ArticleJournal of cosmetic dermatology2026
Risk Factor Analysis Based on Disease Severity: Rosacea Disease Management Strategies and Personalized Recommendations.
Article in Journal of cosmetic dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Risk Factor Analysis Based on Disease Severity: Rosacea Disease Management Strategies and Personalized Recommendations.Journal of cosmetic dermatology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundRosacea is a common chronic inflammatory skin disease with complex causes and varied clinical manifestations. While risk factors for its onset have been studied, key factors associated with disease severity remain unclear. Identifying these factors is essential for optimizing management and treatment strategies.
aimsThis study aims to identify the key risk factors affecting rosacea severity, characterize the clinical features of rosacea patients, and analyze the correlation between skin parameters and disease severity using the DermaLab system. The findings will provide a scientific basis for improving rosacea management.
methodsA cross-sectional analysis was conducted on 305 newly diagnosed rosacea patients, collecting demographic data, lifestyle habits, and family history. Ordered logistic regression was used to identify key factors influencing disease severity, while the DermaLab system measured skin parameters and verified their correlation with disease severity.
resultsThe study found that gender, family history, hyperlipidemia, constipation, and allergic symptoms were significantly associated with rosacea severity. Regression analysis identified 10 key risk factors, with further verification confirming nine core factors. Additionally, certain dermatological parameters were positively correlated with disease severity, offering new insights for objective disease assessment.
conclusionsRosacea management should focus on identifying risk factors through targeted strategies, including skincare and managing comorbidities. Personalized treatment plans can help control disease progression and improve patients' quality of life.
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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.