Paediatric malignant tumours of the gastrointestinal tract in the West Midlands, UK, 1957-2000: a large population based survey.
BACKGROUND
To investigate the incidence, clinical characteristics and survival of malignant tumours of the gastrointestinal tract in children in the West Midlands in Britain over a 44-year span time, to identify any change over this period and to compare the data with the world literature.


METHODS
Retrospective population based study. Fifty-seven patients were identified from the records of the West Midlands Regional Children's Tumour Registry. Age-standardised incidence rates were calculated using the world standardised population method. Statistical tests used were the Log rank test and survival curves were produced using the Kaplan-Meier method.


RESULTS
The age-standardised incidence of overall gut tumours during the period 1957-2000 was 1.10/million/year. The age standardised incidence of non-Hodgkin lymphoma (NHL) was calculated as 0.9/million/year and for adenocarcinoma 0.14/million/year.


CONCLUSIONS
Malignant tumours of the gastrointestinal tract remain rare in children. No changing trends in incidence were observed over the 44-year period. NHL was the commonest malignancy overall and of the small bowel while equal number of adenocarcinoma and NHL were identified in the large bowel. There was no significant difference in survival between sexes, site and age groups in both NHL and adenocarcinoma. Survival has improved over the last four decades for NHL patients but remains poor for the adenocarcinoma patients.
Hameed
R
R
Department of Oncology, Birmingham Children's Hospital, Steelhouse Lane, B4 6NH, United Kingdom. jrhbrown@ozoline.com.au
Parkes
Sheila
S
Davies
P
P
Morland
B J
BJ
D000293:Adolescent; D002648:Child; D002675:Child, Preschool; D003625:Data Collection; D004739:England; D005260:Female; D005770:Gastrointestinal Neoplasms / Q000175:diagnosis / Q000453:epidemiology* / Q000401:mortality; D006801:Humans; D015994:Incidence; D008297:Male; D009928:Organ Specificity; D016019:Survival Analysis