Capturing Exacerbations of Chronic Obstructive Pulmonary Disease with EXACT. A Subanalysis of FLAME
Bibliographic record
Abstract
RATIONALE: Chronic obstructive pulmonary disease exacerbations accelerate lung function decline, reduce quality of life, and increase mortality. A subset of patients (n = 457) from the FLAME (Effect of Indacaterol Glycopyrronium vs. Fluticasone Salmeterol on COPD Exacerbations) study used the Exacerbations of COPD Tool (EXACT) to capture symptom-defined exacerbations. OBJECTIVES: To evaluate the effect of indacaterol/glycopyrronium versus salmeterol/fluticasone on symptom-defined exacerbations measured using EXACT, and to assess differences between these events and exacerbations requiring healthcare resource use (HCRU). METHODS: All patients in FLAME used an electronic diary to record and detect symptom deteriorations; HCRU-related exacerbations were confirmed by investigators. In patients using the EXACT questionnaire, the onset, recovery, and magnitude of symptom-defined exacerbations were identified by changes in total scores relative to baseline. We analyzed the annualized rate and time to first symptom-defined (EXACT) exacerbation and assessed differences between symptom-defined and HCRU events in terms of number, severity, and concordance. MEASUREMENTS AND MAIN RESULTS: A nonsignificant 17% reduction in the annualized rate of symptom-defined (EXACT) exacerbations (rate ratio, 0.83; 95% confidence interval [CI], 0.60-1.14; P = 0.242) and a numerically longer time to first symptom-defined exacerbation were observed with indacaterol/glycopyrronium versus salmeterol/fluticasone (hazard ratio, 0.76; 95% CI, 0.56-1.03; P = 0.075). These results were consistent with data from the overall FLAME population. Of the symptom-defined (EXACT) events, 23.5% corresponded to HCRU events, and 22.2% of HRCU events were captured by EXACT (κ index, 0.24; 95% CI, 0.15-0.33). CONCLUSIONS: agonists/long-acting muscarinic receptor antagonists as the preferred treatment option for patients at risk of future exacerbations. Clinical trial registered with www.clinicaltrials.gov (NCT01782326).
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.006 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".