Efficacy of Etanercept in the Management of Plaque Psoriasis and Psoriatic Arthritis
Bibliographic record
Abstract
Etanercept is a fully human dimeric fusion protein that reversibly binds tumor necrosis factor α. The first approved indication for etanercept was for the treatment of rheumatoid arthritis. It has also been shown to be highly efficacious in numerous large-scale trials for the treatment of plaque psoriasis; this indication was approved in Canada, the United States, and Europe. The recommended dosing of etanercept for plaque psoriasis is 50 mg twice weekly for 12 weeks, followed by a maintenance dose of 50 mg per week. Etanercept given at 50 mg twice weekly for 12 weeks significantly improved plaque psoriasis, as assessed by the Psoriasis Area and Severity Index (PASI), in which 75% reduction in PASI scores (PASI 75) has been the gold standard for judging effective therapy. Dosing given for 12 weeks produced PASI 75 rates of 47 to 49% in the phase 3 clinical trials. Longer treatment periods at this dosage have been investigated, from 24 to 48 weeks, with PASI 75 increasing to 63%. The importance of quality of life for psoriasis patients has been the focus of recent trials, and etanercept has been shown significant improvement in quality of life measures. Interim results from a phase 3b study suggest that etanercept may help reduce the burden of health care resources use by psoriatics. Etanercept has also shown efficacy in nail psoriasis. Case reports indicate that etanercept may be useful in psoriatic erythroderma, pustular psoriasis, guttate psoriasis, and palmopustular psoriasis. Etanercept is an effective biologic agent currently approved for the management of plaque psoriasis and psoriatic arthritis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".