Evidence map›Paper›PMID 25192554›Full record

ArticleAmerican journal of respiratory and critical care medicine2014

Multicenter study comparing case definitions used to identify patients with chronic obstructive pulmonary disease.

Valentin Prieto-Centurion, Andrew J Rolle, David H Au, Shannon S Carson, Ashley G Henderson, Todd A Lee, Peter K Lindenauer, Mary A McBurnie, Richard A Mularski, Edward T Naureckas and 4 more

Registry-linked trialAbstract readComparative StudyMulticenter Study
In one paragraph

Article in American journal of respiratory and critical care medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03137303 (Reducing Diagnostic Error to Improve Patient Safety in COPD and Asthma), which is not on this map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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.

NCT03137303 phase3completednot on this mapstarted 2017, after this paper: background citation

Reducing Diagnostic Error to Improve Patient Safety in COPD and Asthma (REDEFINE Study)

TypeinterventionalSponsorUniversity of Illinois at ChicagoRan2017 to 2019Enrolled402ConditionsCOPD AsthmaArmsSpirometry at initial visit, Albuterol, Spirometry at 12-month follow-up
3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

  1. PhenoFit: a framework for determining computable phenotyping algorithm fitness for purpose and reuse.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  2. Article
  3. Article
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  5. Clarifying Chronic Obstructive Pulmonary Disease Genetic Associations Observed in Biobanks via Mediation Analysis of Smoking.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Outcomes of Patients with COPD Hospitalized for Coronavirus Disease 2019.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2021
    Article
  10. Review
  11. Article
  12. Article
  13. Trait Insights Gained by Comparing Genome-Wide Association Study Results using Different Chronic Obstructive Pulmonary Disease Definitions.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Valentin Prieto-Centurion1 Division of Pulmonary, Critical Care, Sleep and Allergy and.
Andrew J Rolle
David H Au
Shannon S Carson
Ashley G Henderson
Todd A Lee
Peter K Lindenauer
Mary A McBurnie
Richard A Mularski
Edward T Naureckas
William M Vollmer
Binoy J Joese
Jerry A Krishnan
CONCERT Consortium

Funding

CONCERT-Clinical Effectiveness Research (CONCERT-CER)RC2HL101618 · NHLBI · UNIVERSITY OF CHICAGO · PI AU, DAVID H, CARSON, SHANNON S · 2009 to 2010
$7.4M
Pulmonary and Critical Care Post-Doctoral Research Training ProgramT32HL082547 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI FINN, PATRICIA W · 2007 to 2017
$2.7M
NHLBI NIH HHS 2T32HL082547NHLBI NIH HHS RC2 HL101618NHLBI NIH HHS T32 HL082547
6 · The paper itself

Abstract

rationaleClinical trials in chronic obstructive pulmonary disease (COPD) usually require evidence of airflow obstruction and clinical risk factors. International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes or patient-reported physician diagnoses are often used for epidemiologic studies and performance improvement programs.

objectivesTo evaluate agreement between these case definitions for COPD and to assess the comparability of study populations identified as having COPD not using the clinical trial reference standard.

methodsWe recruited patients from the COPD Outcomes-based Network for Clinical Effectiveness and Research Translation multicenter clinical registry in a cross-sectional study. Demographics, clinical, and post-bronchodilator spirometry data were collected at an in-person study visit. The kappa statistic (κ) was used to evaluate agreement. A multivariable logistic regression model was used to identify patient characteristics associated with meeting the trial reference standard. MEASUREMENTS AND MAIN

resultsA total of 998 (82.8%) of 1,206 study participants met at least one case definition for COPD (of the 998: 91% using ICD-9 codes, 73% using patient-reported physician diagnosis, 56% using trial reference standard); agreement between case definitions was poor (κ = 0.20-0.26). Lack of airflow obstruction was the principal (89%) reason patients identified as having COPD did not meet the trial reference standard. Patients who were black (vs. white), obese (vs. normal weight), or had depression (vs. not) were less likely to meet the trial reference standard (odds ratio [95% CI], 0.37 [0.26-0.53], 0.51 [0.34-0.75], 0.53 [0.40-0.71], respectively).

conclusionsFindings highlight concerns about the applicability of findings in clinical trials to patients meeting other case definitions for COPD.

Indexed as

AgedCross-Sectional StudiesFemaleHumansInternational Classification of DiseasesMalePulmonary Disease, Chronic Obstructivecase definitionscomparative effectivenessCOPDICD-9-CMspirometry

Identifiers

PMID25192554
PMCPMC4299587

What OpenQuestion holds

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Registered trials

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.