Evidence map›Paper›PMID 29169736›Full record

ArticleJournal of the American Medical Directors Association2017

Examining the Effects of Age on Health Outcomes of Chronic Obstructive Pulmonary Disease: Results From the Genetic Epidemiology of Chronic Obstructive Pulmonary Disease Study and Evaluation of Chronic Obstructive Pulmonary Disease Longitudinally to Identify Predictive Surrogate Endpoints Cohorts.

Amit D Parulekar, Carlos Martinez, Chu-Lin Tsai, Nicholas Locantore, Mustafa Atik, Abebaw M Yohannes, Christina C Kao, Hassan Al-Azzawi, Ali Mohsin, Robert A Wise and 7 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of the American Medical Directors Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 27% of its field
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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. 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

17 authors at 10 institutions in 2 countries.

Amit D ParulekarSection of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX.
Carlos MartinezUniversity of Michigan, Ann Arbor, MI.
Chu-Lin TsaiDepartment of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Nicholas LocantoreGSK Research and Development, King of Prussia, PA.
Mustafa AtikSection of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX.
Abebaw M YohannesDepartment of Physical Therapy, Azusa Pacific University, Azusa, CA. Electronic address: ayohannes@apu.edu.
Christina C KaoSection of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX.
Hassan Al-AzzawiSection of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX.
Ali MohsinSection of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX.
Robert A WiseJohns Hopkins University, Baltimore, MD.
Marilyn G ForemanPulmonary and Critical Care Medicine Division, Morehouse School of Medicine, Atlanta, GA.
Dawn L DemeoChanning Division of Network Medicine and Pulmonary and Critical Care Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Elizabeth A ReganDepartment of Medicine, National Jewish Health, Denver, CO.
Barry J MakeDepartment of Medicine, National Jewish Health, Denver, CO.
Aladin M BoriekSection of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX.
Laura E WienerDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Nicola A HananiaSection of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX.
Baylor College of Medicine · USAzusa Pacific University · USBrigham and Women's Hospital · USJohns Hopkins University · USMorehouse School of Medicine · USNational Jewish Health · USNational Taiwan University Hospital · TWUniversity of Colorado Denver · USUniversity of Michigan–Ann Arbor · USUniversity of North Carolina at Chapel Hill · US

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Metabolomic signatures of empysema and COPD progression in the COPDGene cohortR01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2012 to 2016
$31.1M
STEERING COMMITTEEU54MD008149 · NIMHD · MOREHOUSE SCHOOL OF MEDICINE · PI OFILI, ELIZABETH O. · 2012 to 2018
$21.1M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
(2 of 2) Genetic Epidemiology of COPDR01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2012 to 2016
$18.9M
NHLBI NIH HHS R01 HL089856NHLBI NIH HHS R01 HL089897NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897NIMHD NIH HHS U54 MD008149
6 · The paper itself

Abstract

rationaleThe prevalence of chronic obstructive pulmonary disease (COPD) and its associated comorbidities increase with age. However, little is understood about differences in the disease in patients over 65 years of age compared with younger patients.

objectivesTo determine disease characteristics of COPD and its impact in older patients compared with younger patients.

methodsWe examined baseline characteristics of patients with COPD (global obstructive lung disease stage II-IV) in 2 large cohorts: Genetic Epidemiology of COPD Study (COPDGene) and Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE). We compared demographics, indices of disease severity, prevalence of comorbidities, exacerbation frequency, and quality of life scores in patients ≥65 years of age vs patients <65 years of age. We also tested for associations of age with disease characteristics and health outcomes.

resultsIn the COPDGene cohort, older patients (n = 1663) had more severe disease as measured by forced expiratory volume in 1 second (1.22 vs 1.52 L, P < .001), use of long-term oxygen therapy (35% vs 22%, P < .001), 6-minute walk distance (355 vs 375 m, P < .001), and radiographic evidence of emphysema (14% vs 8%, P < .001) and air trapping (47% vs 36%, P < .001) and were more likely to have comorbidities compared with younger patients (n = 2027). Similarly, in the ECLIPSE cohort, older patients (n = 1030) had lower forced expiratory volume in 1 second (1.22 vs 1.34 L, P < .001), greater use of long-term oxygen therapy (7% vs 5%, P = .02), shorter 6- minute walk distance (360 vs 389 m, P < .001), and more radiographic evidence of emphysema (17% vs 14%, P = .009) than younger patients (n = 1131). In adjusted analyses of both cohorts, older age was associated with decreased frequency of exacerbations [odds ratio = 0.52, 95% confidence interval (CI) = 0.43-0.64 in COPDGene, odds ratio = 0.79, 95% CI = 0.64-0.99 in ECLIPSE] and a better quality of life (lower St. Georges respiratory questionnaire score) (β = -8.7, 95% CI = -10.0 to -7.4 in COPDGene, β = -4.4, 95% CI = -6.1 to -3.2 in ECLIPSE).

conclusionsDespite greater severity of illness, older patients with COPD had better quality of life and reported fewer exacerbations than younger patients. Although this observation needs to be explored further, it may be related to the fact that older patients change their expectations and learn to adapt to their disease.

Indexed as

Quality of LifeAgedAge FactorsBiomarkersCohort StudiesComorbidityDisease ProgressionFemaleForced Expiratory VolumeGenetic Predisposition to DiseaseHumansLongitudinal StudiesMaleMiddle AgedOdds RatioPredictive Value of TestsBiomarkers6-minute walk distancecomorbiditiesElderlyquality of life

Identifiers

PMID29169736
PMCPMC5955393
OpenAlexW2770830240

What OpenQuestion holds

Textmetadata
LicenceTDM
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.