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Record W2799467144 · doi:10.1186/s12962-018-0101-3

Cost-effectiveness of umeclidinium compared with tiotropium and glycopyrronium as monotherapy for chronic obstructive pulmonary disease: a UK perspective

2018· article· en· W2799467144 on OpenAlexaff
Dhvani Shah, Maurice T. Driessen, Nancy Risebrough, Timothy Baker, Ian Naya, Andrew Briggs, Afisi Ismaila

Bibliographic record

VenueCost Effectiveness and Resource Allocation · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsMcMaster UniversityImpact
FundersGlaxoSmithKline
KeywordsMedicineCOPDConfidence intervalTiotropium bromideInternal medicineLungLung function

Abstract

fetched live from OpenAlex

BACKGROUND: Cost-effectiveness of once-daily umeclidinium bromide (UMEC) was compared with once-daily tiotropium (TIO) and once-daily glycopyrronium (GLY) in patients with chronic obstructive pulmonary disease (COPD) from a UK National Health Service (NHS) perspective. METHODS: A linked-equation model was implemented to estimate COPD progression, associated healthcare costs, exacerbations rates, life years (LY) and quality-adjusted LY (QALYs). Statistical risk equations for endpoints and resource use were derived from the ECLIPSE and TORCH studies, respectively. Treatment effects [mean (standard error)] at 12 weeks on forced expiratory volume in 1 s and St George's Respiratory Questionnaire score were obtained from the intention-to-treat populations of two head-to-head studies [GSK study identifiers 201316 (NCT02207829) and 201315 (NCT02236611)] which compared UMEC 62.5 mcg with TIO 18 mcg and UMEC 62.5 mcg with GLY 50 mcg, respectively. Treatment costs reflect UK list prices (2016) and NHS unit costs; UMEC and GLY prices being equal and less than TIO. A lifetime horizon, discounted costs and effects at 3.5% were used. Sensitivity analyses were performed to evaluate the robustness of variations in input parameters and assumptions in the model. RESULTS: Over a lifetime horizon, UMEC was predicted to increase LYs (+ 0.195; 95% confidence interval [CI]: 0.069, 0.356) and QALYs (+ 0.118; 95% CI: 0.055, 0.191) and reduce the number of annual exacerbations (- 0.053; 95% CI: - 0.171, 0.028) compared with TIO, with incremental cost savings of £460/patient (95% CI: - £645, - £240). Compared with GLY, UMEC increased LYs (+ 0.124; 95% CI: 0.015, 0.281) and QALYs (+ 0.101; 95% CI: 0.043, 0.179) and reduced annual exacerbation (- 0.033; 95% CI: - 0.135, 0.017) at an additional cost of £132/patient (95% CI: £12, £330), resulting in an incremental cost-effectiveness ratio of £1310/QALY (95% CI: £284, £2060). Similar results were observed in alternative time horizons and additional sensitivity analyses. CONCLUSIONS: 201316, NCT02207829; 201315, NCT02236611.

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)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
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 head0.025
GPT teacher head0.328
Teacher spread0.303 · 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 designSimulation or modeling
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".

Quick stats

Citations5
Published2018
Admission routes1
Has abstractyes

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