Individual and area level factors associated with the breast cancer diagnostic-treatment interval in Queensland, Australia.

BACKGROUND: Delays to breast cancer treatment can lead to more aggressive and extensive treatments, increased expenses, increased psychological distress, and poorer survival. We explored the individual and area level factors associated with the interval between diagnosis and first treatment in a population-based cohort in Queensland, Australia. METHODS: Data from 3216 Queensland women aged 20 to 79, diagnosed with invasive breast cancer (ICD-O-3 C50) between March 2010 and June 2013 were analysed. Diagnostic dates were sourced from the Queensland Cancer Registry and treatment dates were collected via self-report. Diagnostics-treatment intervals were modelled using flexible parametric survival methods. RESULTS: The median interval between breast cancer diagnosis and first treatment was 15 days, with an interquartile range of 9-26 days. Longer diagnostic-treatment intervals were associated with a lack of private health coverage, lower pre-diagnostic income, first treatments other than breast conserving surgery, and residence outside a major city. The model explained a modest 13.7% of the variance in the diagnostic-treatment interval [Formula: see text]. Sauerbrei's D was 0.82, demonstrating low to moderate discrimination performance. CONCLUSION: Whilst this study identified several individual- and area-level factors associated with the time between breast cancer diagnosis and first treatment, much of the variation remained unexplained. Increased socioeconomic disadvantage appears to predict longer diagnostic-treatment intervals. Though some of the differences are small, many of the same factors have also been linked to screening and diagnostic delay. Given the potential for accumulation of delay at multiple stages along the diagnostic and treatment pathway, identifying and applying effective strategies address barriers to timely health care faced by socioeconomically disadvantaged women remains a priority.

Severity and risk factors of interval breast cancer in Queensland, Australia: a population-based study.

BACKGROUND: Interval breast cancers (BC) are those diagnosed within 24 months of a negative mammogram. This study estimates the odds of being diagnosed with high-severity BC among screen-detected, interval, and other symptom-detected BC (no screening history within 2 years); and explores factors associated with being diagnosed with interval BC. METHODS: Telephone interviews and self-administered questionnaires were conducted among women (n = 3,326) diagnosed with BC in 2010-2013 in Queensland. Respondents were categorised into screen-detected, interval, and other symptom-detected BCs. Data were analysed using logistic regressions with multiple imputation. RESULTS: Compared with screen-detected BC, interval BC had higher odds of late-stage (OR = 3.50, 2.9-4.3), high-grade (OR = 2.36, 1.9-2.9) and triple-negative cancers (OR = 2.55, 1.9-3.5). Compared with other symptom-detected BC, interval BC had lower odds of late stage (OR = 0.75, 0.6-0.9), but higher odds of triple-negative cancers (OR = 1.68, 1.2-2.3). Among women who had a negative mammogram (n = 2,145), 69.8% were diagnosed at their next mammogram, while 30.2% were diagnosed with an interval cancer. Those with an interval cancer were more likely to have healthy weight (OR = 1.37, 1.1-1.7), received hormone replacement therapy (2-10 years: OR = 1.33, 1.0-1.7; > 10 years: OR = 1.55, 1.1-2.2), conducted monthly breast self-examinations (BSE) (OR = 1.66, 1.2-2.3) and had previous mammogram in a public facility (OR = 1.52, 1.2-2.0). CONCLUSION: These results highlight the benefits of screening even among those with an interval cancer. Women-conducted BSE were more likely to have interval BC which may reflect their increased ability to notice symptoms between screening intervals.

Development of a key performance indicator for breast cancer in Queensland, Australia.

