Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10908762 | Leukemia Research | 2014 | 5 Pages |
Abstract
The myelodysplastic syndromes (MDS) are often diagnosed in outpatient clinics and may be under-reported to state cancer registries, which predominantly rely on hospital records and laboratory reports. We used a new method of cancer case capture to determine the rate of missed cases and estimate a more accurate incidence of MDS. Using a unique keyword algorithm, we queried all electronic pathology (E-path) reports sent to the state of Florida cancer registry in 2006 to identify potential MDS cases. A stratified, random sample of E-path reports was then reviewed to confirm diagnosis and assign MDS subtype. Characteristics were compared between captured and uncaptured MDS cases. 7111 E-path reports with MDS keyword hits were identified, of which only 18% linked to a registered MDS case, 47% linked to a different cancer, and 34% did not link with any record. Case review of a stratified, random sampling of 285 individuals led to the discovery that uncaptured cases made up 37.7% of the total true MDS cases in 2006. It is estimated that the true incidence of MDS is 5.3 individuals out of 100,000, compared to previous reports of 3.3 out of 100,000. Uncaptured MDS cases were younger and more likely to have information in the pathology report facilitating MDS subtype assignment. Only two-thirds of true MDS cases are captured in Florida using current case-finding mechanisms. Application of a keyword search strategy to identify cases among E-path reports is a feasible technique to improve MDS case ascertainment.
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Authors
Christopher R. Cogle, Michelle R. Iannacone, Daohai Yu, Ashley L. Cole, Iman Imanirad, Lulu Yan, Jill A. MacKinnon, Alan F. List, Dana E. Rollison,