GRAPPA Point-Counterpoint: Should Biologics Be Used for Mild Psoriasis?
Bibliographic record
Abstract
Psoriasis (PsO) is commonly classified as mild, moderate, or severe, usually based on body surface area (BSA) or other validated measures. Although most dermatologists agree that mild PsO should be treated with topical therapies, there are circumstances where mild or limited PsO should be treated with biologics, even as first line. A debate about use of topical vs biologic therapy was presented at the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2023 annual meeting. Arguments in favor of using biologics when patients have mild disease on limited BSA included presence of psoriatic arthritis (PsA) and symptoms on special sites (ie, scalp, face, body folds, genitals, nails, palms, soles). New data suggest that treating limited or early PsO may decrease the risk of developing PsA. Arguments against using biologics for mild PsO focused on the definition of mild PsO, citing that limited BSA with PsA and significant quality of life impact should not be defined as mild. Truly mild PsO should be treated with topical agents, given their safety and relative low cost. The availability of newer agents like roflumilast and tapinarof have expanded therapeutic choice and have data supporting their use for treatment of special sites.
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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 | 0.007 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.024 | 0.009 |
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".