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Record W4294221650 · doi:10.2147/copd.s365480

Characterization of Patients with Chronic Obstructive Pulmonary Disease Initiating Single-Inhaler Long-Acting Muscarinic Antagonist/Long-Acting β2-Agonist Dual Therapy in a Primary Care Setting in England

2022· article· en· W4294221650 on OpenAlexaff
Gema Requena, Victoria Banks, Alexandrosz Czira, Robert Wood, Theo Tritton, R Wild, Chris Compton, Maria Duarte, Afisi Ismaila

Bibliographic record

VenueInternational Journal of COPD · 2022
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsMcMaster UniversityImpact
Fundersnot available
KeywordsMedicineLamaIndacaterolCOPDInhalerTiotropium bromideMuscarinic antagonistDry-powder inhalerInternal medicineBronchodilatorPhysical therapyAsthmaAntagonistLung

Abstract

fetched live from OpenAlex

Purpose: Treatment pathways of patients with chronic obstructive pulmonary disease (COPD) receiving single-inhaler dual therapies remain unclear. We aimed to describe characteristics, prescribed treatments, healthcare resource use (HCRU) and costs of patients with COPD who initiated single-inhaler long-acting muscarinic antagonist/long-acting β 2 -agonist (LAMA/LABA) dual therapy in primary care in England. Patients and Methods: Retrospective study using linked data from Clinical Practice Research Datalink Aurum and Hospital Episode Statistics datasets. Patients with COPD with ≥ 1 single-inhaler LAMA/LABA prescription between June 2015 and December 2018 (index) were included. Demographic and clinical characteristics, prescribed treatments, HCRU and costs were evaluated in the 12 months pre-index. Data are presented for patients not receiving concomitant inhaled corticosteroids at index (non-triple users). Results: Of 10,991 patients initiating LAMA/LABA, 9888 were non-triple users, of whom 21.3% (n=2109) received aclidinium bromide/formoterol, 18.1% (n=1785) received indacaterol/glycopyrronium, 12.0% (n=1189) received tiotropium bromide/olodaterol and 48.6% (n=4805) received umeclidinium/vilanterol. Demographic and clinical characteristics were similar across indexed therapies. LAMA monotherapy was the most frequently prescribed respiratory therapy at 12 (18.4– 25.8% of patients) and 3 months (23.9– 33.7% of patients) pre-index across indexed therapies; 42.5– 59.0% of patients were prescribed no respiratory therapy at these time points. COPD-related HCRU during the 12 months pre-index was similar across indexed therapies (general practitioner consultations: 62.0– 68.6% patients; inpatient stays: 19.3– 26.1% patients). Pre-index COPD-related costs were similar across indexed therapies, with inpatient stays representing the highest contribution. Mean total direct annual COPD-related costs ranged from £ 805–£ 1187. Conclusion: Characteristics of patients newly initiating single-inhaler LAMA/LABA dual therapy were highly consistent across indexed therapies. As half of non-triple users were not receiving respiratory therapy one year prior to LAMA/LABA initiation, there may be an opportunity for early optimization of treatment to relieve clinical burden versus current prescribing patterns in primary care in England. Keywords: COPD, initial maintenance therapy, primary care setting, patient characteristics, single-inhaler LAMA/LABA dual therapy, treatment patterns

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.274
Teacher spread0.260 · 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 designObservational
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

Citations3
Published2022
Admission routes1
Has abstractyes

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