Bibliographic record
Abstract
INTRODUCTION: Ustekinumab is a human monoclonal antibody directed against the shared p40 subunit of interleukins 12 and 23. Ustekinumab is currently approved for the treatment of psoriatic arthritis (PsA) and moderate to severe plaque psoriasis, and is being evaluated in Crohn's disease (CD). AREAS COVERED: The first evidence supporting the efficacy of ustekinumab in the treatment of moderate to severe CD was published in 2008. Results from subsequent phase II and phase III randomized controlled trials (RCTs) have shown promising data on the clinical efficacy of induction and remission of moderate to severe CD. These data and the safety profile of ustekinumab will be reviewed. Expert commentary: As a significant proportion of individuals with CD have ongoing symptoms and inflammation despite existing therapies, there is a clinical need for new agents like ustekinumab directed at different targets on the inflammatory pathway. Looking forward, more studies are needed to evaluate dosing escalation or de-escalation in addition to timing of therapy switches. In addition, further data is required to gauge the comparative effectiveness of ustekinumab to the biologic agents that are currently used in the treatment of CD.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.006 | 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".