Evidence map›Paper›PMID 35266087›Full record

ArticlePharmaceutical research2022

Predicting Viable Skin Concentration: Modelling the Subpapillary Plexus.

Joshua J Calcutt, Michael S Roberts, Yuri G Anissimov

Open access · hybridAbstract read
In one paragraph

Article in Pharmaceutical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Joshua J CalcuttSchool of Environment and Science, Griffith University, Gold Coast, Queensland, 4222, Australia.
Michael S RobertsUniversity of South Australia, Clinical Health Sciences and Basil Hetzel Institute for Translational Health Research, Adelaide, 5011, Australia.
Yuri G AnissimovSchool of Environment and Science, Griffith University, Gold Coast, Queensland, 4222, Australia. y.anissimov@griffith.edu.au.ORCID http://orcid.org/0000-0002-1124-5826
Griffith University · AUThe University of Queensland · AU

Funding

Formulation drug product quality attributes in dermal physiologically-based pharmacokinetic models for topical dermatological drug products and transdermal delivery systemsU01FD006522 · FDA · UNIVERSITY OF QUEENSLAND · PI ROBERTS, MICHAEL · 2018 to 2019
$500k
FDA HHS U01 FD006522
6 · The paper itself

Abstract

The skin concentration of a substance after a topical application or exposure determines both local treatment outcomes and the dermal toxicity assessment of various products. However, quantifying the time course of those concentrations at skin effect sites, such as the viable epidermal, superficial dermis and appendages in humans is especially problematic in vivo, making physiologically based mathematical modelling an essential tool to meet this need. This work further develops our published physiologically based pharmacokinetic and COMSOL based dermal transport modelling by considering the impact of the superficial subpapillary dermal plexus, which we represent as two well stirred compartments. The work also studied the impact on dermal concentrations of subpapillary plexus size, depth, blood velocity and density of subpapillary plexus vessels. Sensitivity analyses are used to define the most important transport determinants of skin concentrations after topical application of a substance, with previously published results used to validate the resulting analyses. This resulting model describes the available experimental data better than previous models, especially at deeper dermal depths.

Indexed as

SkinSkin AbsorptionEpidermisHumansComputational modellingCOMSOLSubpapillary plexusViable skin concentration

Identifiers

PMID35266087
PMCPMC9090854
OpenAlexW4221059046

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.