716 resultados para population-based cohort
Resumo:
Background: To investigate the association between post-diagnostic beta-blocker usage and risk of cancer-specific mortality in a large population-based cohort of female breast cancer patients.
Methods: A nested case-control study was conducted within a cohort of breast cancer patients identified from cancer registries in England(using the National Cancer Data repository) and diagnosed between 1998 and 2007. Patients who had a breast cancer-specific death(ascertained from Office of National Statistics death registration data) were each matched to four alive controls by year and age at diagnosis. Prescription data for these patients were available through the Clinical Practice Research Datalink. Conditional logistic regression models were used to investigate the association between breast cancer-specific death and beta-blocker usage.
Results: Post-diagnostic use of beta-blockers was identified in 18.9% of 1435 breast cancer-specific deaths and 19.4% of their 5697 matched controls,indicating little evidence of association between beta-blocker use and breast cancer-specific mortality [odds ratio (OR) = 0.97,95% confidence interval (CI) 0.83, 1.13]. There was also little evidence of an association when analyses were restricted to cardio non-selective beta-blockers (OR = 0.90, 95% CI 0.69, 1.17). Similar results were observed in analyses of drug dosage frequency and duration, and beta-blocker type.
Conclusions: In this large UK population-based cohort of breast cancer patients,there was little evidence of an association between post-diagnostic beta-blocker usage and breast cancer progression. Further studies which include information on tumour receptor status are warranted to determine whether response to beta-blockers varies by tumour subtypes.
Resumo:
Background: More effective treatments have become available for haematological malignancies from the early 2000s, but few large-scale population-based studies have investigated their effect on survival. Using EUROCARE data, and HAEMACARE morphological groupings, we aimed to estimate time trends in population-based survival for 11 lymphoid and myeloid malignancies in 20 European countries, by region and age. Methods: In this retrospective observational study, we included patients (aged 15 years and older) diagnosed with haematological malignancies, diagnosed up to Dec 31, 2007, and followed up to Dec 31, 2008. We used data from the 30 cancer registries (across 20 countries) that provided continuous incidence and good quality data from 1992 to 2007. We used a hybrid approach to estimate age-standardised and age-specific 5-year relative survival, for each malignancy, overall and for five regions (UK, and northern, central, southern, and eastern Europe), and four 3-year periods (1997–99, 2000–02, 2003–05, 2006–08). For each malignancy, we also estimated the relative excess risk of death during the 5 years after diagnosis, by period, age, and region. Findings: We analysed 560 444 cases. From 1997–99 to 2006–08 survival increased for most malignancies: the largest increases were for diffuse large B-cell lymphoma (42·0% [95% CI 40·7–43·4] to 55·4% [54·6–56·2], p<0·0001), follicular lymphoma (58·9% [57·3–60·6] to 74·3% [72·9–75·5], p<0·0001), chronic myeloid leukaemia (32·3% [30·6–33·9] to 54·4% [52·5–56·2], p<0·0001), and acute promyelocytic leukaemia (50·1% [43·7–56·2] to 61·9% [57·0–66·4], p=0·0038, estimate not age-standardised). Other survival increases were seen for Hodgkin's lymphoma (75·1% [74·1–76·0] to 79·3% [78·4–80·1], p<0·0001), chronic lymphocytic leukaemia/small lymphocytic lymphoma (66·1% [65·1–67·1] to 69·0% [68·1–69·8], p<0·0001), multiple myeloma/plasmacytoma (29·8% [29·0–30·6] to 39·6% [38·8–40·3], p<0·0001), precursor lymphoblastic leukaemia/lymphoma (29·8% [27·7–32·0] to 41·1% [39·0–43·1], p<0·0001), acute myeloid leukaemia (excluding acute promyelocytic leukaemia, 12·6% [11·9–13·3] to 14·8% [14·2–15·4], p<0·0001), and other myeloproliferative neoplasms (excluding chronic myeloid leukaemia, 70·3% [68·7–71·8] to 74·9% [73·8–75·9], p<0·0001). Survival increased slightly in southern Europe, more in the UK, and conspicuously in northern, central, and eastern Europe. However, eastern European survival was lower than that for other regions. Survival decreased with advancing age, and increased with time only slightly in patients aged 75 years or older, although a 10% increase in survival occurred in elderly patients with follicular lymphoma, diffuse large B-cell lymphoma, and chronic myeloid leukaemia. Interpretation: These trends are encouraging. Widespread use of new and more effective treatment probably explains much of the increased survival. However, the persistent differences in survival across Europe suggest variations in the quality of care and availability of the new treatments. High-resolution studies that collect data about stage at diagnosis and treatments for representative samples of cases could provide further evidence of treatment effectiveness and explain geographic variations in survival.
