The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Annual Change in Pulmonary Function and Clinical Phenotype in Chronic Obstructive Pulmonary Disease
Abstract
RATIONALE: Although the rate of annual decline in FEV1 is one of the most important outcome measures in chronic obstructive pulmonary disease (COPD), little is known about intersubject variability based on clinical phenotypes. OBJECTIVES: To examine the intersubject variability in a 5-year observational cohort study, particularly focusing on emphysema severity. METHODS: A total of 279 eligible patients with COPD (stages I-IV: 26, 45, 24, and 5%) participated. We conducted a detailed assessment of pulmonary function and computed tomography (CT) at baseline, and performed spirometry every 6 months before and after inhalation of bronchodilator. Smoking status, exacerbation, and pharmacotherapy were carefully monitored. Emphysema severity was evaluated by CT and annual measurements of carbon monoxide transfer coefficient. MEASUREMENTS AND MAIN RESULTS: Using mixed effects model analysis, the annual decline in post-bronchodilator FEV1 was -32±24 (SD) ml/yr (n=261). We classified the subjects of less than the 25th percentile as Rapid decliners, the 25th to 75th percentile as Slow decliners, and greater than the 75th percentile as Sustainers (-63±2, -31±1, and -2±1 [SE] ml/yr). Emphysema severity, but not %FEV1, showed significant differences among the three groups. Multiple logistic regression analysis demonstrated that the Rapid decliners were independently associated with emphysema severity assessed either by CT or carbon monoxide transfer coefficient. The Sustainers displayed less emphysema and higher levels of circulating eosinophils. CONCLUSIONS: Emphysema severity is independently associated with a rapid annual decline in FEV1 in COPD. Sustainers and Rapid decliners warrant specific attention in clinical practice.
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.
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
Salmeterol and Fluticasone Propionate and Survival in Chronic Obstructive Pulmonary Disease
Calverley, P. M. A., Anderson, J. A., Celli, B., Ferguson, G. T., Jenkins, C., Jones, P. W., Yates, J. C., & Vestbo, J. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa063070 · Cited by 3,248
Jones, P. W., Quirk, F. H., Baveystock, C. M., & Littlejohns, P. (1992) · American Review of Respiratory Disease · doi:10.1164/ajrccm/145.6.1321 · Cited by 3,035 · cited 2×
“George’s Respiratory Questionnaire (26) was examined every year, and blood was sampled also every year for measurements of circulating blood cell counts, serum IgE, erythrocyte sedimentation rate, or C-reactive protein.”
BackgroundThe St George's Respiratory Questionnaire
Jones, P. W., Quirk, F. H., & Baveystock, C. M. (1991) · Respiratory Medicine · doi:10.1016/s0954-6111(06)80166-6 · Cited by 2,683
Donaldson, G. C. (2002) · Thorax · doi:10.1136/thorax.57.10.847 · Cited by 2,272
Standardisation of the single-breath determination of carbon monoxide uptake in the lung
MacIntyre, N., Crapo, R. O., Viegi, G., Johnson, D. C., van der Grinten, C. P. M., Brusasco, V., Burgos, F., Casaburi, R., Coates, A., Enright, P., et al. (2005) · European Respiratory Journal · doi:10.1183/09031936.05.00034905 · Cited by 2,255
Categorical Data Analysis Using the SAS System
(1996) · Technometrics · doi:10.1080/00401706.1996.10484575 · Cited by 1,869
A 4-Year Trial of Tiotropium in Chronic Obstructive Pulmonary Disease
Tashkin, D. P., Celli, B., Senn, S., Burkhart, D., Kesten, S., Menjoge, S., & Decramer, M. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0805800 · Cited by 1,604
Anthonisen, N. R. (1994) · JAMA · doi:10.1001/jama.1994.03520190043033 · Cited by 1,341
Nihon-Kokyuki-Gakkai (2011) · Cited by 1,301
Pathophysiology of airflow limitation in chronic obstructive pulmonary disease
Hogg, J. C. (2004) · The Lancet · doi:10.1016/s0140-6736(04)16900-6 · Cited by 1,294
Cited by
Guía Española de la EPOC (GesEPOC). Tratamiento farmacológico de la EPOC estable
Miravitlles, M., Soler-Cataluña, J. J., Calle, M., Molina, J., Almagro, P., Quintano, J. A., Riesco, J. A., Trigueros, J. A., Piñera, P., Simón, A., et al. (2012) · Archivos de Bronconeumología · doi:10.1016/j.arbres.2012.04.001 · Cited by 257
Lung imaging in COPD and asthma
Tanabe, N., Nakagawa, H., Sakao, S., Ohno, Y., Shimizu, K., Nakamura, H., Hanaoka, M., Nakano, Y., & Hirai, T. (2024) · Respiratory Investigation · doi:10.1016/j.resinv.2024.08.014 · Cited by 21
Periodontal status and lung function decline in the community: the Hisayama study.
Takeuchi, K., Matsumoto, K., Furuta, M., Fukuyama, S., Takeshita, T., Ogata, H., Suma, S., Shibata, Y., Shimazaki, Y., Hata, J., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-31610-3 · Cited by 20
Metadata
- Authors
- Nishimura, M., Makita, H., Nagai, K., Konno, S., Nasuhara, Y., Hasegawa, M., Shimizu, K., Betsuyaku, T., Ito, Y. M., Fuke, S., Igarashi, T., Akiyama, Y., & Ogura, S.
- Venue
- American Journal of Respiratory and Critical Care Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-01-01
- Volume
- 185
- Issue
- 1
- Pages
- 44-52
- ISSN
- 1073-449X (ISSN-L)
- 1535-4970
- OpenAlex
- W2116954144
- Cited by
- 344
- References
- 36
- FWCI
- 21.28
- Type
- journal article
- Language
- en
- Open access
- closed
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: Annual Change in Pulmonary Function and Clinical Phenotype in Chronic Obstructive Pulmonary Disease. https://app.cochat.ai/papers/10.1164/rccm.201106-0992oc
- The paper
- Nishimura, M., Makita, H., Nagai, K., Konno, S., Nasuhara, Y., Hasegawa, M., Shimizu, K., Betsuyaku, T., Ito, Y. M., Fuke, S., Igarashi, T., Akiyama, Y., & Ogura, S. (2012). Annual Change in Pulmonary Function and Clinical Phenotype in Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.201106-0992oc
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.