The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Inflammatory Biomarkers Improve Clinical Prediction of Mortality in Chronic Obstructive Pulmonary Disease
Abstract
RATIONALE: Accurate prediction of mortality helps select patients for interventions aimed at improving outcome. OBJECTIVES: Because chronic obstructive pulmonary disease is characterized by low-grade systemic inflammation, we hypothesized that addition of inflammatory biomarkers to established predictive factors will improve accuracy. METHODS: A total of 1,843 patients enrolled in the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints study were followed for 3 years. Kaplan-Meier curves, log-rank analysis, and Cox proportional hazards analyses determined the predictive value for mortality of clinical variables, while C statistics assessed the added discriminative power offered by addition of biomarkers. MEASUREMENTS AND MAIN RESULTS: At recruitment we measured anthropometrics, spirometry, 6-minute walk distance, dyspnea, BODE index, history of hospitalization, comorbidities, and computed tomography scan emphysema. White blood cell and neutrophil counts, serum or plasma levels of fibrinogen, chemokine ligand 18, surfactant protein D, C-reactive protein, Clara cell secretory protein-16, IL-6 and -8, and tumor necrosis factor-α were determined at recruitment and subsequent visits. A total of 168 of the 1,843 patients (9.1%) died. Nonsurvivors were older and had more severe airflow limitation, increased dyspnea, higher BODE score, more emphysema, and higher rates of comorbidities and history of hospitalizations. The best predictive model for mortality using clinical variables included age, BODE, and hospitalization history (C statistic of 0.686; P < 0.001). One single biomarker (IL-6) significantly improved the C statistic to 0.708, but this was further improved to 0.726 (P = 0.003) by the addition of all biomarkers. CONCLUSIONS: The addition of a panel of selected biomarkers improves the ability of established clinical variables to predict mortality in chronic obstructive pulmonary disease. Clinical trial registered with www.clinicaltrials.gov (NCT00292552).
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
Rabe, K. F., Hurd, S., Anzueto, A., Barnes, P. J., Buist, S. A., Calverley, P., Fukuchi, Y., Jenkins, C., Rodriguez-Roisin, R., van Weel, C., et al. (2007) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200703-456so · Cited by 4,925
Self-citationCelli, B. R., MacNee, W., Agusti, A., Anzueto, A., Berg, B., Buist, A. S., Calverley, P. M. A., Chavannes, N., Dillard, T., Fahy, B., et al. (2004) · European Respiratory Journal · doi:10.1183/09031936.04.00014304 · Cited by 4,421
Self-citationCelli, B. R., Cote, C. G., Marin, J. M., Casanova, C., Montes de Oca, M., Mendez, R. A., Pinto Plata, V., & Cabral, H. J. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa021322 · Cited by 4,015
Self-citationSalmeterol 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
Self-citationRabe, K. F. (2007) · American Journal of Respiratory and Critical Care Medicine · Cited by 2,567
NOCTURNAL OXYGEN THERAPY TRIAL GROUP* (1980) · Annals of Internal Medicine · doi:10.7326/0003-4819-93-3-391 · Cited by 2,218
Global burden of COPD: risk factors, prevalence, and future trends
Mannino, D. M., & Buist, A. S. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61380-4 · Cited by 2,079
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
Self-citationPencina, M. J., & D'Agostino, R. B. (2004) · Statistics in Medicine · doi:10.1002/sim.1802 · Cited by 1,444
Characterisation of COPD heterogeneity in the ECLIPSE cohort
the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) investigators, Agusti, A., Calverley, P. M., Celli, B., Coxson, H. O., Edwards, L. D., Lomas, D. A., MacNee, W., Miller, B. E., Rennard, S., et al. (2010) · Respiratory Research · doi:10.1186/1465-9921-11-122 · Cited by 1,157
Self-citation
Cited by
Mindfulness meditation and the immune system: a systematic review of randomized controlled trials
Black, D. S., & Slavich, G. M. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12998 · Cited by 599
Inflammatory Biomarkers and Exacerbations in Chronic Obstructive Pulmonary Disease
Thomsen, M., Ingebrigtsen, T. S., Marott, J. L., Dahl, M., Lange, P., Vestbo, J., & Nordestgaard, B. G. (2013) · JAMA · doi:10.1001/jama.2013.5732 · Cited by 401
Self-citationHospitalized Exacerbations of COPD
Müllerova, H., Maselli, D. J., Locantore, N., Vestbo, J., Hurst, J. R., Wedzicha, J. A., Bakke, P., Agusti, A., & Anzueto, A. (2015) · Chest · doi:10.1378/chest.14-0655 · Cited by 320
Self-citationComparison of Proteomic Assessment Methods in Multiple Cohort Studies
Raffield, L. M., Dang, H., Pratte, K. A., Jacobson, S., Gillenwater, L. A., Ampleford, E., Barjaktarevic, I., Basta, P., Clish, C. B., Comellas, A. P., et al. (2020) · PROTEOMICS · doi:10.1002/pmic.201900278 · Cited by 184
Metadata
- Authors
- Celli, B. R., Locantore, N., Yates, J., Tal-Singer, R., Miller, B. E., Bakke, P., Calverley, P., Coxson, H., Crim, C., Edwards, L. D., Lomas, D. A., Duvoix, A., MacNee, W., Rennard, S., Silverman, E., Vestbo, J., Wouters, E., Agustí, A., & for the ECLIPSE Investigators
- Venue
- American Journal of Respiratory and Critical Care Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-05-15
- Volume
- 185
- Issue
- 10
- Pages
- 1065-1072
- ISSN
- 1073-449X (ISSN-L)
- 1535-4970
- OpenAlex
- W2154204110
- Cited by
- 432
- References
- 36
- FWCI
- 36.28
- 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: Inflammatory Biomarkers Improve Clinical Prediction of Mortality in Chronic Obstructive Pulmonary Disease. https://app.cochat.ai/papers/10.1164/rccm.201110-1792oc
- The paper
- Celli, B. R., Locantore, N., Yates, J., Tal-Singer, R., Miller, B. E., Bakke, P., Calverley, P., Coxson, H., Crim, C., Edwards, L. D., Lomas, D. A., Duvoix, A., MacNee, W., Rennard, S., Silverman, E., Vestbo, J., Wouters, E., Agustí, A., & for the ECLIPSE Investigators. (2012). Inflammatory Biomarkers Improve Clinical Prediction of Mortality in Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.201110-1792oc
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.
