title: Incidence of haematological malignancy by sub-type: a report from the Haematological Malignancy Research Network.
abstract: BACKGROUND
  Ascertainment of cases and disease classification is an acknowledged problem for epidemiological research into haematological malignancies.
  
  
  METHODS
  The Haematological Malignancy Research Network comprises an ongoing population-based patient cohort. All diagnoses (paediatric and adult) across two UK Cancer Networks (population 3.6 million, >2000 diagnoses annually, socio-demographically representative of the UK) are made by an integrated haematopathology laboratory. Diagnostics, prognostics, and treatment are recorded to clinical trial standards, and socio-demographic measures are routinely obtained.
  
  
  RESULTS
  A total of 10,729 haematological malignancies (myeloid=2706, lymphoid=8023) were diagnosed over the 5 years, that is, from 2004 to 2009. Descriptive data (age, sex, and deprivation), sex-specific age-standardised (European population) rates, and estimated UK frequencies are presented for 24 sub-types. The age of patients ranged from 4 weeks to 99 years (median 70.6 years), and the male rate was more than double the female rate for several myeloid and lymphoid sub-types, this difference being evident in both children and adults. No relationship with deprivation was detected.
  
  
  CONCLUSIONS
  Accurate population-based data on haematological malignancies can be collected to the standard required to deliver reproducible results that can be extrapolated to national populations. Our analyses emphasise the importance of gender and age as disease determinants, and suggest that aetiological investigations that focus on socio-economic factors are unlikely to be rewarding.
authors: Epidemiology and Genetics Unit, Department of Health Sciences, University of York, York, UK. alex.smith@egu.york.ac.uk
authors: A
authors: A
authors: Smith
authors: D
authors: D
authors: Howell
authors: R
authors: R
authors: Patmore
authors: A
authors: A
authors: Jack
authors: E
authors: E
authors: Roman
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D015331:Cohort Studies; D016021:Epidemiologic Studies; D005260:Female; D006302:Health Services Research / Q000379:methods; D019337:Hematologic Neoplasms / Q000145:classification* / Q000453:epidemiology* / Q000473:pathology; D006801:Humans; D007223:Infant; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D012737:Sex Factors; D006113:United Kingdom / Q000453:epidemiology; D055815:Young Adult