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Record W4410193025 · doi:10.1183/23120541.00123-2025

Guideline-concordant inhaled medication use in COPD: a systematic review of definitions used in administrative health data

2025· review· en· W4410193025 on OpenAlexaff
Yiwei Yin, Valerie Mok, Emily Brigham, Mary A. De Vera, Mohsen Sadatsafavi, Kevin I. Duan, KATE JOHNSON

Bibliographic record

VenueERJ Open Research · 2025
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsVancouver Coastal HealthCentre for Advancing Health OutcomesVancouver Coastal Health Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsMedicineGuidelineCOPDFamily medicineMEDLINEIntensive care medicineEnvironmental healthInternal medicinePathology

Abstract

fetched live from OpenAlex

Background: Assessments of guideline-discordant use of maintenance inhaled therapies for COPD in administrative health data are common but restricted by lack of patient characteristics. We systematically reviewed definitions of guideline-concordant and guideline-discordant maintenance inhaled medication use applied to administrative health data. Methods: We searched MEDLINE and Embase from January 2000 to September 2024 for studies that 1) used administrative health data to identify adults with COPD who were prescribed long-acting bronchodilators (LABDs) or inhaled corticosteroids (ICS) for outpatient treatment; 2) defined maintenance inhaled medication use as guideline-concordant and/or guideline-discordant at the patient level. We developed standardised definitions for claims data aligned with management recommendations and conducted a meta-analysis to assess the proportion of patients with guideline-concordant and guideline-discordant medication use. Results: We screened 4578 records and included 20 studies. There were 22 unique definitions of guideline-concordance or discordance, based on the Global Initiative for Chronic Obstructive Lung Disease (GOLD) recommendations. The most common measurements were 1) guideline-discordant ICS use (n=10); 2) guideline-concordant LABDs use (n=8); and 3) guideline-concordant ICS use, focusing on ICS alone (n=4) regardless of LABDs or with LABDs (n=6). Given that acute exacerbations of COPD (AECOPD) was the most commonly used criterion and aligned with recommendations, we developed an AECOPD risk-based definition. Pooled analysis showed 50% guideline-concordant LABDs use and 45% guideline-discordant ICS use across populations. Conclusions: Definitions of guideline-concordant LABDs use and guideline-discordant ICS use in administrative health data are largely congruent with GOLD. AECOPD risk-based definitions provide a generalisable approach for assessing guideline-concordance in administrative data.

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)0.067
metaresearch head score (Gemma)0.229
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.933
Threshold uncertainty score0.357

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0670.229
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0110.013
Bibliometrics0.0250.029
Science and technology studies0.0010.002
Scholarly communication0.0040.004
Open science0.0030.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.558
GPT teacher head0.583
Teacher spread0.026 · 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.

Study designSystematic review
DomainMethods
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

Citations2
Published2025
Admission routes1
Has abstractyes

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