Evidence map›Paper›PMID 35202282›Full record

ArticleToxics2022

Using Human Biomonitoring Data to Support Risk Assessment of Cosmetic Ingredients-A Case Study of Benzophenone-3.

Christophe Rousselle, Matthieu Meslin, Tamar Berman, Marjolijn Woutersen, Wieneke Bil, Jenna Wildeman, Qasim Chaudhry

Abstract read
In one paragraph

Article in Toxics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

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.

Christophe RousselleEuropean and International Affairs Department, Anses, 94701 Maisons-Alfort, France.
Matthieu MeslinRisk Assessment Department, Anses, 14 rue Pierre et Marie Curie, 94701 Maisons-Alfort, France.ORCID 0000-0001-5620-1344
Tamar BermanMinistry of Health, Jerusalem 9101002, Israel.
Marjolijn WoutersenRIVM National Institute for Public Health and the Environment, 3721 MA Bilthoven, The Netherlands.
Wieneke BilRIVM National Institute for Public Health and the Environment, 3721 MA Bilthoven, The Netherlands.
Jenna WildemanRIVM National Institute for Public Health and the Environment, 3721 MA Bilthoven, The Netherlands.
Qasim ChaudhryDepartment of Clinical Sciences and Nutrition, University of Chester, Parkgate Road, Chester CH1 4BJ, UK.

Funding

European Union 733032
6 · The paper itself

Abstract

Safety assessment of UV filters for human health by the Scientific Committee on Consumer Safety (SCCS) is based on the estimation of internal dose following external (skin) application of cosmetic products, and comparison with a toxicological reference value after conversion to internal dose. Data from human biomonitoring (HBM) could be very useful in this regard, because it is based on the measurement of real-life internal exposure of the human population to a chemical. UV filters were included in the priority list of compounds to be addressed under the European Human Biomonitoring Initiative (HBM4EU), and risk assessment of benzophenone-3 (BP-3) was carried out based on HBM data. Using BP-3 as an example, this study investigated the benefits and limitations of the use of external versus internal exposure data to explore the usefulness of HBM to support the risk assessment of cosmetic ingredients. The results show that both approaches did indicate a risk to human health under certain levels of exposure. They also highlight the need for more robust exposure data on BP-3 and other cosmetic ingredients, and a standardized framework for incorporating HBM data in the risk assessment of cosmetic products.

Indexed as

benzophenone-3HBM4EUhuman biomonitoringmargin of safetyRCRrisk assessmentUV filters

Identifiers

PMID35202282
PMCPMC8877280

What OpenQuestion holds

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Registered trials

None linked

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.