The Spectrum of Management for Psoriasis: From the Known to New Alternatives
Bibliographic record
Abstract
Psoriasis is a chronic, immune-mediated systemic condition characterized by inflammatory changes that may involve the skin and joints. It is relatively common, with a prevalence rate of 2–4% in North America, and a global prevalence rate of up to 11.4%. Years ago, affected patients may have ranged in age from 18–39 to 50–69 due to bimodal distribution. While initially thought to be a dermatologic disease, it is now a recognized multisystem condition with a genetic predisposition. The complex pathophysiology is thought to originate from dysregulation between the innate and adaptive immune systems. T-lymphocytes, dendritic cells, cytokines such as interleukin (IL) 23, IL-17, and tumor necrosis factor (TNF) have all been implicated in and contribute to the inflammatory sequelae. The chronicity and pathogenesis of disease may predispose patients to significant functional impairments, associated comorbidities such as metabolic syndrome and cardiovascular disease, and diminished quality of life. This has prompted novel approaches to management with the introduction of biologics and small molecule therapies that address the underlying immune dysregulation. There are multiple clinical manifestations including plaque psoriasis, guttate psoriasis, erythrodermic psoriasis, and pustular psoriasis. Among the most common is plaque psoriasis which typically presents as symmetrically distributed, well demarcated, erythematous, scaly plaques or patches that may be pruritic. Common sites of involvement include the extensor surfaces of the elbows, knees, the trunk, gluteal cleft, and scalp. Guttate psoriasis is typically preceded by upper respiratory infections and represents approximately 2% of all cases of psoriasis. It involves several small (<1 cm) confetti-like papules and plaques. A severe, although uncommon form is erythrodermic psoriasis which results in widely distributed erythema, scales and exfoliation of a large surface area of the skin. Due to the widespread loss of the epidermal, dermal barrier and associated risk of fluid loss, electrolyte disturbances and infection, it is considered a dermatologic emergency. Pustular psoriasis is also an uncommon, potentially severe, clinical variant, with possible complications secondary to acute widespread erythema and development of multiple pustules.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".