PURPOSE: Using population-based data for women diagnosed with stage I-III breast cancer, our aim was to examine the impact of time to treatment completion on survival and to identify factors associated with treatment delay. METHODS: This retrospective study used clinical and treatment data from the Queensland Oncology Repository. Time from diagnosis to completing surgery, chemotherapy and radiation therapy identified a cut-off of 37 weeks as the optimal threshold for completing treatment. Logistic regression was used to identify factors associated with the likelihood of completing treatment > 37 weeks. Overall (OS) and breast cancer-specific survival (BCSS) were examined using Cox proportional hazards models. RESULTS: Of 8279 women with stage I-III breast cancer, 31.9% completed treatment > 37 weeks. Apart from several clinical factors, being Indigenous (p = 0.002), living in a disadvantaged area (p = 0.003) and receiving ≥ two treatment modalities within the public sector (p < 0.001) were associated with an increased likelihood of completing treatment > 37 weeks. The risk of death from any cause was about 40% higher for women whose treatment went beyond 37 weeks (HR 1.37, 95%CI 1.16-1.61), a similar result was observed for BCSS. Using the surgery + chemotherapy + radiation pathway, a delay of > 6.9 weeks from surgery to starting chemotherapy was significantly associated with poorer survival (p = 0.001). CONCLUSIONS: Several sociodemographic and system-related factors were associated with a greater likelihood of treatment completion > 37 weeks. We are proposing a key performance indicator for the management of early breast cancer where a facility should have > 90% of patients with a time from surgery to adjuvant chemotherapy < 6.9 weeks.

Supportive care needs and psychosocial outcomes of rural versus urban women with breast cancer.

OBJECTIVE: To identify whether supportive care needs vary according to remoteness and area-level socio-economic status and to identify the combinations of socio-demographic, area-level and health factors that are associated with poorer quality of life, psychological distress and severity of unmet supportive care needs. METHODS: Cross sectional data was collected from women with a breast cancer diagnosis (n = 2635) in Queensland, Australia, through a telephone survey including socio-demographic, health, psychosocial and supportive care needs measures. Hierarchical regression and cluster analyses were applied to assess the predictors of unmet need and psychosocial outcomes and to identify socio-demographic and health status profiles of women, comparing their level of unmet needs and psychosocial outcomes. RESULTS: Women living in outer regional areas reported the highest severity of unmet need in the patient care domain. Greater unmet need for health systems and information and patient care was also evident for those in moderately and most disadvantaged areas. Three clusters were identified reflecting (1) older women with poorer health and lower education (19%); (2) younger educated women with better health and private insurance (61%); and (3) physically active women with localised cancer who had completed treatment (20%). Poorer outcomes were evident in the first two of these clusters. CONCLUSIONS: This better understanding of the combinations of characteristics associated with poorer psychosocial outcomes and higher unmet need can be used to identify women with higher supportive care needs early and to target interventions.

Trends in surgery and adjuvant treatment for early-stage breast cancer: a population-based study in Queensland, Australia.

PURPOSE: Our aim was to describe variations in the treatment of early-stage breast cancer and to examine factors associated with disease-specific survival (DSS). METHODS: The study used linked data for 24,190 women with a T1 (≤ 20 mm) breast cancer who underwent surgery from 2005 to 2019. Multivariate logistic regression was used to model predictors of receiving breast-conserving surgery (BCS) compared to mastectomy and a multinomial model was used to examine factors associated with type(s) of treatment received. RESULTS: Overall, 70.3% had BCS, with a reduced likelihood of BCS observed for younger women (p < 0.001), rural residence, (p < 0.001), socioeconomic disadvantage (p = 0.004), higher tumour grade (p < 0.001) and surgery in a public versus private hospital (p < 0.001). Compared to women who received BCS and radiation therapy (RT), those having mastectomy alone or mastectomy plus RT were more likely to be younger (p < 0.001), live in a rural area (p < 0.001), have higher-grade tumours (p < 0.001) and positive lymph nodes (p < 0.001). Overall 5-year survival was 95.3% and breast cancer-specific survival was 98.3%. Highest survival was observed for women having BCS and RT and lowest for those having mastectomy and RT (p < 0.001). CONCLUSION: Our results indicate some variation in the management of early-stage breast cancer. Lower rates of BCS were observed for rural and disadvantaged women and for those treated in a public or low-volume hospital. Whilst survival was high for this cohort, differences in tumour biology likely explain the differences in survival according to treatment type.

