Evidence map›Paper›PMID 38383523›Full record

SynthesisScientific data2024

An update of skin permeability data based on a systematic review of recent research.

Lisa Chedik, Shamkhal Baybekov, Frédéric Cosnier, Gilles Marcou, Alexandre Varnek, Catherine Champmartin

Abstract readSystematic Review
In one paragraph

Synthesis in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Optimizing Pediatric Drug Therapy: Pediatric Pharmacokinetics and Administration Routes.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026
    Article
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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

6 authors.

Lisa ChedikInstitut national de recherche et de sécurité pour la prévention des accidents du travail et des maladies professionnelles (INRS), Dept Toxicologie et Biométrologie, 1 rue du Morvan, 54519, Vandoeuvre-lès-Nancy, France. lisa.chedik@inrs.fr.ORCID 0000-0002-7790-9197
Shamkhal BaybekovLaboratoire de Chémoinformatique UMR 7140 CNRS, Institut Le Bel, University of Strasbourg, 4 Rue Blaise Pascal, 67081, Strasbourg, France.
Frédéric CosnierInstitut national de recherche et de sécurité pour la prévention des accidents du travail et des maladies professionnelles (INRS), Dept Toxicologie et Biométrologie, 1 rue du Morvan, 54519, Vandoeuvre-lès-Nancy, France.
Gilles MarcouLaboratoire de Chémoinformatique UMR 7140 CNRS, Institut Le Bel, University of Strasbourg, 4 Rue Blaise Pascal, 67081, Strasbourg, France.ORCID 0000-0003-1676-6708
Alexandre VarnekLaboratoire de Chémoinformatique UMR 7140 CNRS, Institut Le Bel, University of Strasbourg, 4 Rue Blaise Pascal, 67081, Strasbourg, France.ORCID 0000-0003-1886-925X
Catherine ChampmartinInstitut national de recherche et de sécurité pour la prévention des accidents du travail et des maladies professionnelles (INRS), Dept Toxicologie et Biométrologie, 1 rue du Morvan, 54519, Vandoeuvre-lès-Nancy, France.ORCID 0009-0004-7331-3670

Funding

Agence Nationale de la Recherche (French National Research Agency) CSC-IGS ANR-17-EURE-0016
6 · The paper itself

Abstract

The cutaneous absorption parameters of xenobiotics are crucial for the development of drugs and cosmetics, as well as for assessing environmental and occupational chemical risks. Despite the great variability in the design of experimental conditions due to uncertain international guidelines, datasets like HuskinDB have been created to report skin absorption endpoints. This review updates available skin permeability data by rigorously compiling research published between 2012 and 2021. Inclusion and exclusion criteria have been selected to build the most harmonized and reusable dataset possible. The Generative Topographic Mapping method was applied to the present dataset and compared to HuskinDB to monitor the progress in skin permeability research and locate chemotypes of particular concern. The open-source dataset (SkinPiX) includes steady-state flux, maximum flux, lag time and permeability coefficient results for the substances tested, as well as relevant information on experimental parameters that can impact the data. It can be used to extract subsets of data for comparisons and to build predictive models.

Indexed as

SkinSkin AbsorptionXenobioticsDatasets as TopicHumansPermeabilityXenobiotics

Identifiers

PMID38383523
PMCPMC10881585

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.