The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Implications of the Use of Algorithmic Diagnoses or Medicare Claims to Ascertain Dementia
Abstract
Introduction: Formal dementia ascertainment with research criteria is resource-intensive, prompting the growing use of alternative approaches. Our objective was to illustrate the potential bias and implications for study conclusions introduced through the use of alternate dementia ascertainment approaches. Methods: We compared dementia prevalence and risk factor associations obtained using criterion-standard dementia diagnoses to those obtained using algorithmic or Medicare-based dementia ascertainment in participants of the baseline visit of the Aging, Demographics, and Memory Study (ADAMS), a Health and Retirement Study (HRS) sub-study. Results: Estimates of dementia prevalence derived using algorithmic or Medicare-based ascertainment differ substantially from those obtained using criterion-standard ascertainment. Use of algorithmic or Medicare-based dementia ascertainment can, but does not always, lead to risk factor associations that substantially differ from those obtained using criterion-standard ascertainment. Discussion/Conclusions: Absolute estimates of dementia prevalence should rely on samples with formal dementia ascertainment. The use of multiple algorithms is recommended for risk factor studies when formal dementia ascertainment is not available.
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“This differential misclassification has been shown to lead to biased measures of association of other factors with dementia, even after adjustment for key covariates (Power et al. 2020).”
From Exposure to Air Pollution in Relation to Risk of Dementia and Related Outcomes: An Updated Systematic Review of the Epidemiological Literature (2021) · cites this paper as Power et al. 2020
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“Rates of dementia underdiagnosis differ by race/ethnicity (Gianattasio et al. 2019) as well as health status and other sociodemographic factors (Power et al. 2020).”
From Exposure to Air Pollution in Relation to Risk of Dementia and Related Outcomes: An Updated Systematic Review of the Epidemiological Literature (2021) · cites this paper as Power et al. 2020
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Cites
Monetary Costs of Dementia in the United States
Hurd, M. D., Martorell, P., Delavande, A., Mullen, K. J., & Langa, K. M. (2013) · New England Journal of Medicine · doi:10.1056/nejmsa1204629 · Cited by 1,484
Incidence of dementia over three decades in the Framingham heart study
Satizabal, C. L., Beiser, A. S., Chouraki, V., Chêne, G., Dufouil, C., & Seshadri, S. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1504327 · Cited by 1,051
Dementia and Alzheimer Disease Incidence: A Prospective Cohort Study
Kukull, W. A., Higdon, R., Bowen, J. D., McCormick, W. C., Teri, L., Schellenberg, G. D., van Belle, G., Jolley, L., & Larson, E. B. (2002) · Archives of Neurology · doi:10.1001/archneur.59.11.1737 · Cited by 806
Traffic-related air pollution and dementia incidence in northern Sweden: a longitudinal study
Oudin, A., Forsberg, B., Adolfsson, A. N., Lind, N., Modig, L., Nordin, M., Nordin, S., Adolfsson, R., & Nilsson, L.-G. (2016) · Environmental Health Perspectives · doi:10.1289/ehp.1408322 · Cited by 358
Chen, Y., Tysinger, B., Crimmins, E., & Zissimopoulos, J. M. (2019) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2019.04.003 · Cited by 129
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Manly, J. J., Jones, R. N., Langa, K. M., Ryan, L. H., Levine, D. A., McCammon, R., Heeringa, S. G., & Weir, D. (2022) · JAMA Neurology · doi:10.1001/jamaneurol.2022.3543 · Cited by 560
Weuve, J., Bennett, E. E., Ranker, L., Gianattasio, K. Z., Pedde, M., Adar, S. D., Yanosky, J. D., & Power, M. C. (2021) · Environmental Health Perspectives · doi:10.1289/ehp8716 · Cited by 209
Self-citationGrodstein, F., Chang, C.-H., Capuano, A. W., Power, M. C., Marquez, D. X., Barnes, L. L., Bennett, D. A., James, B. D., & Bynum, J. P. W. (2022) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glab377 · Cited by 132
Self-citationGrodstein, F., James, B. D., Chen, Y., Capuano, A. W., Power, M. C., Bennett, D. A., Bynum, J. P. W., & Barnes, L. L. (2024) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glad235 · Cited by 11
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Metadata
- Authors
- Power, M. C., Gianattasio, K. Z., & Ciarleglio, A.
- Venue
- Neuroepidemiology
- Publisher
- S. Karger AG
- Published
- 2020
- Volume
- 54
- Issue
- 6
- Pages
- 462-471
- ISSN
- 0251-5350
- 1423-0208
- PMC
- PMC7725984
- Cited by
- 21
- References
- 5
- Language
- en
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