The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Quantifying the proportion of severe asthma exacerbations attributable to inhaled corticosteroid nonadherence
Open accessAbstract
Background Asthma is an inflammatory condition often punctuated by episodic symptomatic worsening, and accordingly, individuals with asthma may have waxing and waning adherence to controller therapy. Objective To measure changes in inhaled corticosteroid (ICS) adherence over time, and to estimate the effect of this changing pattern of use on asthma exacerbations. Methods ICS adherence was estimated from electronic prescription and fill information for 298 participants in the Study of Asthma Phenotypes and Pharmacogenomic Interactions by Race-ethnicity (SAPPHIRE). For each individual we calculated a moving average of ICS adherence for each day of follow-up. Asthma exacerbations were defined as the need for oral corticosteroids, an asthma-related emergency department visit, or an asthma-related hospitalization. Proportional hazard models were used to assess the relationship between ICS medication adherence and asthma exacerbations. Results Adherence to ICS medications began to increase prior to the first asthma exacerbation and continued afterward. Adherence was associated with a reduction in exacerbations, but was only statistically significant among individuals whose adherence was >75% of the prescribed dose (hazard ratio [HR] 0.61; 95% confidence interval [CI] 0.41–0.90) when compared with individuals whose adherence was ≤25%. This pattern was largely confined to individuals whose asthma was not well controlled initially. An estimated 24% of asthma exacerbations were attributable to ICS medication non-adherence. Conclusions Inhaled corticosteroid adherence varies in the time period leading up to and following an asthma exacerbation, and non-adherence likely contributes to a large number of these exacerbations. High levels of adherence are likely required to prevent these events. [ClinicalTrials.gov number NCT01142947]
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
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
Cox’s regression model for counting processes: A large sample study
Andersen, P. K., & Gill, R. D. (1982) · The Annals of Statistics · doi:10.1214/aos/1176345976 · Cited by 4,419
Spirometric Reference Values from a Sample of the General U.S. Population
HANKINSON, J. L., ODENCRANTZ, J. R., & FEDAN, K. B. (1999) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.159.1.9712108 · Cited by 4,206
Expert Panel Report 2: Guidelines for the Diagnosis and Management of Asthma
Program, P., & theDiagnosis, T. E. P. O. (1997) · Cited by 4,083
Development of the asthma control test
Nathan, R. A., Sorkness, C. A., Kosinski, M., Schatz, M., Li, J. T., Marcus, P., Murray, J. J., & Pendergraft, T. B. (2004) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2003.09.008 · Cited by 2,906
(2007) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2007.09.029 · Cited by 2,181
General considerations for lung function testing
Miller, M. R., Crapo, R., Hankinson, J., Brusasco, V., Burgos, F., Casaburi, R., Coates, A., Enright, P., Grinten, C. P. M. V. D., Gustafsson, P., et al. (2005) · European Respiratory Journal · doi:10.1183/09031936.05.00034505 · Cited by 2,026
Reddel, H. K., Taylor, D. R., Bateman, E. D., Boulet, L.-P., Boushey, H. A., Busse, W. W., Casale, T. B., Chanez, P., Enright, P. L., Gibson, P. G., et al. (2009) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200801-060st · Cited by 1,918
Covariance Analysis of Censored Survival Data
Breslow, N. (1974) · Biometrics · doi:10.2307/2529620 · Cited by 1,763
Long-Term Effects of Budesonide or Nedocromil in Children with Asthma
(2000) · New England Journal of Medicine · doi:10.1056/nejm200010123431501 · Cited by 1,365
Cited by
A summary of the new GINA strategy: a roadmap to asthma control
Reddel, H. K., Bateman, E. D., Becker, A., Boulet, L.-P., Cruz, A. A., Drazen, J. M., Haahtela, T., Hurd, S. S., Inoue, H., de Jongste, J. C., et al. (2015) · European Respiratory Journal · doi:10.1183/13993003.00853-2015 · Cited by 788
Adherence to inhaled therapies, health outcomes and costs in patients with asthma and COPD
Mäkelä, M. J., Backer, V., Hedegaard, M., & Larsson, K. (2013) · Respiratory Medicine · doi:10.1016/j.rmed.2013.04.005 · Cited by 485
Chan, A. H. Y., Stewart, A. W., Harrison, J., Camargo, C. A., Black, P. N., & Mitchell, E. A. (2015) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(15)00008-9 · Cited by 265
Digital interventions to improve adherence to maintenance medication in asthma
Chan, A., De Simoni, A., Wileman, V., Holliday, L., Newby, C. J., Chisari, C., Ali, S., Zhu, N., Padakanti, P., Pinprachanan, V., et al. (2022) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013030.pub2 · Cited by 105
Improving adherence to asthma medications: current knowledge and future perspectives
Blake, K. V. (2017) · Current Opinion in Pulmonary Medicine · doi:10.1097/mcp.0000000000000334 · Cited by 40
Metadata
- Authors
- Williams, L. K., Peterson, E. L., Wells, K., Ahmedani, B. K., Kumar, R., Burchard, E. G., Chowdhry, V. K., Favro, D., Lanfear, D. E., & Pladevall, M.
- Venue
- Journal of Allergy and Clinical Immunology
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 128
- Issue
- 6
- Pages
- 1185-1191.e2
- ISSN
- 0091-6749 (ISSN-L)
- OpenAlex
- W2062940257
- Cited by
- 347
- References
- 42
- FWCI
- 19.88
- 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: Quantifying the proportion of severe asthma exacerbations attributable to inhaled corticosteroid nonadherence. https://app.cochat.ai/papers/10.1016/j.jaci.2011.09.011
- The paper
- Williams, L. K., Peterson, E. L., Wells, K., Ahmedani, B. K., Kumar, R., Burchard, E. G., Chowdhry, V. K., Favro, D., Lanfear, D. E., & Pladevall, M. (2011). Quantifying the proportion of severe asthma exacerbations attributable to inhaled corticosteroid nonadherence. Journal of Allergy and Clinical Immunology. https://doi.org/10.1016/j.jaci.2011.09.011
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.