Induced sputum cell counts: their usefulness in clinical practice
Bibliographic record
Abstract
Airway inflammation is fundamental to the aetiology and persistence of asthma and other airway conditions. The presence and type of airway inflammation can be difficult to detect clinically, delaying the introduction of appropriate treatment. Induced sputum cell counts are a relatively noninvasive, safe and reliable method of identifying airway inflammation. They can accurately discriminate eosinophilic airway inflammation from noneosinophilic airway inflammation, and help guide therapy. Eosinophilic airway inflammation is steroid responsive whilst noneosinophilic (usually neutrophilic) inflammation generally is not. Macrophages containing haemosiderin can be useful in detecting left ventricular dysfunction and macrophages containing lipid are suggestive of oropharyngeal reflux with microaspiration, both of which can complicate or confuse assessment of airway disease. To date, studies using induced sputum are primarily observational. Management studies based on examination of induced sputum are now needed to validate the clinical utility of this test.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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; both teacher heads agree on what is shown here.
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".