Tobacco smoking and risk of thyroid cancer according to BRAFV600E mutational subtypes.

OBJECTIVE: Smoking has been associated with a reduced risk of thyroid cancer, but whether the association varies between higher- and lower-risk cancers remains unclear. We aimed to assess the association between smoking and risk of thyroid cancer overall as well as by tumour BRAF mutational status as a marker of potentially higher-risk cancer. DESIGN AND PATIENTS: We recruited 1013 people diagnosed with thyroid cancer and 1057 population controls frequency-matched on age and sex. METHODS: Multivariable logistic regression was used to assess the association overall and in analyses stratified by tumour characteristics. We used sensitivity analysis to assess the potential for selection bias. RESULTS: We found little evidence of an association with current smoking (odds ratio [OR] = 0.93; 95% confidence interval [CI]: 0.69-1.26; current vs. never smoking), but a higher number of pack-years of smoking was associated with a lower risk of thyroid cancer (OR = 0.75; 95% CI: 0.57-0.99; ≥20 pack-years vs. never). However, after correcting for potential selection bias, we observed a statistically significant inverse association between current smoking and risk of thyroid cancer (bias-corrected OR = 0.65; 95% CI: 0.51-0.83). Those with BRAF-positive cancers were less likely to be current smokers than those with BRAF-negative cancers (prevalence ratio: 0.79; 95% CI: 0.62-0.99). CONCLUSION: We found smoking was inversely related to thyroid cancer risk and, in particular, current smoking was associated with a reduced risk of potentially more aggressive BRAF-positive than the likely more indolent BRAF-negative papillary thyroid cancers.

Genetic Association Analysis Implicates Six MicroRNA-Related SNPs With Increased Risk of Breast Cancer in Australian Caucasian Women.

INTRODUCTION: Breast cancer (BC), a heterogeneous disease, features microRNA-related single nucleotide polymorphisms (miRSNPs) as underlying factors of BC development, thus providing targets for novel diagnostic and therapeutic strategies. This study investigated miRSNPs in BC susceptibility in Australian Caucasian women. PATIENTS AND METHODS: The study population included patients 33 to 80 years of age stratified by molecular subtypes of breast tumors (luminal A, 47.59%), stage (stage I, 36.96%), tumor-type (ductal, 44.95%), grading (intermediate, 35.52%), size (10.1-25 mm, 31.14%), and lymph node (sentinel negative, 38.93%). Sixty-five miRSNPs underwent allelic analysis in two independent case-control cohorts (GU-CCQ-BB, 377 cases and 521 controls; GRC-BC, 267 cases and 201 controls) using a MassARRAY platform. GU-CCQ-BB, GRC-BC, and the combined populations (BC-CA) (644 cases and 722 controls) underwent independent statistical analysis. RESULTS: In the GU-CCQ-BB population, miRSNPs TET2-rs7670522, ESR1-rs2046210, FGFR2-rs1219648, MIR210-rs1062099, HIF1A-rs2057482, and CASC16-rs4784227 were found to be associated with increased BC risk (P ≤ .05). Only ESR1-rs2046210 was also significantly associated (P ≤ .05) when replicated in the GRC-BC and BC-CA populations. No significant association was correlated with BC-clinical features (pathological types and ER/PR/HER2 status); however, MIR210-rs1062099 was found to be significantly associated (P ≤ .05) with age (>50 years) in the GU-CCQ-BB cohort. CONCLUSION: This is the first study to demonstrate the association of MIR210-rs1062099 and TET2-rs7670522 with increased BC risk. Additionally, four previously reported SNPs (ESR1-rs2046210, FGFR2-rs1219648, HIF1A-rs2057482, and CASC16-rs4784227) were confirmed as BC risk variants. Replication and functional studies in larger Caucasian cohorts are necessary to elucidate the role of these miRSNPS in the development of BC.

