Long-term benefits of omalizumab in a patient with severe non-allergic asthma
Bibliographic record
Abstract
INTRODUCTION: Currently, omalizumab is indicated for the treatment of patients with severe allergic uncontrolled asthma despite optimal therapy. CASE PRESENTATION: We studied a 52-year-old man who has been suffering from severe non allergic steroid-resistant asthma with increased levels of total IgE and a lot of comorbidity. After a 3 years long treatment with omalizumab, he presented a significant improvement in disease control in terms of hospitalizations, exacerbation, quality of life and lung function with good safety profile. CONCLUSION: Our case shows, after a long follow-up, how omalizumab can be effective in a severe form of non-atopic asthma. It is therefore hoped that further studies can identify indicators that are able to give to clinicians information about patients who can be responsive to monoclonal anti-IgE antibody even if non allergic.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".