Die Impatiens edgeworthii HOOK. f. - ein für Deutschland neues Springkraut

The plant species Impatiens edgeworthii, originally indigenous to the Himalayan region, is detected now for the first time in Germany. Its currently known area of distribution, the distinguishing features, and ecological behaviour are dealt with in this paper. The possible means of introducing the species are discussed; its sociology is depicted on the basis of 25 photosociological records

Creating area level indices of behaviours impacting cancer in Australia with a Bayesian generalised shared component model

This study develops a model-based index creation approach called the Generalized Shared Component Model (GSCM) by drawing on the large field of factor models. The proposed fully Bayesian approach accommodates heteroscedastic model error, multiple shared factors and flexible spatial priors. Moreover, our model, unlike previous index approaches, provides indices with uncertainty. Focusing on Australian risk factor data, the proposed GSCM is used to develop the Area Indices of Behaviors Impacting Cancer product - representing the first area level cancer risk factor index in Australia. This advancement aids in identifying communities with elevated cancer risk, facilitating targeted health interventions.Comment: Submitted to Health and Plac

Mapping the prevalence of cancer risk factors at the small area level in Australia

Cancer is a significant health issue globally and it is well known that cancer risk varies geographically. However in many countries there are no small area-level data on cancer risk factors with high resolution and complete reach, which hinders the development of targeted prevention strategies. Using Australia as a case study, the 2017-2018 National Health Survey was used to generate prevalence estimates for 2221 small areas across Australia for eight cancer risk factor measures covering smoking, alcohol, physical activity, diet and weight. Utilising a recently developed Bayesian two-stage small area estimation methodology, the model incorporated survey-only covariates, spatial smoothing and hierarchical modelling techniques, along with a vast array of small area-level auxiliary data, including census, remoteness, and socioeconomic data. The models borrowed strength from previously published cancer risk estimates provided by the Social Health Atlases of Australia. Estimates were internally and externally validated. We illustrated that in 2017-18 health behaviours across Australia exhibited more spatial disparities than previously realised by improving the reach and resolution of formerly published cancer risk factors. The derived estimates reveal higher prevalence of unhealthy behaviours in more remote areas, and areas of lower socioeconomic status; a trend that aligns well with previous work. Our study addresses the gaps in small area level cancer risk factor estimates in Australia. The new estimates provide improved spatial resolution and reach and will enable more targeted cancer prevention strategies at the small area level, supporting policy makers, researchers, and the general public in understanding the spatial distribution of cancer risk factors in Australia. To help disseminate the results of this work, they will be made available in the Australian Cancer Atlas 2.0.Comment: Submitted to the International Journal of Health Geographic

Distribution of subsequent primary invasive melanomas following a first primary invasive OR in situ Melanoma Queensland, Australia, 1982-2010

IMPORTANCE: Melanoma survivors are known to have a highly elevated risk of subsequent primary melanomas. OBJECTIVE: To determine the relative risk of subsequent primary invasive melanomas following a first primary invasive or in situ melanoma, with a focus on body site. DESIGN, SETTING, AND PARTICIPANTS: A retrospective cohort studywas conducted using population-based administrative data for melanoma diagnoses collected by the Queensland Cancer Registry, Queensland, Australia. Deidentified records of all cases of melanoma among Queensland residents during the period 1982-2005 were obtained and reviewed to December 31, 2010. There were 39 668 eligible cases of first primary invasive melanoma and 22 845 cases of first primary in situ melanoma. MAIN OUTCOMES AND MEASURES: Standardized incidence ratios (SIRs), a proxy measure for relative risk, were calculated by dividing the observed number of subsequent primary invasive melanomas by the product of the strata-specific incidence rates that occurred in the general population and the cumulative time at risk for the cohort. Synchronous subsequent melanomas (diagnosed within 60 days of the first primary melanoma) were excluded. Differences between SIRs were assessed using multivariate negative binomial regression adjusted for sex, age group, time to second diagnosis, and body site and expressed in terms of adjusted SIR ratios with corresponding 95%CIs. RESULTS: There were 5358 subsequent primary invasive melanomas diagnosed, resulting in SIRs of 5.42 (95%CI, 5.23-5.61) and 4.59 (4.37-4.82) for persons with a first primary invasive or in situ melanoma, respectively. The SIRs remained elevated throughout the follow-up period. In general, subsequent primary invasive melanomas were more likely to occur at the same body site as the initial invasive or in situ melanoma. The largest relative risk was for females with a first primary invasive melanoma on the head followed by a subsequent primary invasive melanoma also on the head (SIR, 13.32; 95%CI, 10.28-16.98). CONCLUSIONS AND RELEVANCE: Melanoma survivors require ongoing surveillance, with particular attention required for the body site of the initial lesion. Clinical practice guidelines have recognized the importance of monitoring for people with invasive melanoma; the results of the present study highlight the need for similar levels of supervision for those with a diagnosis of in situ melanoma

Cancer survival in New South Wales, Australia: socioeconomic disparities remain despite overall improvements

