Psoriasis and Metabolic Disorders: A Comprehensive Meta-Analysis of Million Adults Worldwide
Bibliographic record
Abstract
Psoriasis, a chronic inflammatory skin condition, and metabolic disorders, such as obesity, diabetes, and dyslipidemia, have long been recognized as distinct clinical entities. However, emerging evidence suggests a complex bidirectional relationship between these seemingly unrelated conditions. Psoriasis is characterized by an accelerated skin cell turnover, resulting in the formation of erythematous plaques with silvery scales. Metabolic disorders, on the other hand, encompass a range of conditions associated with abnormal metabolic processes, including insulin resistance, dyslipidemia, and chronic low-grade inflammation. It is intriguing to note that psoriasis is commonly associated with several metabolic comorbidities, with a higher prevalence observed in individuals with obesity, type 2 diabetes, and metabolic syndrome. Mounting evidence suggests that chronic inflammation plays a pivotal role in both psoriasis and metabolic disorders. Shared inflammatory mediators, such as tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and C-reactive protein (CRP), have been implicated in the pathogenesis of both conditions. Moreover, adipose tissue-derived hormones, known as adipokines, including leptin and adiponectin, exert modulatory effects on immune responses and may contribute to the link between psoriasis and metabolic abnormalities. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a comprehensive search across databases identified 16 eligible studies (1975-2023), totaling 6,623,379 participants. Inclusion criteria encompassed peer-reviewed observational studies focusing on adults and specified outcomes. Data extraction, quality assessment (Newcastle-Ottawa scale (NOS)), meta-analyses, and heterogeneity evaluations were conducted using rigorous methods. Psoriasis displayed a significant association with diabetes mellitus (DM, 18% increased incidence), hypertension (HTN, 35%), hyperlipidemia (19%), and obesity (25%). Substantial heterogeneity was observed in meta-analyses, particularly for DM. The NOS indicated varied study quality, with some studies categorized as a high or moderate risk of bias.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".