Comorbidity and survival of Danish prostate cancer patients from 2000-2011: a population-based cohort study

Incidence, mortality and survival of prostate cancer in two municipalities with a high human development index in Mato Grosso, Brazil

OBJECTIVE

To analyze the incidence, mortality and survival of prostate cancer in Cuiabá and Várzea Grande, Brazil from 2000 to 2016.

METHODS

Data from the Population-based Cancer Registry and the Mortality Information System were used. Mortality and incidence trends were analyzed using joinpoint regression models by age group. Survival analyses were performed using the Kaplan-Meier method, and hazard ratio was estimated by age group.

RESULTS

From 2000 to 2016, 3,671 new cases and 892 deaths for prostate cancer were recorded. The average incidence and mortality rates were 87.96 and 20.22 per 100,000, respectively. Decreasing incidence trend was noted for all age groups from 2006 to 2016 (APC=-3.2%) and for men with 80+ years of age from 2000 to 2016 (APC=-3.0%), and increasing mortality trend for men 60-69 years of age from 2000 to 2009 (APC=3.2%). The specific five-year survival rate for prostate cancer was 79.6% (95%CI 77.2-81.9), and the rate decreased with advanced age (HR=2.43, 95%CI 1.5-3.9, for those 70 to 79 years old and HR=7.20, 95%CI 4.5-11.5, for those 80 or older).

CONCLUSION

The incidence rate of prostate cancer showed a decreasing trend from 2006 for all age groups; the mortality rate was stable in that period, and worse prognosis was observed in men 70 years or older.

Incidência, mortalidade e sobrevida do câncer de próstata em dois municípios com alto índice de desenvolvimento humano de Mato Grosso, Brasil

RESUMO: Objetivo: Analisar a incidência, a mortalidade e a sobrevida por câncer de próstata em Cuiabá e Várzea Grande, no período de 2000 a 2016. Métodos: Foram utilizados os dados do Registro de Câncer de Base Populacional e do Sistema de Informações sobre Mortalidade. Para a análise de tendência da incidência e mortalidade, foi utilizada a regressão por Joinpoint segundo faixa etária. Para estimar a probabilidade de sobrevivência foi utilizado o método de Kaplan-Meier e, para avaliar a associação com a faixa etária, foi estimado o hazard ratio (HR). Resultados: De 2000 a 2016, registraram-se 3.671 casos novos e 892 óbitos por câncer de próstata. A média das taxas no período (100.000 habitantes) foi de 87,96 para incidência e 20,22 para mortalidade. Verificou-se tendência decrescente da taxa de incidência para todas as idades de 2006 a 2016 (variação percentual anual — APC=-3,2%) e para homens com 80 anos ou mais de 2000 a 2016 (APC=-3,0%), bem como tendência crescente da taxa de mortalidade nos homens de 60–69 anos de 2000 a 2009 (APC=3,2%). A probabilidade de sobrevida específica em cinco anos foi de 79,6% (intervalo de confiança — IC95%: 77,2; 81,9) e diminuiu com o aumento da faixa etária (HR=2,43; IC95%: 1,5; 3,9 para aqueles de 70 a 79 anos e HR= 7,20; IC95%: 4,5;11,5 para aqueles de 80 anos ou mais). Conclusão: A taxa de incidência de câncer de próstata apresentou tendência de decréscimo a partir de 2006 para todas as idades, a taxa de mortalidade foi estável no período e o pior prognóstico foi observado em homens com 70 anos ou mais.

Unrelated Death After Colorectal Cancer Screening: Implications for Improving Colonoscopy Referrals

The observed mortality < 5 years after the index colonoscopy lowered the overall impact of screening, which should prompt health care providers to perform a more thorough assessment of the potential reduced benefit for individual veterans when incorporating cancer risk, comorbidity burden, and age-based criteria.

