The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Long-Term Adherence to Evidence-Based Secondary Prevention Therapies in Coronary Artery Disease
Open accessAbstract
Background— Studies have examined the use of evidence-based therapies for coronary artery disease (CAD) in the short term and at hospital discharge, but few have evaluated long-term use. Methods and Results— Using the Duke Databank for Cardiovascular Disease for the years 1995 to 2002, we determined the annual prevalence and consistency of self-reported use of aspirin, β-blockers, lipid-lowering agents, and their combinations in all CAD patients and of angiotensin-converting enzyme inhibitors (ACEIs) in those with and without heart failure. Logistic-regression models identified characteristics associated with consistent use (reported on ≥2 consecutive follow-up surveys and then through death, withdrawal, or study end), and Cox proportional-hazards models explored the association of consistent use with mortality. Use of all agents and combinations thereof increased yearly. In 2002, 83% reported aspirin use; 61%, β-blocker use; 63%, lipid-lowering therapy use; 54%, aspirin and β-blocker use; and 39%, use of all 3. Consistent use was as follows: For aspirin, 71%; β-blockers, 46%; lipid-lowering therapy, 44%; aspirin and β-blockers, 36%; and all 3, 21%. Among patients without heart failure, 39% reported ACEI use in 2002; consistent use was 20%. Among heart failure patients, ACEI use was 51% in 2002 and consistent use, 39%. Except for ACEIs among patients without heart failure, consistent use was associated with lower adjusted mortality: Aspirin hazard ratio (HR), 0.58 and 95% confidence interval (CI), 0.54 to 0.62; β-blockers, HR, 0.63 and 95% CI, 0.59 to 0.67; lipid-lowering therapy, HR, 0.52 and 95% CI, 0.42 to 0.65; all 3, HR, 0.67 and 95% CI, 0.59 to 0.77; aspirin and β-blockers, HR, 0.61 and 95% CI, 0.57 to 0.65; and ACEIs among heart failure patients, HR, 0.75 and 95% CI, 0.67 to 0.84. Conclusions— Use of evidence-based therapies for CAD has improved but remains suboptimal. Although improved discharge prescription of these agents is needed, considerable attention must also be focused on understanding and improving long-term adherence.
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
Garber, M. C., Nau, D. P., Erickson, S. R., Aikens, J. E., & Lawrence, J. B. (2004) · Medical Care · doi:10.1097/01.mlr.0000129496.05898.02 · Cited by 519
Cited by
Medication Adherence: WHO Cares?
Brown, M. T., & Bussell, J. K. (2011) · Mayo Clinic Proceedings · doi:10.4065/mcp.2010.0575 · Cited by 1,928
Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001362 · Cited by 1,766
“Health care consumers decide whether to adhere to prescribed medication and determine when they seek health care [11].”
Medication Adherence: Its Importance in Cardiovascular Outcomes
Ho, P. M., Bryson, C. L., & Rumsfeld, J. S. (2009) · Circulation · doi:10.1161/circulationaha.108.768986 · Cited by 1,488
Rasmussen, J. N., Chong, A., & Alter, D. A. (2007) · JAMA · doi:10.1001/jama.297.2.177 · Cited by 975
Biondi-Zoccai, G. G. L., Lotrionte, M., Agostoni, P., Abbate, A., Fusaro, M., Burzotta, F., Testa, L., Sheiban, I., & Sangiorgi, G. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehl334 · Cited by 733
Metadata
- Authors
- Newby, L. K., Allen LaPointe, N. M., Chen, A. Y., Kramer, J. M., Hammill, B. G., DeLong, E. R., Muhlbaier, L. H., & Califf, R. M.
- Venue
- Circulation
- Published
- 2006-01-17
- Volume
- 113
- Issue
- 2
- Pages
- 203-212
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2130321587
- Cited by
- 505
- References
- 1
- FWCI
- 25.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Long-Term Adherence to Evidence-Based Secondary Prevention Therapies in Coronary Artery Disease. https://app.cochat.ai/papers/10.1161/circulationaha.105.505636
- The paper
- Newby, L. K., Allen LaPointe, N. M., Chen, A. Y., Kramer, J. M., Hammill, B. G., DeLong, E. R., Muhlbaier, L. H., & Califf, R. M. (2006). Long-Term Adherence to Evidence-Based Secondary Prevention Therapies in Coronary Artery Disease. Circulation. https://doi.org/10.1161/circulationaha.105.505636
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.