Evidence map›Paper›PMID 38774343›Full record

ArticleJAAD international2024

Improving systemic therapy selection for inflammatory skin diseases: A clinical need survey.

Nicholas D Brownstone, Aaron S Farberg, Graham H Litchman, Ann P Quick, Jennifer J Siegel, Lenka V Hurton, Matthew S Goldberg, Peter A Lio

Abstract read
In one paragraph

Article in JAAD international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Exploring the Link Between Atopic Dermatitis and Eosinophilic Esophagitis.The Journal of clinical and aesthetic dermatology · 2025
    Review
  3. 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.

Nicholas D BrownstoneDepartment of Dermatology, Temple University Hospital, Philadelphia, Pennsylvania.
Aaron S FarbergBaylor Scott & White Health System, Dallas, Texas.
Graham H LitchmanVivida Dermatology, Las Vegas, Nevada.
Ann P QuickCastle Biosciences, Inc, Friendswood, Texas.
Jennifer J SiegelCastle Biosciences, Inc, Friendswood, Texas.
Lenka V HurtonCastle Biosciences, Inc, Friendswood, Texas.
Matthew S GoldbergCastle Biosciences, Inc, Friendswood, Texas.
Peter A LioDepartment of Dermatology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Empirical decisions to select therapies for psoriasis (PSO) and atopic dermatitis (AD) can lead to delays in disease control and increased health care costs. However, routine molecular testing for AD and PSO are lacking. Objective: To examine (1) how clinicians choose systemic therapies for patients with PSO and AD without molecular testing and (2) to determine how often the current approach leads to patients switching medications. Methods: A 20-question survey designed to assess clinician strategies for systemic treatment of AD and PSO was made available to attendees of a national dermatology conference in 2022. Results: Clinicians participating in the survey (265/414, 64% response rate) ranked "reported efficacy" as the most important factor governing treatment choice ( Limitations: To facilitate ease of recall, questions focused on systemic therapies as a whole and not individual therapies. Conclusion: Clinicians want a molecular test to help determine the most efficacious drug for individual patients.

Indexed as

atopic dermatitisbiologicsgene expression profile testinflammatory skin diseasemolecularprecision medicinepsoriasisresponse to therapysystemic therapy

Identifiers

PMID38774343
PMCPMC11107249

What OpenQuestion holds

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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.