ArticleClinical, cosmetic and investigational dermatology2026
Intelligent Diagnosis and Treatment of Psoriasis Research: A Bibliometric Analysis from 2005-01-01 to 2025-12-31.
Article in Clinical, cosmetic and investigational dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Psoriasis is a chronic inflammatory disease induced by genetic, immune and environmental interactions. The central mechanism is the aberrant activation of the Th17/IL-23 pathway, which leads to uncontrolled proliferation of keratinocytes and systemic inflammation. Psoriasis affects about 1-3% of the global population, with 70-90% of patients suffering from moderate to severe itching of the skin, 50% of patients suffering from thickening or loss of nails, and even 30% of patients suffering from a combination of arthropathy, and 59.1% of patients suffering from a psychological burden due to social discrimination, which greatly reduces the quality of life. Moreover, there has been no bibliometric analysis of studies on smart diagnosis and treatment of psoriasis, and it is hoped that this study will contribute to the development of smart diagnosis and treatment. Objective: By integrating cutting-edge research trends into intelligent diagnostic and therapeutic systems, advancing precision diagnosis and personalized treatment for psoriasis. Methods: Retrieve literature related to intelligent diagnosis and treatment of psoriasis from the Web of Science Core Collection (WoSCC), The search period spans from January 1, 2005, to December 31, 2025. VOSviewer 1.6.20 and CiteSpace 6.4.1 software were employed to analyze co-cited literature, keywords, research trends, and international collaboration patterns. Discussion: With the help of intelligent image recognition, multimodal data fusion to carry out intelligent diagnosis and treatment, to promote the development of precision medicine, reduce medical costs, and achieve the purpose of improving long-term management, the technology can be further expanded to atopic dermatitis, eczema, etc, to further improve the quality of life of patients, and is expected to become a new model of dermatology diagnosis and treatment.
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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.