title: Underreporting of myeloid malignancies by United States cancer registries.
abstract: BACKGROUND
  The recent decrease in myeloid leukemia incidence may be directly attributed to changes in the population-based cancer registries 2001 guidelines, which required the capture of only one malignancy in the myeloid lineage per person and the simultaneous adoption of myelodysplastic syndrome registration in the United States.
  
  
  METHODS
  We constructed four claims-based algorithms to assess myeloid leukemia incidence, applied the algorithms to the 1999-2008 Surveillance Epidemiology and End Results (SEER)-Medicare database, and assessed algorithm validity using SEER-registered cases.
  
  
  RESULTS
  Each had moderate sensitivities (75%-94%) and high specificities (>99.0%), with the 2+BCBM algorithm showing the highest specificity. On the basis of the 2+BCBM algorithm, SEER registered only 50% of the acute myelogenous leukemia cases and a third of the chronic myelogenous leukemia (CML) cases. The annual incidence of myeloid leukemia in 2005 was 26 per 100,000 persons 66 years or older, much higher than the 15 per 100,000 reported by SEER using the same sample.
  
  
  CONCLUSIONS
  Our findings suggest underreporting of myeloid leukemias in SEER by a magnitude of 50% to 70% as well as validate and support the use of the 2+BCBM claims algorithm in identifying myeloid leukemia cases. Use of this algorithm identified a high number of uncaptured myeloid leukemia cases, particularly CML cases.
  
  
  CONCLUSIONS
  Our results call for the commitment of more resources for centralized cancer registries so that they may improve myeloid leukemia case ascertainment, which would empower policy makers with ability to properly allocate limited health care resources.
authors.affiliation: H.Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA. benjamin.craig@moffitt.org
authors.forename: Benjamin M
authors.initials: BM
authors.lastname: Craig
authors.forename: Dana E
authors.initials: DE
authors.lastname: Rollison
authors.forename: Alan F
authors.initials: AF
authors.lastname: List
authors.forename: Christopher R
authors.initials: CR
authors.lastname: Cogle
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D015982:Bias; D003625:Data Collection / Q000592:standards*; D005260:Female; D006801:Humans; D015994:Incidence; D007345:Insurance Claim Review; D007951:Leukemia, Myeloid / Q000453:epidemiology*; D008297:Male; D006278:Medicare; D009190:Myelodysplastic Syndromes / Q000453:epidemiology*; D009196:Myeloproliferative Disorders / Q000453:epidemiology*; D012189:Retrospective Studies; D018570:Risk Assessment; D018426:SEER Program; D012680:Sensitivity and Specificity; D014481:United States / Q000453:epidemiology