Geographical disparities in diagnosis of myeloproliferative neoplasms in Australia
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Fritschi, Lin
Ross, David
Anderson, Lesley Ann
Cramb, Susanna
Aitken, Joanne
Mengersen, Dist Kerrie
Duncan, Earl
Baade, Peter
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Abstract
Background: Myeloproliferative neoplasms (MPNs) are a relatively new group of blood cancers arising from genetic mutations in haematopoietic stem cells. Diagnostic delay is associated with thromboses, strokes and heart attacks. We investigated geographic variation in diagnosis and survival for classic MPNs.
Methods: Data for classic MPNs were obtained from the Australian Cancer Database. Leroux spatial models for incidence and survival were fitted using CARBayes, WinBUGS via R and tests for spatial clustering were conducted.
Results: The age-standardised incidence rate was 4.9 (95% CI: 4.8-5.0) per 100,000 person-years during 2007-2016 with relative survival of 78% (77%, 79%) at 5 years after diagnosis.
Strong evidence of spatial variation in incidence was observed (p < 0.001), with incidence rates low in Tasmania (4.2 per 100,000 person-years, 95% CI: 3.5-5.0) and Western Australia (6.1, 5.6-6.6) and high in Victoria (9.5, 9.2-9.9) and Queensland (10.6, 10.2-11.1).
Differences between states and territories could not be explained by population rates of genetic testing or the proportion of registered cases with histological evidence.
Conclusions: Stark spatial differences in incidence rates of classic MPNs suggest that varying diagnosis and registration patterns between states results in under-recognition, and potentially undertreatment. It is imperative that reporting is consistent so that sound evidence is available for efforts to reduce disparities in diagnosis and management.
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International Journal of Epidemiology
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50
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Supplement_1
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Science & Technology
Life Sciences & Biomedicine
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Cameron, J; Fritschi, L; Ross, D; Anderson, LA; Cramb, S; Aitken, J; Mengersen, DK; Duncan, E; Baade, P, Geographical disparities in diagnosis of myeloproliferative neoplasms in Australia, International Journal of Epidemiology, 2021, 50 (Supplement_1), pp. 41-41