A systematic review of the prevalence of comorbid cancer and dementia and its implications for cancer-related care

OBJECTIVES

A comorbid diagnosis of cancer and dementia (cancer-dementia) may have unique implications for patient cancer-related experience. The objectives were to estimate prevalence of cancer-dementia and related experiences of people with dementia, their carers and cancer clinicians including cancer screening, diagnosis, treatment and palliative care.

METHOD

Databases were searched (CINAHL, Psychinfo, Medline, Embase, BNI) using key terms such as dementia, cancer and experience. Inclusion criteria were as follows: (a) English language, (b) published any time until early 2016, (c) diagnosis of cancer-dementia and (d) original articles that assessed prevalence and/or cancer-related experiences including screening, cancer treatment and survival. Due to variations in study design and outcomes, study data were synthesised narratively.

RESULTS

Forty-seven studies were included in the review with a mix of quantitative (n = 44) and qualitative (n = 3) methodologies. Thirty-four studies reported varied cancer-dementia prevalence rates (range 0.2%-45.6%); the others reported reduced likelihood of receiving: cancer screening, cancer staging information, cancer treatment with curative intent and pain management, compared to those with cancer only. The findings indicate poorer cancer-related clinical outcomes including late diagnosis and higher mortality rates in those with cancer-dementia despite greater health service use.

CONCLUSIONS

There is a dearth of good-quality evidence investigating the cancer-dementia prevalence and its implications for successful cancer treatment. Findings suggest that dementia is associated with poorer cancer outcomes although the reasons for this are not yet clear. Further research is needed to better understand the impact of cancer-dementia and enable patients, carers and clinicians to make informed cancer-related decisions.

The impact of comorbidity on mortality in Danish sarcoma patients from 2000-2013: A nationwide population-based multicentre study

INTRODUCTION

Sarcoma is a rare type of cancer. The incidence increases with age and elderly patients may have comorbidity that affects the prognosis. The aim of this study was to describe the type and prevalence of comorbidity in a nationwide population-based study in Denmark from 2000-2013 and to analyse the impact of the different comorbidities on mortality.

MATERIAL AND METHODS

The Danish Sarcoma Registry is a national clinical database containing all patients with sarcoma in the extremities or trunk wall from 2000 and onwards. By linking data to other registries, we were able to get patient information on an individual level including date and cause of death as well as the comorbidity type up to 10 years prior to the sarcoma diagnosis. Based on diseases in the Charlson Comorbidity Index, we pooled the patients into six categories: no comorbidity, cardiopulmonary disease, gastrointestinal disease, neurovascular disease, malignant neoplasms, and miscellaneous (diabetes, renal and connective tissue diseases). 2167 patients were included.

RESULTS

The prevalence of comorbidity was 20%. For patients with localized disease, comorbidity increased the disease-specific mortality significantly (HR 1.70 (95% CI 1.36-2.13)). For patients with metastatic disease at the time of diagnosis, comorbidity did not affect the disease-specific mortality (HR 1.05 (95% CI 0.78-1.42)). The presence of another cancer diagnosis within 10 years prior to the sarcoma diagnosis was the only significant independent prognostic factor of disease-specific mortality with an increase of 66% in mortality rate compared to patients with no comorbidity (HR 1,66 (95% CI 1.22-2.25)).

CONCLUSION

Comorbidity is a strong independent prognostic factor of mortality in patients with localized disease. This study emphasizes the need for optimizing the general health of comorbid patients in order to achieve a survival benefit from treatment of patients with localized disease, as this is potentially modifiable.

Patient survival and risk of death after prostate cancer treatment in the Brazilian Unified Health System

OBJECTIVE

Analyze the probability of specific survival and factors associated with the risk of death of patients with prostate cancer who received outpatient cancer treatment in the Brazilian Unified Health System, Brazil.

METHODS

Retrospective cohort study using the National Database of Oncology, developed through the deterministic-probabilistic pairing of health information systems: outpatient (SIA), hospital (SIH) and mortality (SIM). The probability of overall and specific survival was estimated by the time elapsed between the date of the first ambulatory treatment, from 2002 to 2003, until the patient’s death or the end of the study. Fine and Gray’s model of competing-risks regression was adjusted according to the variables: age of diagnostic, region of residence, tumor clinical staging, type of outpatient cancer treatment and hospitalization in the assessment of factors associated with risk of patient death.

