Evidence map›Paper›PMID 39132449›Full record

ReviewPsoriasis (Auckland, N.Z.)2024

Commercial Diagnostics and Emerging Precision Medicine Technologies in Psoriasis and Atopic Dermatitis.

Kathryn Haran, Allison Kranyak, Chandler E Johnson, Payton Smith, Aaron S Farberg, Tina Bhutani, Wilson Liao

Abstract readReview
In one paragraph

Review in Psoriasis (Auckland, N.Z.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

2 citing papers in PubMed.

  1. Review
  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

7 authors.

Kathryn Haran *Department of Dermatology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-8166-4826
Allison Kranyak *Department of Dermatology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0003-0017-138X
Chandler E JohnsonInstitute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.
Payton SmithInstitute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-6505-9773
Aaron S FarbergBaylor Scott & White Health System, Dallas, TX, USA.
Tina BhutaniDepartment of Dermatology, University of California San Francisco, San Francisco, CA, USA.
Wilson LiaoDepartment of Dermatology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-7883-6439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While psoriasis and atopic dermatitis (AD) are two common dermatological conditions, their diagnosis and therapeutic decision-making pathways are often complex. As a result, there has been increased focus on the development of precision medicine approaches for psoriasis and AD. Two companies at the forefront of dermatology precision medicine research are Mindera Health and Castle Biosciences. Here, we review the technologies developed by these two companies using a dermal diagnostic patch and superficial skin scrapings, respectively, their research published to date, and their future research goals. Research from both companies shows promise in predicting the response of inflammatory skin disease to biologics using minimally invasive techniques. However, challenges to adoption include insurance coverage and patient trust in the technologies. While there are several differences between Mindera Health and Castle Biosciences, they have a shared goal of utilizing minimally invasive technologies to sample skin and predict response to biologic treatments using a panel of optimized biomarkers.

Indexed as

diagnosisgeneticsmachine learningtechnology

Identifiers

PMID39132449
PMCPMC11314430

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.