Background\ud \ud Disparities in cancer survival by socioeconomic status have been reported previously in Australia. We investigated whether those disparities have changed over time.\ud Methods\ud \ud We used population-based cancer registry data for 377,493 patients diagnosed with one of 10 major cancers in New South Wales (NSW), Australia. Patients were assigned to an area-based measure of socioeconomic status. Five-year relative survival was estimated for each socioeconomic quintile in each ‘at risk’ period (1996–2000 and 2004–2008) for the 10 individual cancers. Poisson-regression modelling was used to adjust for several prognostic factors. The relative excess risk of death by socioeconomic quintile derived from this modelling was compared over time.\ud Results\ud \ud Although survival increased over time for most individual cancers, Poisson-regression models indicated that socioeconomic disparities continued to exist in the recent period. Significant socioeconomic disparities were observed for stomach, colorectal, liver, lung, breast and prostate cancer in 1996–2000 and remained so for 2004–2008, while significant disparities emerged for cervical and uterus cancer in 2004–2008 (although the interaction between period and socioeconomic status was not significant). About 13.4 % of deaths attributable to a diagnosis of cancer could have been postponed if this socioeconomic disparity was eliminated.\ud Conclusion\ud \ud While recent health and social policies in NSW have accompanied an increase in cancer survival overall, they have not been associated with a reduction in socioeconomic inequalities

Developing the atlas of cancer in Queensland: methodological issues

Background: Achieving health equity has been identified as a major challenge, both internationally and within Australia. Inequalities in cancer outcomes are well documented, and must be quantified before they can be addressed. One method of portraying geographical variation in data uses maps. Recently we have produced thematic maps showing the geographical variation in cancer incidence and survival across Queensland, Australia. This article documents the decisions and rationale used in producing these maps, with the aim to assist others in producing chronic disease atlases. Methods: Bayesian hierarchical models were used to produce the estimates. Justification for the cancers chosen, geographical areas used, modelling method, outcome measures mapped, production of the adjacency matrix, assessment of convergence, sensitivity analyses performed and determination of significant geographical variation is provided. Conclusions: Although careful consideration of many issues is required, chronic disease atlases are a useful tool for assessing and quantifying geographical inequalities. In addition they help focus research efforts to investigate why the observed inequalities exist, which in turn inform advocacy, policy, support and education programs designed to reduce these inequalities

Spatial disparities in the reported incidence and survival of myeloproliferative neoplasms in Australia

Acknowledgments:The authors wish to thank the MPN Alliance Australia for motivating this study and financial support. We would also like to thank the reviewers for their helpful comments. Funding: was provided by the MPN Alliance Australia. The MPN Alliance Australia did not play any role in study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the paper for publication.Peer reviewedPostprintPostprintPostprin

Long-term Survival Outcomes for Men Who Provided Ejaculate Specimens for Prostate Cancer Research: Implications for Patient Management

Background: Determining whether men diagnosed with early prostate cancer (PCa) will live long enough to benefit from interventions with curative intent is difficult. Although validated instruments for predicting patient survival are available, these do not have clinical utility so are not used routinely in practice. Objective: To test the hypothesis that volunteers who provided ejaculate specimens had a high survival rate at 10 and 15 yr and beyond. Design, setting, and participants: A total of 290 patients investigated because of high serum prostate-specific antigen donated ejaculate specimens for research between January 1992 and May 2003. The median age at the time of ejaculation was 63.5 yr. 153 of the donors were diagnosed with PCa and followed up to December 31, 2013. Outcome measurements and statistical analysis: Survival outcomes were compared with those for the whole population, as indicated by life expectancy tables up to 20 yr. Results and limitations: Men in the PCa group had life expectancies comparable with values listed in life expectancy tables for the whole population. Overall, PCa-specific and relative survival were significantly better for men in the non-PCa and PCa groups in comparison with men diagnosed with PCa in Queensland during the same period. Relative survival for those aged 20-49, 50-64, and ≥65 yr was >100% for ejaculate donors and 81.5%, 82.7%, and 65.2%, respectively, for the Queensland Cancer Registry reference at 10 yr. These findings for this highly selected patient cohort support the hypothesis that an ability to provide an ejaculate specimen is associated with a high likelihood of surviving 10-20 yr after donation, whether or not PCa was detected. Conclusion: Life expectancy tables may serve as a quick and simple life expectancy indicator for biopsy patients who donate ejaculate. Patient summary: Life expectancy tables indicated survival of up to 20 yr for men who provided ejaculate specimens for prostate cancer research. Life expectancy tables indicated survival of up to 20 yr for men who provided ejaculate specimens for prostate cancer research

The first year counts: cancer survival among Indigenous and non-Indigenous Queenslanders, 1997–2006

Objective: To examine the differential in cancer survival between Indigenous and non-Indigenous people in Queensland in relation to time after diagnosis, remoteness and area-socioeconomic disadvantage. Design, setting and participants: Descriptive study of population-based data on all 150 059 Queensland residents of known Indigenous status aged 15 years and over who were diagnosed with a primary invasive cancer during 1997–2006. Main outcome measures: Hazard ratios for the categories of area- socioeconomic disadvantage, remoteness and Indigenous status, as well as conditional 5-year survival estimates. Results: Five-year survival was lower for Indigenous people diagnosed with cancer (50.3%; 95% CI, 47.8%–52.8%) compared with non-Indigenous people (61.9%; 95% CI, 61.7%–62.2%). There was no evidence that this differential varied by remoteness (P = 0.780) or area-socioeconomic disadvantage (P = 0.845). However, it did vary by time after diagnosis. In a time-varying survival model stratified by age, sex and cancer type, the 50% excess mortality in the first year (adjusted HR, 1.50; 95% CI, 1.38–1.63) reduced to near unity at 2 years after diagnosis (HR, 1.03; 95% CI, 0.78–1.35). Conclusions: After a wide disparity in cancer survival in the first 2 years after diagnosis, Indigenous patients with cancer who survive these 2 years have a similar outlook to non-Indigenous patients. Access to services and socioeconomic factors are unlikely to be the main causes of the early lower Indigenous survival, as patterns were similar across remoteness and area- socioeconomic disadvantage. There is an urgent need to identify the factors leading to poor outcomes early after diagnosis among Indigenous people with cancer