XALOC-1
Bibliographic record
Abstract
BACKGROUND: Long-term real-world data on clinical remission in patients with severe eosinophilic asthma (SEA) receiving biologics are lacking. We describe clinical remission over 2 years in patients with SEA receiving benralizumab. RESEARCH QUESTION: Is long-term clinical remission a viable goal for patients with SEA receiving benralizumab? STUDY DESIGN AND METHODS: XALOC-1 is a multinational, retrospective, real-world program in adults with SEA who received benralizumab for ≤ 96 weeks. Percentages of patients meeting the components and composite of clinical remission (no exacerbations, no maintenance oral corticosteroid use, and well-controlled asthma [Asthma Control Test score ≥ 20 or 6-item Asthma Control Questionnaire score ≤ 0.75]) were assessed at weeks 0, 48, and 96. The association between key baseline demographics, clinical characteristics, and clinical remission status was assessed at weeks 48 and 96 using multivariable logistic regression analysis. RESULTS: Of 1,070 patients, 0.4%, 39%, and 31% met the 3-component clinical remission criteria at weeks 0, 48, and 96, respectively. In biologic-naive and biologic-experienced patients, remission occurred in 43% and 32% (week 48), and 36% and 23% (week 96), of patients, respectively. Lower maintenance oral corticosteroid dose (OR, 0.51; 95% CI, 0.34-0.76), lower BMI (OR, 0.56; 95% CI, 0.36-0.86), and higher peak eosinophil count (OR, 1.68; 95% CI, 1.05-2.69) at baseline were positively associated with meeting criteria for clinical remission at week 96. INTERPRETATION: Our results indicate that clinical remission is a realistic goal, sustainable up to 2 years in around one-third of patients with SEA receiving benralizumab. In this study, remission was more likely in patients with lower baseline disease burden, suggesting that further research is warranted regarding whether earlier initiation of a biologic may be beneficial.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.058 | 0.018 |
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".