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Record W4416141136 · doi:10.25251/9k281951

Tapinarof Cream 1% Once Daily: Consistent Efficacy Across Age Groups for Children Down to 2 Years of Age with Atopic Dermatitis in Two Pivotal Phase 3 Trials

2025· article· W4416141136 on OpenAlexaff
Luz Fonacier, Mark Boguniewicz, Jason Ohayon, Philip M. Brown, David S. Rubenstein, Anna M. Tallman, Jonathan I. Silverberg

Bibliographic record

VenueSKIN The Journal of Cutaneous Medicine · 2025
Typearticle
Language
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAtopic dermatitisAge groupsOxidative stressAryl hydrocarbon receptorAgonistClinical trialPsoriasis

Abstract

fetched live from OpenAlex

- Tapinarof (VTAMA®, Dermavant Sciences, an Organon Company) is a non-steroidal, topical aryl hydrocarbon receptor (AhR) agonist approved by the FDA for the treatment of atopic dermatitis (AD) in adults and children down to 2 years of age, and for the treatment of plaque psoriasis in adults, with no warnings, contraindications, drug–drug interactions, or restrictions on duration, location, or extent of use1- Tapinarof cream is cosmetically elegant, easily applied, quickly absorbed, and not greasy or sticky2- Tapinarof binds to and activates AhR to restore the skin barrier by upregulating key barrier components, downregulating pro-inflammatory cytokines associated with AD, and reducing oxidative stress (Figure 1)3- In ADORING 1 and 2, two pivotal phase 3, randomized, double-blind, vehicle-controlled trials, tapinarof cream 1% once daily (QD) demonstrated statistically significant efficacy and was well tolerated in adults and children down to 2 years of age with AD4

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.361
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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