Interferon-β-1a for patients with moderate to severe acute respiratory distress syndrome: a systematic review and meta-analysis of randomized trials
Bibliographic record
Abstract
INTRODUCTION: Acute respiratory distress syndrome (ARDS) is a life-threatening disease characterized by respiratory failure with rapidly progressing inflammation. Currently, no effective pharmacological treatment for ARDS is available. OBJECTIVES: We conducted this systematic review and meta‑ analysis to examine the use of interferon beta-1a in patients with ARDS. METHODS: Data sources included the following databases: MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials. We retained trials from 1996 to February 25, 2020 that comparatively examined the use of interferon beta-1a in patients with ARDS. Two reviewers identified eligible studies, independently extracted study data, and assessed the risk of bias. The authors evaluated the certainty of evidence using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. RESULTS: We included 2 trials (n = 392 patients). No significant differences in 28-day hospital mortality (risk ratio [RR], 0.59; 95% CI, 0.13-2.67; P = 0.49; very low certainty) and the number of ventilator-free days (mean difference, 4.85 days; 95% CI, -3.25 to 12.93; P = 0.24, very low certainty) were observed in patients treated with interferon beta-1a compared with those not receiving this drug. Interferon beta-1a also had no significant impact on the risk of adverse events (RR, 0.98%; 95% CI, 0.94-1.03; P = 0.47; low certainty). CONCLUSIONS: The use of interferon beta-1a does not appear to improve mortality or reduce the number of ventilator-free days and adverse events in patients with ARDS. This review is based on 2 small studies reporting a limited number of events, which raises questions regarding the true effects of interferon beta-1a. The analysis of 1 study revealed increased mortality with the concomitant use of corticosteroids and interferon beta-1a, suggesting a need for careful consideration of this drug-drug interaction.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.059 | 0.010 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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; 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".