Triple Therapy versus Dual or Monotherapy with Long-Acting Bronchodilators for Chronic Obstructive Pulmonary Disease. A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Abstract Rationale There is uncertainty on the use of using triple therapy (inhaled corticosteroids/long-acting β-agonist/long-acting muscarinic antagonist) inhaler therapy for patients with chronic obstructive pulmonary disease (COPD), who complain of dyspnea and/or exercise intolerance. Objectives We conducted a systematic review and meta-analyses to estimate the safety and efficacy of using triple therapy compared with long-acting β-agonist/long-acting muscarinic antagonist dual therapy or monotherapy with a single long-acting bronchodilator in patients with stable COPD who complained of dyspnea and/or exercise intolerance. Methods A search of MEDLINE, Embase, and the Cochrane Library databases was conducted for randomized controlled trials pertaining to the clinical question. A systematic approach was used to screen, abstract, and critically appraise the studies. The grading of recommendations assessment, development, and evaluation method was applied to rate the certainty/quality of the evidence. Results Eleven studies were eligible for inclusion (n = 14,145 patients). Pairwise random-effects meta-analysis revealed an increase in risk of pneumonia (relative risk, 1.48; 95% confidence interval [95% CI], 1.23–1.79; P < 0.001) and decreased risk of acute exacerbations of COPD (AECOPDs) (relative risk, 0.75; 95% CI, 0.68–0.82; P < 0.001) with triple therapy compared with treatment with dual and monotherapy long-acting bronchodilator therapy. No significant difference in dyspnea scores (standardized mean difference, 0.09; 95% CI, −0.02 to 0.19; P = 0.09) or risk of hospitalization (rate ratio, 0.78; 95% CI, 0.58–1.06; P = 0.11) was noted. When subgroup analysis based on inhaler class was performed, no significant difference was noted between the groups in any of the critical outcomes studied. For patients with a history of one or more AECOPDs in the past year, triple therapy resulted in 230 fewer AECOPDs and 16 more cases of pneumonia per 1,000 patients. Conclusions In patients with COPD who complain of dyspnea and/or exercise intolerance, triple therapy is not superior to maintenance long-acting bronchodilator therapy, except in patients with a history of one or more exacerbations in the past year, in whom the benefits of reduction in AECOPD outweigh the increased risk of pneumonia.
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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 | 0.017 | 0.030 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.027 | 0.040 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".