The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Clinical and Radiographic Predictors of GOLD–Unclassified Smokers in the COPDGene Study
Abstract
Rationale: A significant proportion of smokers have lung function impairment characterized by a reduced FEV1 with a preserved FEV1/FVC ratio. These smokers are a poorly characterized group due to their systematic exclusion from chronic obstructive pulmonary disease (COPD) studies. Objectives: To characterize the clinical, functional, and radiographic features of Global Initiative for Chronic Obstructive Lung Disease (GOLD)-Unclassified (FEV1/FVC ≥ 0.7 and FEV1 < 80% predicted) and lower limits of normal (LLN)-unclassified (FEV1/FVC ≥ LLN and FEV1 < LLN) subjects compared to smokers with normal lung function and subjects with COPD. Methods: Data from the first 2,500 subjects enrolled in the COPDGene study were analyzed. All subjects had 10 or more pack-years of smoking and were between the ages of 45 and 80 years. Multivariate regression models were constructed to determine the clinical and radiological variables associated with GOLD-Unclassified (GOLD-U) and LLN-Unclassified status. Separate multivariate regressions were performed in the subgroups of subjects with complete radiologic measurement variables available. Measurements and Main Results: GOLD-U smokers account for 9% of smokers in COPDGene and have increased body mass index (BMI), a disproportionately reduced total lung capacity, and a higher proportion of nonwhite subjects and subjects with diabetes. GOLD-U subjects exhibit increased airway wall thickness compared to smoking control subjects and decreased gas trapping and bronchodilator responsiveness compared to subjects with COPD. When LLN criteria were used to define the “unclassified” group, African American subjects were no longer overrepresented. Both GOLD-U and LLN-Unclassified subjects demonstrated a wide range of lung function impairment, BMI, and percentage of total lung emphysema. Conclusions: Subjects with reduced FEV1 and a preserved FEV1/FVC ratio are a heterogeneous group with significant symptoms and functional limitation who likely have a variety of underlying etiologies beyond increased BMI. Clinical trial registered with www.clinicaltrials.gov (NCT000608764).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Gas trapping, as assessed by expiratory CT scans, can exist in the absence of structural emphysema and is believed to indirectly reflect small airway dysfunction in mild COPD [35].”
From Lung hyperinflation in COPD: applying physiology to clinical practice (2015) · cites this paper as [35]
In the citing paper
“Small studies in mild COPD have reported increased static lung compliance, and quantitative computed tomography (CT) scans have shown emphysema and gas trapping [35][36][37].”
From Lung hyperinflation in COPD: applying physiology to clinical practice (2015) · cites this paper as [35]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Vestbo, J., Hurd, S. S., Agustí, A. G., Jones, P. W., Vogelmeier, C., Anzueto, A., Barnes, P. J., Fabbri, L. M., Martinez, F. J., Nishimura, M., et al. (2013) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201204-0596pp · Cited by 15,983
Miller, M. R., Hankinson, J., Brusasco, V., Burgos, F., Casaburi, R., Coates, A., Crapo, R., Enright, P., van der Grinten, C. P. M., Gustafsson, P., et al. (2005) · European Respiratory Journal · doi:10.1183/09031936.05.00034805 · Cited by 15,627
Stocks, J., & Quanjer, P. (1995) · European Respiratory Journal · doi:10.1183/09031936.95.08030492 · Cited by 688
Obesity Is a Risk Factor for Dyspnea but Not for Airflow Obstruction
Sin, D. D., Jones, R. L., & Man, S. F. P. (2002) · Archives of Internal Medicine · doi:10.1001/archinte.162.13.1477 · Cited by 418
Sex Differences in Severe Pulmonary Emphysema
Martinez, F. J., Curtis, J. L., Sciurba, F., Mumford, J., Giardino, N. D., Weinmann, G., Kazerooni, E., Murray, S., Criner, G. J., Sin, D. D., et al. (2007) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200606-828oc · Cited by 365
