Novel, Single-Dose Microsphere Formulation of Azithromycin versus 7-Day Levofloxacin Therapy for Treatment of Mild to Moderate Community-Acquired Pneumonia in Adults
Bibliographic record
Abstract
This randomized, double-blind, noninferiority study was designed to demonstrate that a single 2.0-g oral dose of a novel microsphere formulation of azithromycin was at least as effective as 7 days of levofloxacin, 500 mg/day, in the treatment of adult patients with mild to moderate community-acquired pneumonia (Fine classes I, II, and III). In total, 427 subjects were randomly assigned to receive either a single 2.0-g dose of azithromycin microspheres (n = 213) or a 7-day regimen of levofloxacin (n = 214). At baseline, 219 of 423 (51.8%) treated subjects had at least one pathogen identified by culture, PCR, or serology. The primary end point was the clinical response (cure or failure) in the "clinical per protocol" population at test of cure (days 13 to 24). Clinical cure rates were 89.7% (156 of 174) for azithromycin microspheres and 93.7% (177 of 189) for levofloxacin (treatment difference, -4.0%; 95% confidence interval, -9.7%, 1.7%). Bacteriologic success at test of cure in the "bacteriologic per protocol" population was 90.7% (97 of 107) for azithromycin microspheres and 92.3% (120 of 130) for levofloxacin (treatment difference, -1.7%; 95% confidence interval, -8.8%, 5.5%). Both treatment regimens were well tolerated; the incidence of treatment-related adverse events was 19.9% and 12.3% for azithromycin and levofloxacin, respectively. A single 2.0-g dose of azithromycin microspheres was at least as effective as a 7-day course of levofloxacin in the treatment of mild to moderate community-acquired pneumonia in adult outpatients.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".