2006
DOI: 10.1186/1478-7954-4-10
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Consistency and accuracy of diagnostic cancer codes generated by automated registration: comparison with manual registration

Abstract: Background: Automated procedures are increasingly used in cancer registration, and it is important that the data produced are systematically checked for consistency and accuracy. We evaluated an automated procedure for cancer registration adopted by the Lombardy Cancer Registry in 1997, comparing automatically-generated diagnostic codes with those produced manually over one year (1997).

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Cited by 15 publications
(8 citation statements)
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“…This served as an additional check that case details were correct, and provided the following additional information: BMI (kg/m 2 ), disease stage (TNM), menopausal status at diagnosis, and tumour estrogen and progesterone receptor data. A series of algorithms included in the Open Registry software [20] was then applied to ascertain whether any adverse breast cancer events for these cases had been registered in the hospital discharge database of the Region of Lombardy from 1996 to 2009. Cases with an adverse event were then hand-searched in clinical records (Step 4, Figure 1) to confirm the event and obtain details (locoregional recurrence, distant metastasis, death).…”
Section: Methodsmentioning
confidence: 99%
“…This served as an additional check that case details were correct, and provided the following additional information: BMI (kg/m 2 ), disease stage (TNM), menopausal status at diagnosis, and tumour estrogen and progesterone receptor data. A series of algorithms included in the Open Registry software [20] was then applied to ascertain whether any adverse breast cancer events for these cases had been registered in the hospital discharge database of the Region of Lombardy from 1996 to 2009. Cases with an adverse event were then hand-searched in clinical records (Step 4, Figure 1) to confirm the event and obtain details (locoregional recurrence, distant metastasis, death).…”
Section: Methodsmentioning
confidence: 99%
“…The Birth Defect Registry uses the proven Open Registry software [12-16] to generate cases. The steps in this procedure are as follows:…”
Section: Methodsmentioning
confidence: 99%
“…Strengths of the present study are its prospective design, availability of information on diet, availability of ER, PR and HER2 status of the cancers in most cases, and availability of abundant additional information making it possible to adjust for potential confounders including smoking. Furthermore breast cancer cases were identified by the local cancer registry, and it is unlikely that any cases were lost . Other strengths are the large number of food samples used for the analytical determinations of cadmium, collected from local groceries and supermarkets in order to mimic the real sources of foodstuffs in the population …”
Section: Discussionmentioning
confidence: 99%