Self-citationSex Differences in Emphysema and Airway Disease in Smokers
Camp, P. G., Coxson, H. O., Levy, R. D., Pillai, S. G., Anderson, W., Vestbo, J., Kennedy, S. M., Silverman, E. K., Lomas, D. A., & Paré, P. D. (2009) · Chest · doi:10.1378/chest.09-0676 · Cited by 99
Self-citation
Research works printed but not linked: 40
- Mannino, 2000, Obstructive lung disease and low lung function in adults in the United States: data from the National Health and Nutrition Examination Survey, 1988–1994, Arch Intern Med, 160, 1683, 10.1001/archinte.160.11.1683 · DOI
- Arne, 2010, How often is diagnosis of COPD confirmed with spirometry?, Respir Med, 104, 550, 10.1016/j.rmed.2009.10.023 · DOI
- Han, 2007, Spirometry utilization for COPD: how do we measure up?, Chest, 132, 403, 10.1378/chest.06-2846 · DOI
- Kohler, 2003, Usefulness of GOLD classification of COPD severity, Thorax, 58, 825, 10.1136/thorax.58.9.825 · DOI
- Lee, 2006, Spirometry use in clinical practice following diagnosis of COPD, Chest, 129, 1509, 10.1378/chest.129.6.1509 · DOI
- Zielinski, 2006, Increasing COPD awareness, Eur Respir J, 27, 833, 10.1183/09031936.06.00025905 · DOI
- Aaron, 1999, How accurate is spirometry at predicting restrictive pulmonary impairment?, Chest, 115, 869, 10.1378/chest.115.3.869 · DOI
- Swanney, 2004, Validity of the American Thoracic Society and other spirometric algorithms using FVC and forced expiratory volume at 6 s for predicting a reduced total lung capacity, Chest, 126, 1861, 10.1378/chest.126.6.1861 · DOI
- Vandevoorde, 2008, Forced vital capacity and forced expiratory volume in six seconds as predictors of reduced total lung capacity, Eur Respir J, 31, 391, 10.1183/09031936.00032307 · DOI
- Guerra, 2010, Morbidity and mortality associated with the restrictive spirometric pattern: a longitudinal study, Thorax, 65, 499, 10.1136/thx.2009.126052 · DOI
- Iyer, 2010, The “non-specific” pulmonary function test: longitudinal follow up and outcomes, Chest, 139, 878, 10.1378/chest.10-0804 · DOI
- Engstrom, 2003, Lung function, insulin resistance and incidence of cardiovascular disease: a longitudinal cohort study, J Intern Med, 253, 574, 10.1046/j.1365-2796.2003.01138.x · DOI
- Leone, 2009, Lung function impairment and metabolic syndrome: the critical role of abdominal obesity, Am J Respir Crit Care Med, 179, 509, 10.1164/rccm.200807-1195OC · DOI · Paper page
- Mannino, 2003, Lung function and mortality in the United States: data from the first National Health and Nutrition Examination Survey Follow-up Study, Thorax, 58, 388, 10.1136/thorax.58.5.388 · DOI · Paper page
- Mannino, 2003, Obstructive and restrictive lung disease and functional limitation: data from the third National Health and Nutrition Examination, J Intern Med, 254, 540, 10.1111/j.1365-2796.2003.01211.x · DOI
- Wan, 2011, Clinical and radiographic predictors of GOLD-unclassified subjects in COPDgene, Am J Respir Crit Care Med, 183, A1010
- Regan, 2010, Genetic epidemiology of COPD (COPDGene) study design, COPD, 7, 32, 10.3109/15412550903499522 · DOI · Paper page
- Hankinson, 1999, Spirometric reference values from a sample of the general U.S. population, Am J Respir Crit Care Med, 159, 179, 10.1164/ajrccm.159.1.9712108 · DOI
- Aysola, 2008, Airway remodeling measured by multidetector CT is increased in severe asthma and correlates with pathology, Chest, 134, 1183, 10.1378/chest.07-2779 · DOI
- Hoffman, 2006, State of the art. A structural and functional assessment of the lung via multidetector-row computed tomography: phenotyping chronic obstructive pulmonary disease, Proc Am Thorac Soc, 3, 519, 10.1513/pats.200603-086MS · DOI
- Nakano, 2005, The prediction of small airway dimensions using computed tomography, Am J Respir Crit Care Med, 171, 142, 10.1164/rccm.200407-874OC · DOI
