Tralokinumab did not demonstrate oral corticosteroid-sparing effects in severe asthma
Bibliographic record
Abstract
Long-term oral corticosteroid (OCS) use in patients with severe asthma is associated with significant adverse effects. This 40-week, randomised, double-blind trial evaluated the OCS-sparing potential of tralokinumab in patients with severe, uncontrolled asthma requiring maintenance OCS treatment plus inhaled corticosteroids/long-acting β2-agonists. Overall, 140 patients were randomised to tralokinumab 300 mg or placebo (n=70 in each group) administered subcutaneously every 2 weeks. The primary end-point was percentage change from baseline in average OCS dose at week 40, while maintaining asthma control. Secondary end-points included proportion of patients with a prescribed maintenance OCS dose of ≤5 mg, those with a ≥50% reduction in prescribed maintenance OCS dose and asthma exacerbation rate. Safety was also assessed. At week 40, the percentage reduction from baseline in the final daily average OCS dose was not significantly different between tralokinumab and placebo (37.62%versus29.85%; p=0.271). There were no significant between-treatment differences for any secondary end-point. Overall, reporting of adverse events and serious adverse events were similar for the tralokinumab and placebo groups. Although a greater proportion of tralokinumab-treated patients reported upper respiratory tract infections (35.7%versus14.3%), there were no reported cases of pneumonia. Overall, tralokinumab did not demonstrate an OCS-sparing effect in patients with severe asthma.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".