2000
DOI: 10.1054/bjoc.1999.1048
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Completeness of cancer registration: a new method for routine use

Abstract: We report a new method of estimating the completeness of cancer registration, in which the proportions of unregistered patients are derived from the time distributions of three probabilities, each of which can be directly estimated from the registry's own data – the probabilities of survival, of registration of the cancer during the patient's life, and of the mention of cancer on the death certificate of a cancer patient who dies. This method allows completeness to be assessed routinely by factors such as age,… Show more

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Cited by 62 publications
(56 citation statements)
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“…We matched a higher, but still fairly low, proportion (44%) of people from the CDSC data with Burkitt's lymphoma or immunoblastic lymphoma and a first report from a region located wholly or partly within the TCR catchment area to a TCR NHL record. The overall completeness of registrations 5 years after diagnosis has been estimated as 92% (Bullard et al, 2000), but failure to register cancers may be more likely in HIV-infected people than the general population. Overall, any incompleteness of cancer Bold values indicate cancer sites where the 95% confidence interval does not include one.…”
Section: Discussionmentioning
confidence: 99%
“…We matched a higher, but still fairly low, proportion (44%) of people from the CDSC data with Burkitt's lymphoma or immunoblastic lymphoma and a first report from a region located wholly or partly within the TCR catchment area to a TCR NHL record. The overall completeness of registrations 5 years after diagnosis has been estimated as 92% (Bullard et al, 2000), but failure to register cancers may be more likely in HIV-infected people than the general population. Overall, any incompleteness of cancer Bold values indicate cancer sites where the 95% confidence interval does not include one.…”
Section: Discussionmentioning
confidence: 99%
“…We found the lowest risks in North East Thames (RR = 0.79, 95% CI: 0.73-0.84) and the highest risks in Scotland (RR = 1.32, 95% CI: 1.25-1.38), but no consistent north-south gradient. The lower risk in North East Thames may, at least partly, reflect relative underascertainment, which was a particular problem with this registry prior to 1986 (Best and Wakefield, 1999;Bullard et al, 2000).…”
Section: Geographical Variationmentioning
confidence: 98%
“…Concerning quantitative methods, we estimated completeness of incidence data by applying the flow method proposed by Bullard et al [16]. The flow method estimates completeness of incidence data by taking into consideration the logical flow of the registration process and requires information on data from first registration of a cancer case, a copy of all death certificates with cancer as cause of death (''mentioning cancer'') and the knowledge whether or not a cancer case was death certificate-initiated (DCI).…”
Section: Evaluation Of Biasmentioning
confidence: 99%
“…This method estimates the probability of a patient diagnosed with cancer still being alive at time t after diagnosis, the probability of the death certificate of a patient including a mention of cancer, and the probability of a patient surviving until time t after diagnosis still being unregistered. Using these three probabilities the completeness at time t after diagnosis is estimated; details can be found in [16,17]. Our analysis was performed for year of diagnosis 1999.…”
Section: Evaluation Of Biasmentioning
confidence: 99%