Efficacy and safety of ensifentrine, a novel phosphodiesterase 3 and 4 inhibitor, in chronic obstructive pulmonary disease: A systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: We evaluated the efficacy and safety of Ensifentrine in COPD via a systematic review and meta-analysis of randomized controlled trials (RCTs). METHODS: We performed a detailed literature search on Medline (via PubMed), Scopus, Google Scholar, and Cochrane on the basis of pre-specified eligibility criteria. We used Review Manager to calculate pooled mean differences (MD) and 95% Confidence Interval (CI) using a random effects model. The Cochrane's Risk of Bias 2 (RoB-2) tool was used to assess the risk of bias in the included RCTs. RESULTS: A total of 4 studies, consisting of 2020 patients, were included in the meta-analysis. The mean age ranged from 62.5 years to 65.5 years in the included studies. All the included studies were at low risk of bias. Ensifentrine 3 mg dose significantly improved the mean peak Forced Expiratory Volume-1 (FEV-1), morning trough FEV-1, TDI score, ERS score, and SGRQ-C score as compared to the placebo, yielding a pooled MD of 149.76 (95% CI, 127.9 to 171.6), 43.93 (95% CI, 23.82 to 64.05), 0.92 (95% CI, 0.64 to 1.21, -1.20 (95% CI, -1.99 to -0.40), and -1.92 (95% CI, -3.24 to -0.59), respectively. CONCLUSION: Ensifentrine is associated with improvements in outcomes related to COPD symptoms such as peak FEV-1, morning trough FEV-1 and TDI in the patients suffering from this chronic disease. It is also associated with improved quality of life as seen by E-RS score and SGRQ-C score.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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".