The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
A systematic review of validated methods for identifying cerebrovascular accident or transient ischemic attack using administrative data
Open accessAbstract
Purpose: To perform a systematic review of the validity of algorithms for identifying cerebrovascular accidents (CVAs) or transient ischemic attacks (TIAs) using administrative and claims data. Methods: PubMed and Iowa Drug Information Service searches of the English language literature were performed to identify studies published between 1990 and 2010 that evaluated the validity of algorithms for identifying CVAs (ischemic and hemorrhagic strokes, intracranial hemorrhage, and subarachnoid hemorrhage) and/or TIAs in administrative data. Two study investigators independently reviewed the abstracts and articles to determine relevant studies according to pre‐specified criteria. Results: A total of 35 articles met the criteria for evaluation. Of these, 26 articles provided data to evaluate the validity of stroke, seven reported the validity of TIA, five reported the validity of intracranial bleeds (intracerebral hemorrhage and subarachnoid hemorrhage), and 10 studies reported the validity of algorithms to identify the composite endpoints of stroke/TIA or cerebrovascular disease. Positive predictive values (PPVs) varied depending on the specific outcomes and algorithms evaluated. Specific algorithms to evaluate the presence of stroke and intracranial bleeds were found to have high PPVs (80% or greater). Algorithms to evaluate TIAs in adult populations were generally found to have PPVs of 70% or greater. Conclusions: The algorithms and definitions to identify CVAs and TIAs using administrative and claims data differ greatly in the published literature. The choice of the algorithm employed should be determined by the stroke subtype of interest. Copyright © 2012 John Wiley & Sons, Ltd.
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Cites
WHO MONICA Project Principal Invest (1988) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(88)90084-4 · Cited by 1,794
Kornitzer, M., Berghmans, L., Wilmet, M. D., Darquennes, H., Lagasse, R., & Payen, R. (1988) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · Cited by 1,270
Rosamond, W. D., Folsom, A. R., Chambless, L. E., Wang, C.-H., McGovern, P. G., Howard, G., Copper, L. S., & Shahar, E. (1999) · Stroke · doi:10.1161/01.str.30.4.736 · Cited by 811
Broderick, J., Brott, T., Kothari, R., Miller, R., Khoury, J., Pancioli, A., Gebel, J., Mills, D., Minneci, L., & Shukla, R. (1998) · Stroke · doi:10.1161/01.str.29.2.415 · Cited by 752
Kokotailo, R. A., & Hill, M. D. (2005) · Stroke · doi:10.1161/01.str.0000174293.17959.a1 · Cited by 709
Surveillance and ascertainment of cardiovascular events
Ives, D. G., Fitzpatrick, A. L., Bild, D. E., Psaty, B. M., Kuller, L. H., Crowley, P. M., Cruise, R. G., & Theroux, S. (1995) · Annals of Epidemiology · doi:10.1016/1047-2797(94)00093-9 · Cited by 688
Validating Administrative Data in Stroke Research
Tirschwell, D. L., & Longstreth, W. T. (2002) · Stroke · doi:10.1161/01.str.0000032240.28636.bd · Cited by 658
Jollis, J. G., Ancukiewicz, M., DeLong, E. R., Pryor, D. B., Muhlbaier, L. H., & Mark, D. B. (1993) · Annals of Internal Medicine · doi:10.7326/0003-4819-119-8-199310150-00011 · Cited by 625
Effects of admission hyperglycemia on mortality and costs in acute ischemic stroke
Williams, L. S., Rotich, J., Qi, R., Fineberg, N., Espay, A., Bruno, A., Fineberg, S. E., & Tierney, W. R. (2002) · Neurology · doi:10.1212/wnl.59.1.67 · Cited by 476
Goldstein, L. B. (1998) · Stroke · doi:10.1161/01.str.29.8.1602 · Cited by 408
Cited by
Validity of diagnostic codes for acute stroke in administrative databases: a systematic review.
McCormick, N., Bhole, V., Lacaille, D., & Avina-Zubieta, J. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0135834 · Cited by 414
Woodfield, R., Grant, I., UK Biobank Stroke Outcomes Group, UK Biobank Follow-Up and Outcomes Working Group, & Sudlow, C. L. M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0140533 · Cited by 145
Krüger, N., Schneeweiss, S., Desai, R. J., Sreedhara, S. K., Kehoe, A. R., Fuse, K., Hahn, G., Schunkert, H., & Wang, S. V. (2026) · Nature Medicine · doi:10.1038/s41591-025-04102-x · Cited by 48
Lutsey, P. L., Zakai, N. A., MacLehose, R. F., Norby, F. L., Walker, R. F., Roetker, N. S., Adam, T. J., & Alonso, A. (2019) · British Journal of Haematology · doi:10.1111/bjh.15857 · Cited by 47
Khera, R., Schuemie, M. J., Lu, Y., Ostropolets, A., Chen, R., Hripcsak, G., Ryan, P. B., Krumholz, H. M., & Suchard, M. A. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-057977 · Cited by 37
Metadata
- Authors
- Andrade, S. E., Harrold, L. R., Tjia, J., Cutrona, S. L., Saczynski, J. S., Dodd, K. S., Goldberg, R. J., & Gurwitz, J. H.
- Venue
- Pharmacoepidemiology and Drug Safety
- Publisher
- Wiley
- Published
- 2012-01
- Volume
- 21
- Issue
- S1
- Pages
- 100-128
- ISSN
- 1053-8569 (ISSN-L)
- 1099-1557
- OpenAlex
- W1504207271
- Cited by
- 268
- References
- 42
- FWCI
- 2.72
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Andrade, S. E., Harrold, L. R., Tjia, J., Cutrona, S. L., Saczynski, J. S., Dodd, K. S., Goldberg, R. J., & Gurwitz, J. H. (2012). A systematic review of validated methods for identifying cerebrovascular accident or transient ischemic attack using administrative data. Pharmacoepidemiology and Drug Safety. https://doi.org/10.1002/pds.2312
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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