The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Global burden of COPD
Open accessAbstract
It is estimated that the world population will reach a record 7.3 billion in 2015, and the high burden of chronic conditions associated with ageing and smoking will increase further. Respiratory diseases in general receive little attention and funding in comparison with other major causes of global morbidity and mortality. In particular, chronic obstructive pulmonary disease (COPD) has been a major public health problem and will remain a challenge for clinicians within the 21st century. Worldwide, COPD is in the spotlight, since its high prevalence, morbidity and mortality create formidable challenges for health‐care systems. This review emphasizes the magnitude of the COPD problem from a clinician's standpoint by drawing extensively from the new findings of the G lobal B urden of D isease study. Updated, distilled information on the population distribution of COPD is useful for the clinician to help provide an appreciation of the relative impact of COPD in daily practice compared with other chronic conditions, and to allocate minimum resources in anticipation of future needs in care. Despite recent trends in reduction of COPD standardized mortality rates and some recent successes in anti‐smoking efforts in a number of W estern countries, the overarching demographic impact of ageing in an ever‐expanding world population, joined with other factors such as high rates of smoking and air pollution in A sia, will ensure that COPD will continue to pose an ever‐increasing problem well into the 21st century.
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
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
Projections of Global Mortality and Burden of Disease from 2002 to 2030
Mathers, C. D., & Loncar, D. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030442 · Cited by 11,386
Murray, C. J. L., Vos, T., Lozano, R., Naghavi, M., Flaxman, A. D., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61689-4 · Cited by 8,888
Vos, T., Flaxman, A. D., Naghavi, M., Lozano, R., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., Aboyans, V., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61729-2 · Cited by 8,291
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
Cited by
The unmet global burden of COPD
Quaderi, S. A., & Hurst, J. R. (2018) · Global Health, Epidemiology and Genomics · doi:10.1017/gheg.2018.1 · Cited by 420
From Diagnosis to Treatment: Recent Advances in Patient-Friendly Biosensors and Implantable Devices
Li, P., Lee, G.-H., Kim, S. Y., Kwon, S. Y., Kim, H.-R., & Park, S. (2021) · ACS Nano · doi:10.1021/acsnano.0c06688 · Cited by 359
Major air pollutants and risk of COPD exacerbations: a systematic review and meta-analysis
Li, J., Sun, S., Tang, R., Qiu, H., Huang, Q., Mason, T., & Tian, L. (2016) · International Journal of Chronic Obstructive Pulmonary Disease · doi:10.2147/copd.s122282 · Cited by 283
Smith, L. A., Oakden-Rayner, L., Bird, A., Zeng, M., To, M.-S., Mukherjee, S., & Palmer, L. J. (2023) · The Lancet Digital Health · doi:10.1016/s2589-7500(23)00177-2 · Cited by 116
Talboom-Kamp, E. P. W. A., Verdijk, N. A., Kasteleyn, M. J., Numans, M. E., & Chavannes, N. H. (2018) · Clinical eHealth · doi:10.1016/j.ceh.2018.01.001 · Cited by 86
Metadata
- Authors
- López‐Campos, J. L., Tan, W., & Soriano, J. B.
- Venue
- Respirology
- Publisher
- Wiley
- Published
- 2015-10-23
- Volume
- 21
- Issue
- 1
- Pages
- 14-23
- ISSN
- 1323-7799 (ISSN-L)
- 1440-1843
- OpenAlex
- W2111374619
- Cited by
- 927
- References
- 5
- FWCI
- 34.01
- Type
- journal article
- Language
- en
- Open access
- green
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: Global burden of COPD. https://app.cochat.ai/papers/10.1111/resp.12660
- The paper
- López‐Campos, J. L., Tan, W., & Soriano, J. B. (2016). Global burden of COPD. Respirology. https://doi.org/10.1111/resp.12660
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.