RESULTS

Of 16,280 patients studied, the average age was 70 years, approximately 25% died due to prostate cancer and 20% for other causes. The probability of overall survival was 0.50 (95%CI 0.49–0.52) and the specific was 0.70 (95%CI 0.69–0.71). The factors associated with the risk of patient death were: stage III (HR = 1.66; 95%CI 1.39–1.99) and stage IV (HR = 3.49; 95%CI 2.91–4.18), chemotherapy (HR = 2.34; 95%CI 1.76–3.11) and hospitalization (HR = 1.6; 95%CI 1.55–1.79).

CONCLUSIONS

The late diagnosis of the tumor, palliative treatments, and worse medical condition were factors related to the worst survival and increased risk of death from prostate cancer patients in Brazil.

Comorbidity as a predictor of overall survival in prostate cancer patients treated with external beam radiotherapy combined with HDR brachytherapy boosts

BACKGROUND

The risk stratification currently applied prior to curative treatment for localized prostate cancer (PC) does not take into account comorbidity or age. Therefore, we investigated the impact of comorbidity on overall survival (OS) in PC patients treated with external beam radiotherapy (EBRT) and high-dose rate (HDR) brachytherapy boost.

MATERIAL AND METHODS

At a single center, 611 consecutive patients diagnosed with localized PC from 1998 to 2004 underwent definitive EBRT (50 Gy) and HDR brachytherapy boosts (2 × 10 Gy) combined with neoadjuvant total androgen blockade. Comorbidity was assessed with the Charlson comorbidity score. The impact of risk factors on OS and disease-free survival (DFS) was calculated using Cox proportional hazard ratios. Risk groups were defined as follows: low-risk PC: PSA <10, WHO grade 1 and T stage 1; high-risk PC: PSA >20 and/or WHO grade 3 and/or T stage 3a; intermediate-risk PC representing patients who did not fit either the low- or high-risk PC group.

RESULTS

Mean age in the study cohort was 66.4 years, and 51% of the patients reported some degree of comorbidity. Divided into risk groups 8.2% were categorized as low-risk, 64% as intermediate-risk and 27.8% as high-risk PC. Overall 10-year survival was 72.2%, and 89% of the patients were relapse-free. In the univariate and multivariate analyses using Cox proportional hazard ratios, age, comorbidity and T stage were statistically significant predictors of OS: hazard ratios 1.56, 1.44 and 1.2 (p-values .002, .04 and .05), respectively. WHO grade, PSA at diagnosis, T stage and comorbidity were also significant predictors of DFS (p-values .0001, .0001, .009 and .003, respectively).

CONCLUSION

Comorbidity assessed with the Charlson score predicts OS in patients with localized PC treated with curative intent using combined EBRT and HDR brachytherapy boost, and should be considered when making decisions before radical treatment.

Does comorbidity interact with prostate cancer to increase mortality? A Danish cohort study of 45 326 prostate cancer patients diagnosed during 1995-2011

BACKGROUND

Many prostate cancer patients die of other causes, but it remains unknown whether comorbidity interacts synergistically with prostate cancer to increase the mortality rate beyond that explained by the individual risks of comorbidity and prostate cancer.

METHODS

A nationwide cohort study of 45 326 Danish prostate cancer patients diagnosed during 1995-2011, each matched to approximately five men from the general population on age and individual comorbidities in the Charlson Comorbidity Index (CCI). We calculated five-year mortality rates and interaction contrasts as a measure of the excess mortality rate explained by synergy between prostate cancer and comorbidity.

