title: Misclassification of sex in central cancer registries.
abstract: BACKGROUND
  Intrarecord edits on site-sex combinations are a standard tool to identify errors in the coding of sex in cancer registry data. However, the percentage of sex-specific cancers, like cervix, is low (20 percent of total invasive cases). Visual review and follow-back to improve the quality of the sex coding is labor intensive and typically only performed as a special project on subsets of data. The New York State Cancer Registry (NYSCR) created an edit for identifying potential sex misclassification in cancer registry data and has made its components available for use through the North American Association of Central Cancer Registries (NAACCR). The edit uses the most popular male and female first names based on decade of birth to identify potentially miscoded cases. This paper provides a summary of 3 independently conducted assessments of the sex edit at the central cancer registry level and includes a focus on misclassification of sex for breast cancer.
  
  
  METHODS
  The sex edit was applied in 3 state cancer registries: Alabama, Alaska, and Florida. Alabama applied the edit to their entire database for 1996-2004 (N = 190,614) and compared the results to external databases available to most cancer registries. Alaska applied the edit to their entire database (N = 46,645) and were able to compare the results to 2 unique, state-based databases (Alaska Permanent Fund Dividend database and State Troopers database). Florida applied the sex edit to a sample of sites (n = 953,074) with particular attention to breast cancer. RESULTS for breast cases were compared to results from an a priori quality control project on Florida male breast cancer cases. Using the Florida data, issues specific to male breast cancer were evaluated.
  
  
  RESULTS
  In Alabama, 45 percent of 977 cases flagged as potentially miscoded sex were determined to be miscodes. In Alaska, 19 percent of 88 cases flagged as potentially miscoded sex were determined to be miscodes but the percent of miscoded cases identified by the edit more than doubled in the most recent years of data. For the Florida male breast cancer comparison, the sex edit correctly identified 729 of 903 cases known to be miscoded (81 percent) and was unable to assign a potential sex on the remaining 174 cases-but did not incorrectly flag any cases as miscodes.
  
  
  CONCLUSIONS
  The sex edit is a useful tool for identifying cases that require further review to confirm the reported sex code is correct. However, it only assesses 69 percent to 84 percent of cases based on name and, of those flagged, only 19 percent to 45 percent are true misclassifications. But for breast cancer, a site with a skewed male to female ratio, the verified misclassification rate was 100 percent of the male breast cancer cases flagged as potential females. The proper application of the sex edit can improve the quality of the sex variable and can greatly reduce the impact of miscoded sex on gender-skewed sites like male breast cancer.
authors.forename: Recinda L
authors.initials: RL
authors.lastname: Sherman
authors.forename: Francis P
authors.initials: FP
authors.lastname: Boscoe
authors.forename: David K
authors.initials: DK
authors.lastname: O'Brien
authors.forename: Justin T
authors.initials: JT
authors.lastname: George
authors.forename: Kevin A
authors.initials: KA
authors.lastname: Henry
authors.forename: Laura E
authors.initials: LE
authors.lastname: Soloway
authors.forename: David J
authors.initials: DJ
authors.lastname: Lee
mesh_terms: D001943:Breast Neoplasms / Q000453:epidemiology* / Q000208:ethnology; D018567:Breast Neoplasms, Male / Q000453:epidemiology; D005006:Ethnicity; D005260:Female; D006801:Humans; D008297:Male; D011786:Quality Control; D012042:Registries / Q000706:statistics & numerical data*; D012107:Research Design; D017678:Sex Distribution; D014481:United States / Q000453:epidemiology