Bibliographic record
Abstract
BACKGROUND: Efalizumab (anti-CD11a), a targeted, reversible T-cell modulator, is a humanized monoclonal antibody that provides a rapid onset of action of clinical benefit and has been studied up to 36 months, showing continuous control of plaque-type psoriasis. Efalizumab has recently been approved in Canada for this indication. OBJECTIVE: To examine the efficacy and safety of efalizumab by presenting the latest data in the treatment of psoriasis. METHODS: We searched MEDLINE (1966-2005) for randomized, double-blind studies of efalizumab (1 mg/kg for 12 weeks) using the following key words: psoriasis, efalizumab, biologics, and treatment. RESULTS: It was found that the proportion of patients who achieved Psoriasis Area and Severity Index (PASI) 75 and PASI 50 ranged from 22 to 39% and 52 to 61%, respectively. PASI 75 improvement was achieved in 44% of patients, who continued to receive efalizumab by week 24. Following 36 months of continuous treatment, a PASI 75 response was achieved by 45% (intent-to-treat [ITT] analysis), 59% (maintenance group analysis), and 73% (as-treated analysis). Its safety profile was similar during the 12-week and 36-month treatment periods. CONCLUSIONS: Currently, more than 3,500 patients have received efalizumab in clinical trials. Efalizumab may be an important treatment option for dermatologists seeking to provide a well-tolerated and effective treatment modality for patients with moderate to severe chronic plaque psoriasis.
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 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".