RESULTS

Five-year mortality was 46.8% in prostate cancer patients and 25.8% in matched men from the general population. For prostate cancer patients with a CCI score of 2-3, the mortality rate was 250 per 1000 person-years [95% confidence interval (CI): 236, 263], and interaction between comorbidity and prostate cancer accounted for 20% of the total mortality rate (50 deaths per 1000 person-years, 95% CI 35, 65) in the first year following cancer diagnosis. The interaction was mainly present for patients with metastatic disease and those not treated with prostatectomy.

CONCLUSION

Up to 20% of all deaths among men who had both prostate cancer and comorbidities could be explained by the comorbidity-prostate cancer interaction. The mortality attributable to comorbidity itself and the mortality attributable to the interaction may be reduced by successful treatment of the comorbidity.

Prostate cancer, comorbidity, and the risk of venous thromboembolism: A cohort study of 44,035 Danish prostate cancer patients, 1995-2011

BACKGROUND

Venous thromboembolism (VTE) is a serious complication of cancer. It is unknown whether comorbidity interacts clinically with prostate cancer (PC) to increase the VTE rate beyond that explained by PC and comorbidity alone, for example, by delaying diagnosis or precluding treatment.

METHODS

A nationwide, registry-based cohort study of all 44,035 Danish patients diagnosed with PC from 1995 to 2011 and 213,810 men from the general population matched 5:1 on age, calendar time, and comorbidities. The authors calculated VTE rate ratios and the interaction contrast as a measure on the additive scale of the excess VTE rate explained by synergy between PC and comorbidity.

RESULTS

In total, 849 patients in the PC cohort and 2360 men from the general population had VTE during 5 years of follow-up, and their risk of VTE was 2.2% and 1.3%, respectively. The 1-year VTE standardized rate among PC patients who had high comorbidity levels was 15 per 1000 person-years (PYs) (95% confidence interval, 6.8-24 per 1000 PYs), and 29% of that rate was explained by an interaction between PC and comorbidity. The VTE risk was increased among older patients, those with metastases, those with high Gleason scores, those in the D'Amico high-risk group, and those who underwent surgery.

CONCLUSIONS

PC interacted clinically with high comorbidity levels and increased the VTE rate. Because of the large PC burden, reducing VTEs associated with comorbidities may have an impact on VTE risk and the potential to improve prognosis. Clinical interactions between high levels of comorbidity and PC on the risk of VTE were observed. Almost 30% of all episodes of VTE occurred among patients who had high levels of comorbidity.

Prognosis, Cost, and Occurrence of Colorectal, Lung, Breast, and Prostate Cancer in Hungary

BACKGROUND

There is an increasing social debate on expenditures on the care of patients with malignant diseases, especially in Central Eastern European countries with limited health resources.

OBJECTIVES

The aim of this research was to estimate the epidemiological and quality measures and resource use indicators in Hungary in four malignant conditions (breast, colorectal, lung, and prostate cancer) from the National Health Insurance Fund (NHIF) database.

METHODS

Survival and cost analyses were performed on the NHIF database. Patient records containing the International Classification of Diseases (ICD) codes C50 (breast cancer), C18-C20 (colorectal cancer), C33-C34 (lung cancer), and C61 (prostate cancer) were considered eligible. Inclusion criteria were at least two consecutive ICD codes between 2000 and 2012, with a minimum of 30-day difference, or one ICD code, followed by patient death within 60 days. A total of 428,860 social insurance numbers met inclusion criteria.

RESULTS

The number of new cases was 6381 for breast cancer, 8457 for colorectal cancer, 8902 for lung cancer, and 3419 for prostate cancer. The probability of 5-year overall survival from the first diagnosis was 75.2%, 41.3%, 17.1%, and 62.1%, respectively. Median time from first diagnosis to treatment initiation was less than 1 month in all conditions except for lung cancer. The annual cost of treatment was €2585, €3165, €4157, and €2834, respectively. Cost figures were compared with hemophilia as benchmark (€8284).

CONCLUSIONS

The results indicated that the database of the Hungarian NHIF is suitable for real-world data analysis in the field of oncology and can support long-term evidence-based policymaking.