Bibliographic record
Abstract
PURPOSE OF REVIEW: It is increasingly clear that asthma is not a single disease, but a disorder with vast heterogeneity in pathogenesis, severity, and treatment response. In this review, we discuss the present understanding of different asthma phenotypes and endotypes, and the prospects of personalized medicine for asthma. RECENT FINDINGS: The recognition of diverse biological backgrounds in which asthma, and particularly severe asthma, can manifest has prompted the search for refined phenotypes and endotypes in asthma. Such appreciation of the heterogeneity in asthma is also prompting clinical trials to focus on specific subgroups of asthma, as demonstrated by the clinical trial of lebrikizumab. SUMMARY: Patients with severe asthma have asthma symptoms that are difficult to control, require high dosages of medication, and continue to experience persistent symptoms, asthma exacerbations or airflow obstruction even with aggressive therapy. Although asthma is traditionally viewed as an eosinophilic inflammatory disorder associated with a T-helper cell type 2 (Th2) immune response, recent studies have identified involvement of other effector cells, nonclassical Th2 cytokines and non-Th2 cytokines in severe asthma pathogenesis. Results of several clinical trials of anticytokine antibodies demonstrated the effectiveness of tailoring asthma treatment on the basis of an individual's biology.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".