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Record W3137244378 · doi:10.2147/copd.s290805

Are COPD Prescription Patterns Aligned with Guidelines? Evidence from a Canadian Population-Based Study

2021· article· en· W3137244378 on OpenAlexafffundabout
Taraneh Bahremand, Mahyar Etminan, Nardin Roshan-Moniri, Mary A. De Vera, Hamid Tavakoli, Mohsen Sadatsafavi

Bibliographic record

VenueInternational Journal of COPD · 2021
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsCentre for Advancing Health OutcomesUniversity of British Columbia
FundersReseau canadien de recherche respiratoire
KeywordsMedicineCOPDExacerbationMedical prescriptionLamaPopulationInternal medicineOdds ratioCohortRetrospective cohort studyAsthmaPediatricsPharmacologyEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: In contemporary guidelines for the management of Chronic Obstructive Pulmonary Disease (COPD), the history of acute exacerbations plays an important role in the choice of long-term inhaled therapies. This study aimed at evaluating population-level trends of filled inhaled prescriptions over the time course of COPD and their relation to the history of exacerbations. METHODS: We used administrative health databases in British Columbia, Canada (1997-2015), to create a retrospective incident cohort of individuals with diagnosed COPD. We quantified long-acting inhaled medication prescriptions within each year of follow-up and documented their trend over the time course of COPD. Using generalized linear models, we investigated the association between the frequent exacerbator status (≥2 moderate or ≥1 severe exacerbation(s) in the previous 12 months) and filling a prescription after a physician visit. RESULTS: 132,004 COPD patients were included (mean age 68.6, 49.2% female). The most common medication class during the first year of diagnosis was inhaled corticosteroids (ICS, used by 49.9%), followed by long-acting beta-2 adrenoreceptor agonists (LABA, 31.8%). Long-acting muscarinic receptor antagonists (LAMA) were the least commonly prescribed (10.4%). ICS remained the most common prescription throughout follow-up, being used by approximately 50% of patients during each year. 39.0% of patients received combination inhaled therapies in their first year of diagnosis, with ICS+LABA being the most common (30.7%). The association with exacerbation history was the most pronounced for triple therapy with an odds ratio (OR) of 2.68 for general practitioners and 2.02 for specialists (p<0.001 for both). Such associations were generally stronger among GPs compared with specialists, with the exception of monotherapy with LABA or ICS. CONCLUSION: We documented low utilization of monotherapies (specifically LAMA) and high utilization of combination therapies (particularly ICS containing). Specialists were less likely to consider exacerbation history in the choice of inhaled therapies compared with GPs.

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)0.008
metaresearch head score (Gemma)0.044
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 score0.970
Threshold uncertainty score0.219

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.044
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.018
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0040.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.052
GPT teacher head0.361
Teacher spread0.309 · 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

Citations15
Published2021
Admission routes3
Has abstractyes

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Same venueInternational Journal of COPDSame topicChronic Obstructive Pulmonary Disease (COPD) ResearchFrench-language works237,207