https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Factors associated with prostate specific antigen testing in Australians: Analysis of the New South Wales 45 and Up Study https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47693 Wed 25 Jan 2023 08:42:41 AEDT ]]> Widening socioeconomic disparity in lung cancer incidence among men in New South Wales, Australia, 1987-2011 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33631 Wed 06 Apr 2022 13:58:13 AEST ]]> Patterns of care and emergency presentations for people with non-small cell lung cancer in New South Wales, Australia: A population-based study https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43348 Thu 15 Sep 2022 15:25:41 AEST ]]> Oncologist provision of smoking cessation support: A national survey of Australian medical and radiation oncologists https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43332 Thu 15 Sep 2022 14:57:43 AEST ]]> Identifying incident colorectal and lung cancer cases in health service utilisation databases in Australia: a validation study https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30828 50% or PPV >65% for either cancer type and no combination of indicators increased both the sensitivity and PPV above that achieved using the hospital cancer diagnosis data. All specificities were close to 100%; 95% confidence intervals for sensitivity and PPV were generally +/−2%. Conclusions: In NSW, identifying new cases of colorectal and lung cancer from administrative health datasets, such as hospital records, is a feasible alternative when cancer registry data are not available. However, the strengths and limitations of the different data sources should be borne in mind.]]> Thu 13 Jan 2022 10:30:22 AEDT ]]> Projections of smoking-related cancer mortality in Australia to 2044 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52851 30%. For each group, an age–period– cohort model or generalised linear model with cigarette smoking exposure as a covariate was selected based on the model fit statistics and validation using observed data. The smoking-attributable fraction (SAF) was calculated for each smoking-related cancer using Australian smoking prevalence data and published relative risks. Results: Despite the decreasing mortality rates projected for the period 2015–2019 to 2040–2044 for both men and women, the overall number of smoking-related cancer deaths is estimated to increase by 28.7% for men and 35.8% for women: from 138 707 (77 839 men and 60 868 women) in 2015–2019 to 182 819 (100 153 men and 82 666 women) in 2040–2044. Over the period 2020–2044, there will be 254 583 cancer deaths (173 943 men and 80 640 women) directly attributable to smoking, with lung, larynx, oesophagus and oral (comprising lip, oral cavity and pharynx) cancers having the largest SAFs. Interpretation: Cigarette smoking will cause over 250 000 cancer deaths in Australia from 2020 to 2044. Continued efforts in tobacco control remain a public health priority, even in countries where smoking prevalence has substantially declined.]]> Mon 30 Oct 2023 09:54:19 AEDT ]]> Raking of data from a large Australian cohort study improves generalisability of estimates of prevalence of health and behaviour characteristics and cancer incidence https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51422 Mon 04 Sep 2023 14:57:22 AEST ]]> Comparison of four methods for estimating actual radiotherapy utilisation using the 45 and Up Study cohort in New South Wales, Australia https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49488 Fri 19 May 2023 09:42:13 AEST ]]>