Consistency of primary brain tumor diagnoses and codes in cancer surveillance systems
| Autor: | Darell D. Bigner, Stephen Coons, Monette S. Castillo, Sandra H. Bigner, Tanya S. Surawicz, Faith G. Davis, Janet M. Bruner |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Oncology
medicine.medical_specialty Surveillance data Epidemiology business.industry Brain Neoplasms Brain tumor Cancer Reproducibility of Results medicine.disease United States Surgery Cancer registry Consistency (statistics) International Classification of Diseases Internal medicine Population Surveillance medicine Humans Neurology (clinical) Registries Medical diagnosis business |
| Zdroj: | Neuroepidemiology. 23(1-2) |
| ISSN: | 0251-5350 |
| Popis: | High-quality cancer registry data are essential for assessing trends in incidence rates. This study evaluated the consistency of brain tumor surveillance data using a random sample of cases from the Connecticut Tumor Registry. Three neuropathologists independently and blindly reviewed tumor slides from 204 cases and a nosologist blindly reviewed and assigned International Classification of Diseases for Oncology (ICD-O) codes to 326 cases. For the pathology review, absolute concordance was as high as 81% for all primary brain tumors. Absolute concordance rates were high for nerve sheath (89%), meningioma (95%), and pituitary (95%) tumors. Rates were much lower for malignant tumors. ICD-O coding of malignant brain tumors is of relatively high quality with the exception of mixed gliomas and unspecified tumors. A high level of consistency for nonmalignant brain tumor diagnoses suggests that rates for these tumors, when actively reported to a surveillance system, can be of high quality. |
| Databáze: | OpenAIRE |
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