. An important challenge in testing the mixture effects of many substances in vitro is the variability between individual experiments, also named 'day-to-day variability'. Two steps, each consisting of independent experiments, are needed when mixtures are tested. In the first experimental step, for each substance, the concentration-response relationship is usually measured with 6-10 concentrations for at least 3 experiments, and EC

Indexed as

Complex MixturesToxicity TestsCell SurvivalDose-Response Relationship, DrugHumansTime FactorsComplex MixturesAdditivityConcentration–responseDay-to-day variabilityInteractionMixture toxicitySynergism

Identifiers

PMID40830257

DOI10.1007/s00204-025-04141-w

PMCPMC12477094

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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.