Risk of thyroid cancer following hysterectomy.

BACKGROUND: Hysterectomy has been associated with increased thyroid cancer risk but whether this reflects a biological link or increased diagnosis of indolent cancers due to greater medical contact remains unclear. METHODS: We recruited 730 women diagnosed with thyroid cancer and 785 age-matched population controls. Multivariable logistic regression was used to assess the association overall, and by tumour BRAF mutational status as a marker of potentially higher-risk cancers. We used causal mediation analysis to investigate potential mediation of the association by healthcare service use. RESULTS: Having had a hysterectomy was associated with an increased risk of thyroid cancer (odds ratio [OR] = 1.45, 95 % confidence interval [CI] 1.07-1.96). When stratified by indication for hysterectomy, the risk appeared stronger for those who had a hysterectomy for menstrual disorders (OR = 1.67, 95 % CI 1.17-2.37) but did not differ by tumour BRAF status. Approximately 20 % of the association between hysterectomy and thyroid cancer may be mediated by more frequent use of healthcare services. CONCLUSIONS: The observed increased risk of thyroid cancer among those with hysterectomy may be driven, at least partly, by an altered sex steroid hormone milieu. More frequent healthcare service use by women with hysterectomy accounts for only a small proportion of the association.

Population-based picture of breast reconstruction in Queensland, Australia.

BACKGROUND: Approximately 40% of women with invasive breast cancer will undergo a mastectomy. Clinical practice guidelines recommend breast reconstruction (BR) options should be discussed with all women who are to undergo a mastectomy. We sought to examine rates of BR, BR methods over time and to identify factors associated with the likelihood of receiving BR in Queensland. METHODS: This population-based study used linked data from the Queensland Oncology Repository for 12 364 women who underwent a mastectomy for invasive breast cancer from 2008 to 2017. Multivariate logistic regression was used to model predictors of immediate breast reconstruction (IBR) and delayed breast reconstruction (DBR). RESULTS: Overall, 2560 (20.7%) women had BR, with 9.8% having IBR and 10.9% having DBR. Factors associated with a reduced likelihood of IBR or DBR included older age (P < 0.001), living in a regional/rural area (P < 0.001) and having a mastectomy in a public versus private hospital (P < 0.001). Median time from mastectomy to DBR was 18.4 and 29.2 months for women attending a private versus public hospital, respectively (P < 0.001). Use of implant-based BR increased significantly with a corresponding decrease in autologous BR over time. CONCLUSIONS: Significant disparities exist in rates of BR between public and private hospitals. Women living in regional and rural areas as well as those aged over 60 years continue to have lower rates of BR. Addressing the health system barriers and developing strategies to improve access to, and uptake of BR should be a priority.

Incidence, survival and stage at diagnosis of small intestinal neuroendocrine tumours in Queensland, Australia, 2001-2015.

AIM: Multiple studies have observed increasing incidence of small intestinal (SI) neuroendocrine tumours (NETs). The aim of this study was to describe incidence, mortality and survival of SI NETs by sub-site and stage at diagnosis. METHODS: Data on patients diagnosed with SI NETs between 2001 and 2015 were sourced from the Queensland Oncology Repository. Staging algorithms utilising several data sources were used to calculate stage at diagnosis (localised, regional or metastatic disease). RESULTS: We identified 778 SI NETs and of those 716 (92%) had either a documented or derived stage. Incidence doubled from 0.68 per 100 000 to 1.42 per 100 000 over the 15-year period. Most common site was ileum (49.1%) and 84.2% were of carcinoid morphology type. Stage at diagnosis was calculated for 91.7% of patients with 28.3% presenting with regional involvement and 23.9% with distant metastasis. Risk factors associated with metastatic disease were jejunal and SI site not otherwise specified, neuroendocrine carcinoma histology and residing in a rural area. Increasing incidence of localised disease and a corresponding reduction in metastatic disease was observed over time. Five-year cause-specific survival for patients diagnosed between 2001 and 2005 was 82.5%, increasing to 93.8% from 2011 to 2015. Survival was lowest for those with metastatic disease (74.2%). Survival increased between 2001 to 2005 and 2011 to 2015 for each disease stage. CONCLUSIONS: SI NET incidence in Queensland doubled between 2001 and 2015. Survival was high and improved over time.

