PubMed · 9387807
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J P Cunnington, G R Norman. 1997. Obstacles to identifying valid performance predictors.. https://doi.org/10.1097/00001888-199711000-00001
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In this study, we report the coding-complete genome sequence of Grapevine leafroll-associated virus 13 (GLRaV-13), isolate CA8881, detected in Vitis vinifera in California, USA. The genome sequence exhibited over 95% nucleotide identity with previously reported GLRaV-13 isolates and contributed to better understanding of the genetic diversity of ampeloviruses infecting grapevine.
The accuracy of ethnic classification can substantially affect ethnic-specific cancer statistics. In the Greater Bay Area Cancer Registry, which is part of the Surveillance, Epidemiology, and End Results (SEER) Program and of the statewide California Cancer Registry, Hispanic ethnicity is determined by medical record review and by matching to surname lists. This study compared these classification methods with self-report. Ethnic self-identification was obtained by surveying 1,154 area residents aged 20-89 years who were diagnosed with cancer in 1990 and were reported to the registry as being Hispanic or White non-Hispanic. Predictive value positive, sensitivity, and relative bias were used to assess the accuracy of Hispanic classification by medical record and surname. Among those persons classified as Hispanic by either or both of these sources, only two-thirds agreed (predictive value positive = 66%), and many self-identified Hispanics were classified incorrectly (sensitivity = 68%). Classification based on either medical record or surname alone had a lower sensitivity (59% and 61%, respectively) but a higher predictive value positive (77% and 70%, respectively). Ethnic classification by medical record alone resulted in an underestimate of Hispanic cancer cases and incidence rates. Bias was reduced when medical records and surnames were used together to classify cancer cases as Hispanic.
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