Comprehensive long‐term safety of adalimumab from 18 clinical trials in adult patients with moderate‐to‐severe plaque psoriasis
Bibliographic record
Abstract
BACKGROUND: , AbbVie Inc., North Chicago, IL, U.S.A.) is a fully human monoclonal antibody specific for tumour necrosis factor-α that is approved to treat adults with moderate-to-severe chronic plaque psoriasis. OBJECTIVES: To assess long-term safety for patients with psoriasis receiving adalimumab in clinical studies. METHODS: Adalimumab safety data from adults with psoriasis who received at least one adalimumab dose in 18 clinical trials were evaluated. Adalimumab was delivered subcutaneously in all treatment regimens. Treatment-emergent adverse events (AEs) were collected from the first dose to 70 days after the last dose or cut-off date (31 December 2015). AE incidence rates were expressed as events per 100 patient-years (E/100 PYs) of adalimumab exposure. Standardized incidence ratios (SIRs) for malignancies and standardized mortality ratios (SMRs) were calculated. RESULTS: Cumulative exposure was 5429·7 PYs in 3727 patients. Overall, there were 16 536 AEs (304·6 E/100 PYs). The most common AEs were nasopharyngitis, upper respiratory infection and headache (23·7, 12·9 and 7·9 E/100 PYs, respectively). Incidence rates for serious infections, tuberculosis and opportunistic infections were 1·8, 0·3 and 0·02 E/100 PYs, respectively. Incidence of malignancy excluding nonmelanoma skin cancer (NMSC) was 0·8 E/100 PYs [SIR 0·86, 95% confidence interval (CI) 0·58-1·23]. Incidences of NMSC and melanoma were 0·6 and 0·2 E/100 PYs, respectively. The SIR was 1·55 (95% CI 1·10-2·13) for NMSC and 3·04 (95% CI 1·11-6·62) for melanoma. The SMR was 0·34 (95% CI 0·16-0·65). CONCLUSIONS: AE rates remained stable in this analysis of patients with psoriasis receiving adalimumab; no new safety signals were identified compared with earlier analyses.
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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 | 0.014 | 0.008 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".