- Iwano, 2009, 3D-CT volumetry of the lung using multidetector row CT: comparison with pulmonary function tests, Acad Radiol, 16, 250, 10.1016/j.acra.2008.09.019 · DOI
- Brown, 2010, Reproducibility of lung and lobar volume measurements using computed tomography, Acad Radiol, 17, 316, 10.1016/j.acra.2009.10.005 · DOI
- Mannino, 2005, Risk factors for prevalence of and mortality related to restriction on spirometry: findings from the first National Health and Nutrition Examination Survey and Follow-up, Int J Tuberc Lung Dis, 9, 613
- Jones, 2006, The effects of body mass index on lung volumes, Chest, 130, 827, 10.1378/chest.130.3.827 · DOI · Paper page
- Schachter, 2001, Obesity is a risk for asthma and wheeze but not airway hyperresponsiveness, Thorax, 56, 4, 10.1136/thorax.56.1.4 · DOI · Paper page
- Watson, 2005, Postural changes in lung volumes and respiratory resistance in subjects with obesity, J Appl Physiol, 98, 512, 10.1152/japplphysiol.00430.2004 · DOI
- Yap, 1995, Effects of posture on respiratory mechanics in obesity, J Appl Physiol, 79, 1199, 10.1152/jappl.1995.79.4.1199 · DOI
- Mair, 2010, Airway dimensions in COPD: relationships with clinical variables, Respir Med, 104, 1683, 10.1016/j.rmed.2010.04.021 · DOI
- Ogawa, 2009, Body mass index in male patients with COPD: correlation with low attenuation areas on CT, Thorax, 64, 20, 10.1136/thx.2008.097543 · DOI
- Dransfield, 2006, Racial and gender differences in susceptibility to tobacco smoke among patients with chronic obstructive pulmonary disease, Respir Med, 100, 1110, 10.1016/j.rmed.2005.09.019 · DOI
- Litonjua, 2005, Lung function in type 2 diabetes: the Normative Aging Study, Respir Med, 99, 1583, 10.1016/j.rmed.2005.03.023 · DOI
- van den Borst, 2010, Pulmonary function in diabetes: a metaanalysis, Chest, 138, 393, 10.1378/chest.09-2622 · DOI
- Engstrom, 2010, Population-based study of lung function and incidence of heart failure hospitalisations, Thorax, 65, 633, 10.1136/thx.2010.135392 · DOI
- Naum, 1992, Pulmonary function abnormalities in chronic severe cardiomyopathy preceding cardiac transplantation, Am Rev Respir Dis, 145, 1334, 10.1164/ajrccm/145.6.1334 · DOI
- Wright, 1990, Ventilatory and diffusion abnormalities in potential heart transplant recipients, Chest, 98, 816, 10.1378/chest.98.4.816 · DOI
- Grydeland, 2009, Quantitative computed tomography: emphysema and airway wall thickness by sex, age and smoking, Eur Respir J, 34, 858, 10.1183/09031936.00167908 · DOI
- Kim, 2009, CT metrics of airway disease and emphysema in severe COPD, Chest, 136, 396, 10.1378/chest.08-2858 · DOI
- Washko, 2011, Lung volumes and emphysema in smokers with interstitial lung abnormalities, N Engl J Med, 364, 897, 10.1056/NEJMoa1007285 · DOI
- Bon, 2008, A unique spirometric phenotype in COPD, Am J Respir Crit Care Med, 178, 431, 10.1164/ajrccm.178.4.431a · DOI
Cited by
Lung hyperinflation in COPD: applying physiology to clinical practice
O’Donnell, D. E., Webb, K. A., & Neder, J. A. (2015) · COPD Research and Practice · doi:10.1186/s40749-015-0008-8 · Cited by 93
Metadata
- Authors
- Wan, E. S., Hokanson, J. E., Murphy, J. R., Regan, E. A., Make, B. J., Lynch, D. A., Crapo, J. D., & Silverman, E. K.
- Venue
- American Journal of Respiratory and Critical Care Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-07-01
- Volume
- 184
- Issue
- 1
- Pages
- 57-63
- ISSN
- 1073-449X
- 1535-4970
- Cited by
- 147
- References
- 6
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Clinical and Radiographic Predictors of GOLD–Unclassified Smokers in the COPDGene Study. https://app.cochat.ai/papers/10.1164/rccm.201101-0021oc
- The paper
- Wan, E. S., Hokanson, J. E., Murphy, J. R., Regan, E. A., Make, B. J., Lynch, D. A., Crapo, J. D., & Silverman, E. K. (2011). Clinical and Radiographic Predictors of GOLD–Unclassified Smokers in the COPDGene Study. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.201101-0021oc
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.