Evidence map›Paper›PMID 27268422›Full record

ArticleAnnals of the American Thoracic Society2016

Respiratory and Bronchitic Symptoms Predict Intention to Quit Smoking among Current Smokers with, and at Risk for, Chronic Obstructive Pulmonary Disease.

Anne C Melzer, Laura C Feemster, Kristina Crothers, Shannon S Carson, Suzanne E Gillespie, Ashley G Henderson, Jerry A Krishnan, Peter K Lindenauer, Mary Ann McBurnie, Richard A Mularski and 4 more

Abstract read
In one paragraph

Article in Annals of the American Thoracic Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Short-Term Impact of the Frequency of COPD Exacerbations on Quality of Life.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2022
    Article
  11. Article
  12. Effects of Respiratory Disorders on Smoking Cessation and Re-Initiation in an Italian Cohort Study.International journal of environmental research and public health · 2021
    Article
  13. Article
  14. Smoking behavior and beliefs about the impact of smoking on anti-tuberculosis treatment among health care workers.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2017
    Article
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

14 authors.

Anne C Melzer1 Division of Pulmonary and Critical Care, University of Washington, Seattle, Washington.
Laura C Feemster1 Division of Pulmonary and Critical Care, University of Washington, Seattle, Washington.
Kristina Crothers1 Division of Pulmonary and Critical Care, University of Washington, Seattle, Washington.
Shannon S Carson3 University of North Carolina, Chapel Hill, North Carolina.
Suzanne E Gillespie4 Kaiser Permanente Northwest, Center for Health Research, Portland, Oregon.
Ashley G Henderson3 University of North Carolina, Chapel Hill, North Carolina.
Jerry A Krishnan5 Population Health Sciences Program, University of Illinois Hospital & Health Sciences System, Chicago, Illinois.
Peter K Lindenauer6 Department of Medicine, Center for Quality of Care Research, Baystate Medical Center, Tufts University School of Medicine, Springfield, Massachusetts.
Mary Ann McBurnie4 Kaiser Permanente Northwest, Center for Health Research, Portland, Oregon.
Richard A Mularski4 Kaiser Permanente Northwest, Center for Health Research, Portland, Oregon.
Edward T Naureckas7 Department of Medicine, University of Chicago, Chicago, Illinois; and.
A Simon Pickard8 Department of Pharmacy Systems, Outcomes & Policy and Center for Pharmacoepidemiology & Pharmacoeconomic Research, College of Pharmacy, University of Illinois at Chicago, Chicago, Illinois.
David H Au1 Division of Pulmonary and Critical Care, University of Washington, Seattle, Washington.
COPD Outcomes-based Network for Clinical Effectiveness and Research Translation Consortium

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
RESPIRATORY RESEARCH TRAINING PROGRAMT32HL007287 · NHLBI · UNIVERSITY OF WASHINGTON · PI Kristina Anne Crothers, David J. Horne · 1985 to 2026
$16.7M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
CONCERT-Clinical Effectiveness Research (CONCERT-CER)RC2HL101618 · NHLBI · UNIVERSITY OF CHICAGO · PI AU, DAVID H, CARSON, SHANNON S · 2009 to 2010
$7.4M
Facilitating adoption of COPD evidence-based care in outpatient settings (FACES)K23HL111116 · NHLBI · UNIVERSITY OF WASHINGTON · PI FEEMSTER, LAURA CECERE · 2013 to 2017
$481k
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K23 HL111116NHLBI NIH HHS RC2 HL101618NHLBI NIH HHS T32 HL007287
6 · The paper itself

Abstract

rationaleSmoking cessation is the most important intervention for patients with chronic obstructive pulmonary disease (COPD). What leads smokers with COPD to quit smoking remains unknown.

objectivesWe sought to examine the association between respiratory symptoms and other markers of COPD severity with intention to quit smoking among a cohort of patients with probable COPD.

methodsWe conducted a cross-sectional study of subjects with COPD or fixed airflow obstruction clinically diagnosed on the basis of pulmonary function testing. The subjects were identified in the COPD Outcomes-based Network for Clinical Effectiveness and Research Translation multicenter registry. The primary outcome was the intention to quit smoking within the next 30 days (yes or no), which was examined using model building with multivariable logistic regression, clustered by study site. MEASUREMENTS AND MAIN

resultsWe identified 338 current smokers with COPD via the registry. Of these subjects, 57.4% (n = 194) had confirmed airflow obstruction based on pulmonary function testing. Nearly one-third (29.2%; n = 99) intended to quit smoking in the next 30 days. In adjusted analyses, compared with subjects without airflow obstruction based on pulmonary function testing, subjects with Global Initiative for Chronic Obstructive Lung Disease stage I/II COPD were more likely to be motivated to quit (odds ratio [OR], 1.85; 95% confidence interval [CI], 1.37-2.49), with no association found for subjects with Global Initiative for Chronic Obstructive Lung Disease stage III/IV disease. Among the entire cohort, frequent phlegm (OR, 2.10; 95% CI, 1.22-3.64), cough (OR, 1.74; 95% CI, 1.01-2.99), wheeze (OR, 1.73; 95% CI, 1.09-3.18), and higher modified Medical Research Council dyspnea score (OR, 1.26 per point; 95% CI, 1.13-1.41) were associated with increased odds of intending to quit smoking. Low self-reported health was associated with decreased odds of intending to quit (OR, 0.75; 95% CI, 0.62-0.92).

conclusionsFrequent cough, phlegm, wheeze, and shortness of breath were associated with intention to quit smoking in the next 30 days, with a less clear relationship for severity of illness graded by pulmonary function testing and self-rated health. These findings can be used to inform the content of tobacco cessation interventions to provide a more tailored approach for patients with respiratory diseases such as COPD.

Indexed as

IntentionAdultAgedAged, 80 and overCoughCross-Sectional StudiesDatabases, FactualDyspneaFemaleForced Expiratory VolumeHumansLogistic ModelsLungMaleMiddle AgedMultivariate Analysiscessationchronic obstructive pulmonary diseasetobacco

Identifiers

PMID27268422
PMCPMC5059497

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.