Evidence map›Paper›PMID 27747765›Full record

ArticleDrugs - real world outcomes2015

Severe COPD Exacerbation Risk and Long-Acting Bronchodilator Treatments: Comparison of Three Observational Data Analysis Methods.

Melissa H Roberts, Douglas W Mapel, Matthew E Borrego, Dennis W Raisch, Larry Georgopoulos, David van der Goes

Abstract read
In one paragraph

Article in Drugs - real world outcomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Melissa H RobertsHealth Services Research Division, LCF Research, 2309 Renard Place SE, Suite 103, Albuquerque, NM, 87106, USA. mroberts@lcfresearch.org.
Douglas W MapelHealth Services Research Division, LCF Research, 2309 Renard Place SE, Suite 103, Albuquerque, NM, 87106, USA.
Matthew E BorregoCollege of Pharmacy, University of New Mexico, Albuquerque, NM, USA.
Dennis W RaischCollege of Pharmacy, University of New Mexico, Albuquerque, NM, USA.
Larry GeorgopoulosCollege of Pharmacy, University of New Mexico, Albuquerque, NM, USA.
David van der GoesDepartment of Economics, University of New Mexico, Albuquerque, NM, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveResults from three observational methods for assessing effectiveness of long-acting bronchodilator therapies for reducing severe exacerbations of chronic obstructive pulmonary disease (COPD) were compared: intent-to-treat (ITT), as protocol (AP), and an as-treated analysis that utilized a marginal structural model (MSM) incorporating time-varying covariates related to treatment adherence and moderate exacerbations. STUDY DESIGN AND

settingSevere exacerbation risk was assessed over a 2-year period using claims data for patients aged ≥40 years who initiated long-acting muscarinic antagonist (LAMA), inhaled corticosteroid/long-acting beta-agonist (ICS/LABA), or triple therapy (LAMA + ICS/LABA).

resultsA total of 5475 COPD patients met inclusion criteria. Six months post-initiation, 53.5 % of patients discontinued using any therapy. The ITT analysis found an increased severe exacerbation risk for triple therapy treatment (hazard ratio [HR] 1.24; 95 % confidence interval [CI] 1.00-1.53). No increased risk was found in the AP (HR 1.00; 95 % CI 0.73-1.36), or MSM analyses (HR 1.11; 95 % CI 0.68-1.81). The MSM highlighted important associations among post-index events.

conclusionNeglecting to adjust for treatment discontinuation may produce biased risk estimates. The MSM approach is a promising tool to compare chronic disease management by illuminating relationships between treatment decisions, adherence, patient choices, and outcomes.

Identifiers

PMID27747765
PMCPMC4883193

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.