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Record W4388889973

Cost-Effectiveness Of Once-Daily Single-Inhaler Triple Therapy In COPD: The IMPACT Trial

2019· article· en· W4388889973 on OpenAlexaboutno aff
Ismaila AS, N Risebrough, Melanie Schroeder, D Shah, Alan Martin, Goodall EC, Kerigo Ndirangu, Gerard J. Criner, Mark T. Dransfield, Halpin DMG, Han MK, Lomas DA

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsnot available
Fundersnot available
KeywordsInhalerMedicineCOPDPhysical therapyMedical physicsIntensive care medicineInternal medicineAsthma
DOInot available

Abstract

fetched live from OpenAlex

Afisi S Ismaila,1,2 Nancy Risebrough,3 Melanie Schroeder,4 Dhvani Shah,5 Alan Martin,6 Emma C Goodall,7 Kerigo Ndirangu,5 Gerard Criner,8 Mark Dransfield,9 David MG Halpin,10 MeiLan K Han,11 David A Lomas12 1Value Evidence and Outcomes, GlaxoSmithKline plc, Collegeville, PA, USA; 2Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada; 3ICON Health Economics, ICON plc, Toronto, ON, Canada; 4Value Evidence and Outcomes, GlaxoSmithKline plc, Brentford, UK; 5ICON Health Economics, ICON plc, New York, NY, USA; 6Value Evidence and Outcomes, GlaxoSmithKline plc, Uxbridge, UK; 7Health Economics and Outcomes Research, GlaxoSmithKline plc, Mississauga, ON, Canada; 8Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA; 9Division of Pulmonary, Allergy, and Critical Care Medicine, Lung Health Center, University of Alabama at Birmingham, Birmingham, AL, USA; 10Department of Respiratory Medicine, Royal Devon and Exeter Hospital, Exeter, UK; 11University of Michigan, Pulmonary and Critical Care, Ann Arbor, MI, USA; 12UCL Respiratory, University College London, London, UKCorrespondence: Afisi S IsmailaValue Evidence and Outcomes, GlaxoSmithKline plc, 1250 South Collegeville Road, Collegeville, PA 19426-0989, USATel +1 919 315 8229Email afisi.s.ismaila@gsk.comBackground: We assessed the cost-effectiveness of single-inhaler fluticasone furoate (FF)/umeclidinium (UMEC)/vilanterol (VI) versus FF/VI or UMEC/VI from a Canadian public healthcare perspective, incorporating data from the IMPACT trial in chronic obstructive pulmonary disease (COPD) (NCT02164513).Methods: Baseline inputs and treatment effects from IMPACT were populated into the validated GALAXY-COPD disease progression model. Canadian unit costs and drug costs (Canadian dollars [C$], 2017) were applied to healthcare resource utilization and treatments. Future costs and health outcomes were discounted at 1.5% annually. Analyses were probabilistic, and outputs included exacerbation rates, costs, and life years (LYs) and quality-adjusted life years (QALYs) gained.Results: Compared with FF/VI and UMEC/VI over a lifetime horizon, the analyses predicted that treatment with FF/UMEC/VI resulted in fewer moderate and severe exacerbations, more LYs and more QALYs gained, with a small incremental cost. The base-case incremental cost-effectiveness ratio (ICER) per QALY gained was C$18,989 (95% confidence interval [CI]: C$14,665, C$25,753) versus FF/VI and C$13,776 (95% CI: C$9787, C$19,448) versus UMEC/VI. FF/UMEC/VI remained cost-effective versus both FF/VI and UMEC/VI in all sensitivity analyses, including in scenario analyses that considered different intervention and comparator discontinuation rates, and treatment effects for subsequent therapy.Conclusion: Treatment with FF/UMEC/VI was predicted to improve outcomes and be a cost-effective treatment option for patients with symptomatic COPD and a history of exacerbations compared with FF/VI or UMEC/VI, in Canada.Keywords: chronic obstructive pulmonary disease, cost-effectiveness, single-inhaler triple therapy, quality-adjusted life years, Canada

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.345
GPT teacher head0.572
Teacher spread0.227 · 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 designRandomized trial
Domainnot available
GenreEmpirical

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".

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Citations1
Published2019
Admission routes1
Has abstractyes

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