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Triple (ICS/LABA/LAMA) vs. Dual (ICS/LABA) Therapy for Persistent, Uncontrolled Asthma: A Systematic Review and Meta-Analysis

2021· review· en· W4230458137 on OpenAlexaff
L.H.-Y. Kim, Carol Saleh, Anna Whalen-Browne, Paul M. O’Byrne, Derek K. Chu

Bibliographic record

Venuenot available
Typereview
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLamaMeta-analysisAsthmaMedicineInternal medicineCOPD

Abstract

fetched live from OpenAlex

Introduction: Among patients with moderate-severe asthma, the benefits and harms of adding long-acting muscarinic antagonists (LAMA) to inhaled corticosteroids (ICS) and long-acting bronchodilators (LABA) remains unclear. Recent randomized clinical trials (RCTs) have evaluated the safety and efficacy of LAMA add-on to ICS and LABA, also known as triple therapy, but prior systematic reviews and meta-analysis did not capture the majority of these trials, resulting in imprecise and inconclusive findings. The latest asthma recommendations are based on 2-3 studies from prior to 2017 (n=907-1301) and one LAMA type. Therefore, the objective of this study was to systematically synthesize the efficacy and safety of triple (ICS-LABA-LAMA) vs. dual therapy (ICS-LABA) in children, adolescents, and adults with persistent, uncontrolled asthma. PROSPERO:CRD42020172608. Methods: MEDLINE, EMBASE, CENTRAL, ICTRP, FDA and EMA databases from November 2017 to December 8, 2020 were searched without language restriction. Two investigators independently selected RCTs comparing triple vs. dual therapy in patients with moderate-severe asthma. Two reviewers independently extracted data and assessed risk of bias. We used random-effects meta-analyses, including individual patient-level exacerbation data, and to assess evidence certainty, the GRADE approach. The primary outcome included in the study were severe exacerbations (risk ratio [RR], incidence rate ratio [IRR], hazard ratio [HR]). The secondary outcomes included asthma control, quality of life, FEV 1 , and adverse events. Results: We included 20 RCTs using 3 LAMA types that enrolled 11,826 children, adolescents, and adults. Compared with dual therapy, preliminary metaanalysis showed that triple therapy with add-on LAMA decreased the number of severe asthma exacerbations (RR 0.80, 95% CI 0.71 to 0.90, high certainty) and increased time-to-first event (HR 0.84, 95%CI 0.78-0.90, high certainty). The symptom scores measured in ACQ5, ACQ6, ACQ7 and ACT in the triple therapy group was improved compared to the dual treatment group was (Mean Difference [MD] 0.05, 95%CI 0.07-0.01 units better, high certainty). In addition, FEV 1 in the triple therapy group was increased compared to the ICS-LABA therapy (FEV 1 MD 80mL, 95% CI 60 to 90mL, high certainty). Serious and non-serious adverse events were similar between groups. Findings were robust to trial sequential, subgroup and sensitivity analyses. Conclusions: In moderate-severe asthma, high certainty evidence shows that triple therapy safely reduces severe exacerbations with modest improvements in other patient-important outcomes. This supports add-on LAMA in patients at high risk for future exacerbation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.027
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.035
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0270.041
Bibliometrics0.0090.008
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.109
GPT teacher head0.363
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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