Outcomes following major resection for colorectal cancer in patients aged 65+ years: a population-based study in Queensland, Australia.

BACKGROUND: The risk of developing colorectal cancer (CRC) increases with increasing age. As surgery is the primary treatment for CRC, our aim was to examine outcomes following major resection for CRC in a cohort of individuals aged ≥65 years. METHODS: This population-based retrospective study included 18 339 patients aged ≥65 years diagnosed with CRC from 2007 to 2016. Multivariate logistic regression was used to examine factors associated with the likelihood of having major resection, 30-day mortality and laparoscopic surgical procedure. Cox proportional hazards was used to examine factors associated with risk of death at 2 years post-surgery. RESULTS: Overall, 77.8% (n = 14 274) of patients had a major resection. Males and patients ≥75 years were significantly less likely to have a major resection (P < 0.001 and P < 0.001, respectively). Thirty-day mortality was 3.1% and 2-year overall survival was 78.7%. After adjustment, factors such as increasing age (≥75 years), ≥2 comorbidities, emergency admission, open surgical procedure and treatment in a public hospital were all independently and significantly associated with poorer outcomes. The likelihood a patient had a laparoscopic procedure was significantly lower for those from a disadvantaged area (P < 0.001), emergency admission (P < 0.001) as well as for those treated in a public versus private hospital (P < 0.001). CONCLUSIONS: Post-operative mortality increased, and 2-year survival decreased after age 75 years. The finding of significantly lower rates of laparoscopic surgery for patients from disadvantaged areas and those treated in a public hospital requires further investigation.

Development and implementation of a population-based breast cancer quality index in Queensland, Australia.

BACKGROUND: While quality indicators (QI) are relatively commonplace, QIs focusing on breast cancer treatment and outcomes have not been previously developed in Australia. We describe the development and implementation of the Queensland Breast Cancer Quality Index (BCQI) and report on trends in performance indicators over time. METHODS: Development of the BCQI was overseen by a clinician-led quality assurance committee covering several clinical disciplines. Using a population-based dataset of female patients diagnosed with breast cancer from 2007 to 2016 (n = 27,541) we examined trends in indicators over time. RESULTS: The BCQI includes two quality dimensions (Effective and Accessible) and 14 indicators for public and private cancer services. Rates of re-excision following breast conservation surgery (BCS) and conversion of BCS to mastectomy reduced over time (p < 0.001 and p = 0.005, respectively). BCS was less common for women living outside a major city (p < 0.001), who had their surgery in a public (p < 0.001) or low volume hospital (p < 0.001). CONCLUSIONS: Application of the BCQI at a population-level demonstrated our results are comparable to, and in some cases superior to other jurisdictions. We identified some areas where improvement over time has occurred, while also identifying some outcomes requiring further investigation. POLICY SUMMARY: The BCQI is a well-established and valuable tool for measuring and monitoring breast cancer care. Practice indicators provide useful information to assist with identifying services performing well as well as those that may benefit from improvement.

Breast-cancer mortality in screened versus unscreened women: Long-term results from a population-based study in Queensland, Australia.

