ReviewAmerican journal of clinical dermatology2025
Advancing Precision Medicine in Inflammatory Skin Disease.
Review in American journal of clinical dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Skin Barrier-Informed Topical and Transdermal Drug Delivery: Excipient-Driven Strategies, Vehicle Transformation, and Translational Challenges.Pharmaceutics · 2026Review
- Epithelial-Dermal Immune Memory: TrackingInternational journal of molecular sciences · 2026Review
- Comment on "Safety and Efficacy of Micronized Acellular Dermal Matrix Injection for Correction of Moderate to Severe Nasolabial Folds: A Double-Blind, Multicenter, Randomized Controlled, Non-inferior Clinical Trial".Aesthetic plastic surgery · 2026Article
- Epigenetic Therapies for Inflammatory and Immune-Mediated Skin Diseases.Biomedicines · 2026Review
- The Neuroimmune Axis in Atopic Dermatitis: From Pathogenic Mechanisms to Targeted Neuroimmunotherapy.Journal of inflammation research · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The growing availability of targeted immunomodulatory therapies has transformed the treatment landscape for chronic inflammatory skin diseases. However, treatment selection remains largely empirical, often guided more by trial-and-error and insurance mandates than by an individual patient's underlying disease biology. This disconnect between therapeutic strategy and the need to address and calibrate for patient molecular heterogeneity undermines clinical outcomes and contributes to inefficiency in care delivery. Precision medicine offers a solution by tailoring diagnosis and treatment to the molecular and cellular features of each patient's skin disease. In this Current Opinion, we outline key clinical contexts where precision approaches can be transformative: diagnostic ambiguity, selecting treatments for an established diagnosis, and selecting treatments without a defined diagnosis or disease mechanism. We highlight advances in precision techniques such as single-cell RNA sequencing and spatial transcriptomics that enable more refined skin disease classification and accurate prediction of drug response. Although several challenges remain before these techniques can be widely adopted, such as limited biomarker validation, high costs, and a lack of breadth in research cohorts, we argue that their potential benefits, for patients, clinicians, and the broader field of dermatologic care, substantially outweigh the associated costs. We advocate for expanded funding, population-based research, and scalable diagnostics to successfully integrate precision medicine into dermatology. By combining molecular phenotyping with traditional clinicopathologic diagnosis, precision medicine can reduce therapeutic inefficiency, improve patient outcomes, and redefine care paradigms in chronic inflammatory skin disease.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.