Evidence map›Paper›PMID 40349264›Full record

ArticleDermatology and therapy2025

Clinical Utility Findings of a Transcriptomic Psoriasis Biologic Test Demonstrate Altered Physician Prescribing Behavior and Improved Patient Outcomes.

Bruce E Strober, Michael Bukhalo, April W Armstrong, David Pariser, Leon Kircik, Brian Johnson, Paul Montgomery, Tobin J Dickerson

Registry-linked trialAbstract read
In one paragraph

Article in Dermatology and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05036889 (A 16-week Randomized Evaluation of the Impact of Mind.Px Application on Response to Biologic Treatment in Patients Suffering From Plaque Psoriasis Through Clinical Utility and Health Outcomes.), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT05036889 naunknown statusnot on this map

A 16-week Randomized Evaluation of the Impact of Mind.Px Application on Response to Biologic Treatment in Patients Suffering From Plaque Psoriasis Through Clinical Utility and Health Outcomes.

TypeinterventionalSponsorMindera HealthRan2021 to 2022Enrolled200ConditionsPlaque PsoriasisArmsMind.Px Report
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Bruce E StroberYale University School of Medicine, New Haven, CT, USA. brucestrober30@me.com.ORCID http://orcid.org/0000-0002-8394-2057
Michael BukhaloArlington Dermatology, Rolling Meadows, IL, USA.
April W ArmstrongDepartment of Dermatology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
David PariserEastern Virginia Medical School and Virginia Clinical Research, Inc., Norfolk, VA, USA.
Leon KircikIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Brian JohnsonVirginia Dermatology and Skin Cancer Center, Norfolk, VA, USA.
Paul MontgomeryMindera Health, Vista, CA, USA.
Tobin J DickersonMindera Health, Vista, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis randomized, prospective study (MATCH) was designed to assess the clinical utility of a machine learning-based tool (Mind.Px) that predicts patient response to the biologic drug classes used in the management of psoriasis.

methodsPatients with psoriasis who were biologic naïve or approaching a medication change owing to nonresponse were enrolled into the study (N = 210). At baseline, a dermal biomarker patch was applied to lesional skin, and Mind.Px test results were provided to physicians for patients in the informed arm of the study prior to biologic selection. The choice of biologic was recorded, and, in the case of physician nonconcordance with Mind.Px test results, a questionnaire was completed to determine the reason for nonconcordance. Patients were evaluated at weeks 4 and 12 after baseline using Psoriasis Area and Severity Index (PASI). Statistical analysis between groups was performed using Fisher's exact test.

resultsPhysician prescribing behavior was measured with and without the inclusion of Mind.Px test results in the decision-making process (N = 205). Additional comparisons were made to a previously collected data set identical to the Mind.Px-uninformed arm (N = 429). Statistical analysis of concordance between the Mind.Px-informed and Mind.Px-uninformed groups (92.3% versus 62.9%, respectively) showed that when given access to Mind.Px results, physician behavior was significantly altered (p = 8.08 × 10

conclusionsThese results provide evidence of the clinical utility of Mind.Px by showing that physicians utilize test results in psoriasis biologic decision-making, leading to improved patient outcomes. These improved patient outcomes can also potentially translate into cost savings for healthcare systems. Mind.Px can minimize the trial-and-error approach to psoriasis treatment, and provide physicians, patients, and payers with an effective tool for re-envisioning the management of patients with psoriasis. CLINICALTRIALS: GOV LISTING: NCT05036889.

Indexed as

BiologicsBiomarkersClinical utilityMachine learningPsoriasisTranscriptomics

Identifiers

PMID40349264
PMCPMC12126387

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Registered trials

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.