OBJECTIVE: In the context of a mature mammographic screening programme, the aim of this population-based study was to estimate rates of breast-cancer mortality among participants versus non-participants in Queensland, Australia. METHODS: The Queensland Electoral Roll was used to identify women aged 50-65 in the year 2000 (n = 269,198). Women with a prior history of invasive or in situ breast cancer were excluded (n = 6,848). The study population was then linked to mammography records from BreastScreen Queensland together with the Wesley Breast Screening Clinic (the largest provider of private screening in Queensland) to establish a screened cohort (n = 187,558) and an unscreened cohort (n = 74,792). Cohort members were matched and linked to cancer notifications and deaths through the state-based Queensland Oncology Repository. Differences in breast-cancer mortality between the two cohorts were measured using Cox proportional hazards regression. RESULTS: After 16 years of follow-up, women in the screened cohort showed a 39% reduction in breast-cancer mortality compared to the unscreened cohort (HR = 0.61, 95%CI = 0.55-0.68). Cumulative mortality over the same period was 0.47% and 0.77% in the screened and unscreened cohorts, respectively. CONCLUSIONS: This study found a significant reduction in breast-cancer mortality for women who participated in mammographic screening compared to unscreened women. Our findings of a breast-cancer mortality benefit for women who have mammographic screening are in line with other observational studies.

Cancer Incidence, Mortality, and Survival for Children, Adolescents, and Young Adults in Queensland Between 1987 and 2016.

Purpose: Cancer remains the most common cause of disease-related death among young people and carries a significant burden. In the absence of prior state-based Australian epidemiological studies, this retrospective cohort study reviewed all cases of invasive cancer diagnosed in Queensland children, adolescents, and young adults (AYAs) (0-39 years) from 1987 to 2016 using the Queensland Oncology Repository (QOR). Methods: Cancers were classified according to Surveillance, Epidemiology and End Results (SEER) AYA site recode. Age-standardized rates (ASRs) were calculated. JoinPoint regression examined trends in ASRs across three age cohorts, for three decades (1987-1996, 1997-2006, and 2007-2016). Results: In total, 3,576 children aged 0-14 years (ASR = 15.2/100,000), 6,441 aged 15-24 years (ASR = 39.3/100,000), and 29,923 (ASR = 122.6/100,000) aged 25-39 years were diagnosed. Incidence increased for female children, and leukemia was the most common diagnosis. For those 15-24 years, incidence increased initially before decreasing and was higher than other nationally reported rates. For those 25-39 years, incidence increased. For the older cohorts, the most common diagnosis was melanoma. All cohorts demonstrated a decline in mortality and improvement in 5-year relative survival, with those 0-14 years demonstrating the greatest gains. The lowest survival for all cohorts was associated with central nervous system tumors. Conclusion: These results highlight areas in need of further investigation to improve survival, reduce the burden of cancer for young people, and aid service delivery. Future studies should focus on cancer biology, early detection, barriers in access to clinical trials, innovative models of care, improved data collection, and patient-reported outcomes.

Factors associated with being diagnosed with high severity of breast cancer: a population-based study in Queensland, Australia.

PURPOSE: This study explores factors that are associated with the severity of breast cancer (BC) at diagnosis. METHODS: Interviews were conducted among women (n = 3326) aged 20-79 diagnosed with BC between 2011 and 2013 in Queensland, Australia. High-severity cancers were defined as either Stage II-IV, Grade 3, or having negative hormone receptors at diagnosis. Logistic regression models were used to estimate odds ratios (ORs) of high severity BC for variables relating to screening, lifestyle, reproductive habits, family history, socioeconomic status, and area disadvantage. RESULTS: Symptom-detected women had greater odds (OR 3.38, 2.86-4.00) of being diagnosed with high-severity cancer than screen-detected women. Women who did not have regular mammograms had greater odds (OR 1.78, 1.40-2.28) of being diagnosed with high-severity cancer than those who had mammograms biennially. This trend was significant in both screen-detected and symptom-detected women. Screen-detected women who were non-smokers (OR 1.77, 1.16-2.71), postmenopausal (OR 2.01, 1.42-2.84), or employed (OR 1.46, 1.15-1.85) had greater odds of being diagnosed with high-severity cancer than those who were current smokers, premenopausal, or unemployed. Symptom-detected women being overweight (OR 1.67, 1.31-2.14), postmenopausal (OR 2.01, 1.43-2.82), had hormone replacement therapy (HRT) < 2 years (OR 1.60, 1.02-2.51) had greater odds of being diagnosed with high-severity cancer than those of healthy weight, premenopausal, had HRT > 10 years. CONCLUSION: Screen-detected women and women who had mammograms biennially had lower odds of being diagnosed with high-severity breast cancer, which highlighted the benefit of regular breast cancer screening. Women in subgroups who are more likely to have more severe cancers should be particularly encouraged to participate in regular mammography screening.

