OBJECTIVE: To describe a data artefact in degree-of-spread at first presentation in the New South Wales Central Cancer Registry (NSW CCR), the only Australian cancer registry that records degree-of-spread data for all solid tumours. METHOD: Trends in the proportions of cancer cases diagnosed annually over 1972-2004 by degree-of-spread categories of localised, regional, distant and unknown were calculated for each major cancer type. RESULTS: Excepting breast cancer and melanoma, the proportion of localised cancer cases reported from 1993-1998 was approximately 5% lower than expected, and was mirrored by an artefactual increase in unknown degree-of-spread cases. CONCLUSION: This artefact was caused by the introduction of the Electronic Notification System and cannot easily be remedied retrospectively. However, regional and distant categories of degree-of-spread in the NSW CCR data are reliably recorded for the 1972-2004 period. IMPLICATIONS: It is important that past and present cancer data users are notified and understand the quality issues with NSW CCR degree-of-spread data, and use it as recommended to avoid anomalous results or conclusions.
OBJECTIVE: To describe a data artefact in degree-of-spread at first presentation in the New South Wales Central Cancer Registry (NSW CCR), the only Australian cancer registry that records degree-of-spread data for all solid tumours. METHOD: Trends in the proportions of cancer cases diagnosed annually over 1972-2004 by degree-of-spread categories of localised, regional, distant and unknown were calculated for each major cancer type. RESULTS: Excepting breast cancer and melanoma, the proportion of localised cancer cases reported from 1993-1998 was approximately 5% lower than expected, and was mirrored by an artefactual increase in unknown degree-of-spread cases. CONCLUSION: This artefact was caused by the introduction of the Electronic Notification System and cannot easily be remedied retrospectively. However, regional and distant categories of degree-of-spread in the NSW CCR data are reliably recorded for the 1972-2004 period. IMPLICATIONS: It is important that past and present cancer data users are notified and understand the quality issues with NSW CCR degree-of-spread data, and use it as recommended to avoid anomalous results or conclusions.
Authors: Hanna E Tervonen; Sanchia Aranda; David Roder; Hui You; Richard Walton; Stephen Morrell; Deborah Baker; David C Currow Journal: BMC Public Health Date: 2017-09-14 Impact factor: 3.295
Authors: Hanna E Tervonen; Richard Walton; Hui You; Deborah Baker; David Roder; David Currow; Sanchia Aranda Journal: BMC Cancer Date: 2017-06-02 Impact factor: 4.430