The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure
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Citations
Cites
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
The natural history of congestive heart failure: the Framingham study
McKee, P. A., Castelli, W. P., McNamara, P. M., & Kannel, W. B. (1971) · New England Journal of Medicine · doi:10.1056/nejm197112232852601 · Cited by 3,448
History of the Rochester Epidemiology Project
Melton, L. J. (1996) · Mayo Clinic Proceedings · doi:10.4065/71.3.266 · Cited by 1,443
COLDITZ, G. A., MARTIN, P., STAMPFER, M. J., WILLETT, W. C., SAMPSON, L., ROSNER, B., HENNEKENS, C. H., & SPEIZER, F. E. (1986) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114319 · Cited by 992 · cited 7×
“In general, self-reports on medical conditions that are well defined and relatively easily diagnosed have good agreement, in contrast to conditions characterized by complex nonspecific symptoms [7].”
BackgroundMethodInfluentialComparing self-reported and physician-reported medical history
Kehoe, R., Wu, S.-Y., Leske, M. C., & Chylack, L. T. (1994) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a117078 · Cited by 441
Vargas, C. M., Burt, V. L., Gillum, R. F., & Pamuk, E. R. (1997) · Preventive Medicine · doi:10.1006/pmed.1997.0190 · Cited by 269 · cited 4×
“The form of analysis and presentation of findings also varies among studies: Some authors focused on subjects who reported the presence of disease and those who denied disease [1–6,8–12,14,15,18,19], whereas”
BackgroundMethodInfluential
Cited by
Zhou, B., Carrillo-Larco, R. M., Danaei, G., Riley, L. M., Paciorek, C. J., Stevens, G. A., Gregg, E. W., Bennett, J. E., Solomon, B., Singleton, R. K., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)01330-1 · Cited by 3,902
Information bias in health research: definition, pitfalls, and adjustment methods
Althubaiti, A. (2016) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s104807 · Cited by 3,018
Economic Costs of Diabetes in the U.S. in 2017
American Diabetes Association (2018) · Diabetes Care · doi:10.2337/dci18-0007 · Cited by 2,528
Economic costs of diabetes in the U.S. in 2007
American Diabetes Association (2008) · Diabetes Care · doi:10.2337/dc08-9017 · Cited by 1,323
Yusuf, S., Islam, S., Chow, C. K., Rangarajan, S., Dagenais, G., Diaz, R., Gupta, R., Kelishadi, R., Iqbal, R., Avezum, A., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)61215-4 · Cited by 964
Metadata
- Authors
- Okura, Y., Urban, L. H., Mahoney, D. W., Jacobsen, S. J., & Rodeheffer, R. J.
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2004-10
- Volume
- 57
- Issue
- 10
- Pages
- 1096-1103
- ISSN
- 0895-4356 (ISSN-L)
- OpenAlex
- W1975202701
- Cited by
- 1,234
- References
- 6
- FWCI
- 82.31
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. https://app.cochat.ai/papers/10.1016/j.jclinepi.2004.04.005
- The paper
- Okura, Y., Urban, L. H., Mahoney, D. W., Jacobsen, S. J., & Rodeheffer, R. J. (2004). Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2004.04.005
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.