Obesity Is Associated with BRAFV600E-Mutated Thyroid Cancer.

Background: Thyroid cancer incidence has increased in many parts of the world since the 1980s, as has the prevalence of obesity. Evidence suggests that people with greater body size have higher thyroid cancer risk. However, it is unclear whether this association is causal or is driven by over-diagnosis of indolent cancers, because overweight/obese people use health services more frequently than those of normal weight, thus conferring greater opportunity for incidental diagnosis. Assessing whether obesity is associated with higher-risk thyroid cancers might help clarify this issue. Methods: We recruited 1013 people diagnosed with thyroid cancer between 2013 and 2016 and 1057 population controls, frequency matched by sex and age group. We used logistic regression to assess the association between body mass index (BMI) and overall thyroid cancer risk as well as by tumor BRAF mutational status as a marker of potentially higher-risk cancer. Results: Overall, obesity was associated with greater risk of thyroid cancer (odds ratio [OR] = 1.72; 95% confidence interval [CI 1.37-2.16] for obese vs. normal BMI). The association with obesity was significantly stronger for BRAF-mutation positive than BRAF-negative papillary thyroid cancers (PTCs; OR = 1.71 [CI 1.17-2.50] for BRAF-positive vs. BRAF-negative cancers). The increased risks associated with overweight/obesity did not vary by histological subtypes or presence/absence of adverse tumor histologic features. Conclusions: Greater risk of BRAF-mutated PTCs among those with high BMI suggests that the association may not merely reflect greater health care service use and indicates an independent relationship between obesity and clinically important thyroid cancer.

Nonbreast cancer incidence, treatment received and outcomes: Are there differences in breast screening attendees versus nonattendees?

While reductions in breast cancer mortality have been evident since the introduction of population-based breast screening in women aged 50-74 years, participation in cancer screening programs can be influenced by several factors, including health system and those related to the individual. In our study, we compared cancer incidence and mortality for several cancer types other than breast cancer, noncancer mortality and patterns of treatment amongst women who did and did not participate in mammography screening. All women aged 50-65 years enrolled on the Queensland Electoral Roll in 2000 were included. The study population was then linked to records from the population-based breast screening program and private fee-for-service screening options to establish screened and unscreened cohorts. Diagnostic details for selected cancers and cause of death were obtained from the Queensland Oncology Repository. We calculated incidence rate ratios and hazard ratios comparing screened and unscreened cohorts. Among screened compared to unscreened women, we found a lower incidence of cancers of the lung, cervix, head and neck and esophagus and an increase in colorectal cancers. Cancer mortality (excluding breast cancer) was 35% lower among screened compared to unscreened women and they were also about 23% less likely to be diagnosed with distant disease. Screened compared to unscreened women were more likely to receive surgery and less likely to receive no treatment. Our study adds further to the population data examining outcomes among women participating in mammography screening.

Epidemiological trends of neuroendocrine tumours over three decades in Queensland, Australia.

