Evidence map›Paper›PMID 35238606›Full record

ArticleEnvironmental health perspectives2022

Integrating Selection and Risk Assessment of Chemical Mixtures: A Novel Approach Applied to a Breast Milk Survey.

Amélie Crépet, Paule Vasseur, Julien Jean, Pierre-Marie Badot, Fabrice Nesslany, Jean-Paul Vernoux, Cyril Feidt, Sakina Mhaouty-Kodja

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
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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

8 authors at 5 institutions in 1 country.

Amélie CrépetMethodology and Studies Unit, Risk Assessment Department, French Agency for Food, Environmental and Occupational Health and Safety, Maisons-Alfort, France.
Paule VasseurUniversité de Lorraine, Centre national de la recherche scientifique (CNRS), Laboratoire Interdisciplinaire des Environnements Continentaux, Metz, France.
Julien JeanMethodology and Studies Unit, Risk Assessment Department, French Agency for Food, Environmental and Occupational Health and Safety, Maisons-Alfort, France.
Pierre-Marie BadotChrono-Environment Department, Franche-Comté University, CNRS, Besançon, France.
Fabrice NesslanyUniversité de Lille, Centre Hospitalier Universitaire de Lille, Institut Pasteur de Lille, EA4483-IMPacts de l'Environnement Chimique sur la Santé Humaine, Lille, France.
Jean-Paul VernouxUniversité de Caen Normandie, Unité de Recherche Aliments Bioprocédés Toxicologie Environnements, EA4651, Caen, France.
Cyril FeidtUniversité de Lorraine, Unité de Recherche Animal et Fonctionnalités des Produits Animaux, Nancy, France.
Sakina Mhaouty-KodjaSorbonne Université, CNRS, Institut national de la santé et de la recherche médicale, Neuroscience Paris Seine-Institut de Biologie Paris Seine, Paris, France.
Centre National de la Recherche Scientifique · FRAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail · FRAliments Bioprocédés Toxicologie EnvironnementsLaboratoire Animal et Agroécosystèmes · FRUniversité de Lille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the main challenges of modern risk assessment is to account for combined exposure to the multitude of various substances present in food and the environment.

objectiveThe present work proposes a methodological approach to perform chemical risk assessment of contaminant mixtures across regulatory silos regarding an extensive range of substances and to do so when comprehensive relevant data concerning the specific effects and modes of action of the mixture components are not available.

methodsWe developed a complete step-by-step approach using statistical methods to prioritize substances involved in combined exposure, and we used a component-based approach to cumulate the risk using dose additivity. The most relevant toxicological end point and the associated reference point were selected from the literature to construct a toxicological threshold for each substance. DISCUSSION: By applying the proposed method to contaminants in breast milk, we observed that among the 19 substances comprising the selected mixture,

Indexed as

Milk, HumanHumansRisk Assessment

Identifiers

PMID35238606
PMCPMC8893236
OpenAlexW4214931204

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.