INTRODUCTION: While neuroendocrine tumours (NETs) account for only a small proportion of cancer diagnoses, incidence has been rising over time. We examined incidence, mortality and survival over three decades in a large population-based registry study. METHODS: This retrospective study included all cases (n = 4580) of NETs diagnosed from 1986 to 2015 in Queensland, Australia. We examined directly age-standardised incidence and mortality rates. The impact on overall survival according to demographic factors and primary site was modelled using multivariable Cox proportional hazards regression (HR). Cause-specific and relative survival were estimated using the Kaplan-Meier survival function. RESULTS: Annual incidence increased from 2.0 in 1986 to 6.3 per 100,000 in 2015, while mortality remained stable. The most common primary site was appendix followed by lung, small intestine and rectum. Rectal, stomach, appendiceal and pancreatic NETs had the greatest rate increase, while lung NETs decreased over the same period. Five-year cause-specific survival improved from 69.4% during 1986-1995 to 92.6% from 2006 to 2015. Survival was highest for appendiceal and rectal NETs and lowest for pancreas and unknown primary sites. The risk of dying within five years of diagnosis was about 40% higher for males (HR = 1.41, 95%CI 1.20-1.65) and significantly higher for patients aged over 40 years compared to younger patients (p < 0.001). CONCLUSION: This study, including 30 years of data, found significantly increasing rates of NETs and confirms results from elsewhere. Increasing survival over time in this study, likely reflects increased awareness, improvements in diagnostic imaging, greater use of endoscopy and colonoscopy, and the development of new therapies.

Development and Implementation of a Cancer Quality Index in Queensland, Australia: A Tool for Monitoring Cancer Care.

PURPOSE: Many cancer-specific assessment tools to measure health care performance have been developed. However, reporting on quality indicators at a population level is uncommon. We describe the development and implementation of a Cancer Quality Index (CQI) and examine the sensitivity of the index to detect change over time. METHODS: In developing the CQI, we reviewed existing indices, guidelines, and cancer care pathways. Our choice of indicators was additionally guided by the availability of population-wide data. A series of pilot indicators underwent trial use and were evaluated, and outcomes were discussed before a final set of indicators was established. The process was overseen by a clinician-led quality assurance committee that included hospital administrators and data custodians. RESULTS: The CQI includes five quality dimensions and 16 indicators for public and private cancer services using population-wide information. The following are the five indicators: Effective, Efficient, Safe, Accessible, and Equitable. We demonstrated the sensitivity of the CQI to measure change over time by examining outcomes such as time to first treatment and 30-day surgical mortality, using linked cancer registry and health administrative data for 99,728 patients with cancer diagnosed between 2005 and 2009 and 2010 and 2014. CONCLUSION: The CQI is a valuable tool to track progress in delivering safe, quality cancer care within health care services. Critical to its development and implementation has been the involvement of clinicians from several disciplines and the availability of population-based data. We found the CQI to be a sensitive tool able to detect changes over time.

Outcomes following radical cystectomy: a population-based study from Queensland, Australia.

BACKGROUND: Radical cystectomy (RC) is a complex uro-oncology surgical procedure with high surgical morbidity. We report on outcomes following RC for bladder cancer using a population-based cohort of patients. METHODS: Patients receiving an RC from 2002 to 2016 were included and linked to their cancer-related surgical procedures. Hospitals were categorized as high (>7 RCs/year) and low (≤7 RCs/year). Outcomes included 30- and 90-day mortalities and 2-year overall survival (OS). Multivariable logistic regression models were used to examine factors associated with the outcomes of interest. OS was estimated using the Kaplan-Meier survival function. RESULTS: During the 15-year study period, 1230 patients underwent an RC for invasive bladder cancer. In-hospital mortality was 1.1%, and 30- and 90-day mortality was 1.4% and 2.9%, respectively. Both 30- and 90-day mortalities were significantly higher for older versus younger patients (P = 0.01 and P < 0.001, respectively), and lymph node involvement was significantly associated with 90-day mortality (P = 0.002). Patients treated more recently were about 80% less likely to die within 90 days. The 2-year OS was 71.5%, with significant improvements observed over time (P < 0.001). While we found no evidence of a hospital-volume relationship for post-operative mortality or survival, patients treated in low-volume compared to high-volume hospitals were more likely to have surgical margin involvement (10.9% versus 7.1%, respectively, P = 0.03). CONCLUSION: We observed low post-operative mortality rates overall, with rates decreasing significantly over time. Some subgroups of patients experience poorer post-operative outcomes. Reporting on post-operative outcomes, and survival over time helps monitor clinical progress and identify areas for improvement.