Resumo:
The role of bacteria and viruses as aetiological agents in the pathogenesis of cancer has been well established for several sites, including a number of haematological malignancies. Less clear is the impact of such exposures on the subsequent development of multiple myeloma (MM). Using the population-based U.S. Surveillance Epidemiology and End Results-Medicare dataset, 15,318 elderly MM and 200,000 controls were identified to investigate the impact of 14 common community-acquired infections and risk of MM. Odds ratios (ORs) and associated 95% confidence intervals (CIs) were adjusted for sex, age and calendar year of selection. The 13-month period prior to diagnosis/selection was excluded. Risk of MM was increased by 5-39% following Medicare claims for eight of the investigated infections. Positive associations were observed for several infections including bronchitis (adjusted OR 1.14, 95% CI 1.09-1.18), sinusitis (OR 1.15, 95% CI 1.10-1.20) pneumonia (OR 1.27, 95% CI 1.21-1.33), herpes zoster (OR 1.39, 95% CI 1.29-1.49) and cystitis (OR 1.09, 95% CI 1.05-1.14). Each of these infections remained significantly elevated following the exclusion of more than 6 years of claims data. Exposure to infectious antigens may therefore play a role in the development of MM. Alternatively, the observed associations may be a manifestation of an underlying immune disturbance present several years prior to MM diagnosis and thereby part of the natural history of disease progression.
Resumo:
INTRODUCTION: Recent observational studies indicate that post-diagnostic use of aspirin in breast cancer patients may protect against cancer progression perhaps by inhibiting cyclooxygenase-2 dependent mechanisms. Evidence also supports a crucial role for interactions between tumour cells and circulating platelets in cancer growth and dissemination, therefore, use of low-dose aspirin may reduce the risk of death from cancer in breast cancer patients.
METHODS: A cohort of newly diagnosed breast cancer patients (1998 to 2006) were identified in the UK Clinical Practice Research Datalink (and confirmed by cancer registry linkage). Cancer-specific deaths were identified up to 2011 from Office for National Statistics mortality data. A nested case-control analysis was conducted using conditional logistic regression to compare post-diagnostic aspirin exposure using General Practice prescription data in 1,435 cases (breast cancer deaths) with 5,697 controls (matched by age and year of diagnosis).
RESULTS: After breast cancer diagnosis, 18.3% of cancer-specific deaths and 18.5% of matched controls received at least one prescription for low-dose aspirin, corresponding to an odds ratio (OR) of 0.98 (95% CI 0.83, 1.15). Adjustment for potential confounders (including stage and grade) had little impact on this estimate. No dose response relationship was observed when the number of tablets was investigated and no associations were seen when analyses were stratified by receipt of prescriptions for aspirin in the pre-diagnostic period, by stage at diagnosis or by receipt of prescriptions for hormone therapy.
CONCLUSIONS: Overall, in this large population-based cohort of breast cancer patients, there was little evidence of an association between receipt of post-diagnostic prescriptions for low-dose aspirin and breast cancer-specific death. However, information was not available on medication compliance or over-the-counter use of aspirin, which may have contributed to the null findings.
Resumo:
Background:
Men and clinicians need reliable population based information when making decisions about investigation and treatment of prostate cancer. In the absence of clearly preferred treatments, differences in outcomes become more important.
Aim:
To investigate rates of adverse physical effects among prostate cancer survivors 2-15 years post diagnosis by treatment, and estimate population burden.
Methods:
A cross sectional, postal survey to 6,559 survivors (all ages) diagnosed with primary, invasive prostate cancer (ICD10-C61), identified in Northern Ireland and the Republic of Ireland via cancer registries. Questions included symptoms at diagnosis, treatments received and adverse physical effects (impotence, urinary incontinence, bowel problems, breast changes, libido loss, hot flashes, fatigue) experienced ‘ever’ and ‘current’ i.e. at questionnaire completion. Physical effect levels were weighted by age, country and time since diagnosis for all prostate cancer survivors. Bonferroni corrections were applied to account for multiple comparisons.
Results:
Adjusted response rate 54%, (n=3,348). 75% reported at least one current physical effect (90% ever), with 29% reporting at least three. These varied by treatment. Current impotence was reported by 76% post-prostatectomy, 64% post-external beam radiotherapy with hormone therapy, with average for all survivors of 57%. Urinary incontinence (overall current level: 16%) was highest post-prostatectomy (current 28%, ever 70%). 42% of brachytherapy patients reported no current adverse physical effects; however 43% reported current impotence and 8% current incontinence. Current hot flashes (41%), breast changes (18%) and fatigue (28%) were reported more commonly by patients on hormone therapy.
Conclusions:
This study provides evidence that adverse physical effects following prostate cancer represent a significant public health burden; an estimated 1.6% of men over 45 is a prostate cancer survivor with a current adverse physical effect. This information should facilitate investigation and treatment decision-making and follow-up care of patients.
Resumo:
Aims: Systematic review of mortality in childhood-/adolescent-diagnosed Type 1 diabetes and examination of factors explaining the mortality variation between studies.
Methods: Relevant studies were identified from systematic searches of MEDLINE and EMBASE. Observed and expected numbers of deaths were extracted, and standardised mortality ratios (SMRs) and 95 % confidence intervals (CIs) were calculated. Negative binomial regression was used to investigate association between mortality and study/country characteristics.
Results: Thirteen relevant publications with mortality data were identified describing 23 independent studies. SMRs varied markedly ranging from 0 to 854 (chi-squared = 70.68,df = 21, p<0.0001). Significant associations were observed between SMR and mid-year of follow-up [incidence rate ratio (IRR) 0.95, 95 % CI 0.91–0.99 equivalent to a 5 % decrease per year], between SMR and infant mortality rate (IRR 1.07, 95 % CI 1.02–1.12, a 7 % increase for each death per 1,000 live births) and, after omitting an outlier, between SMR and health expenditure as a percentage of gross domestic product (GDP) (IRR 0.79, 95 % CI 0.68–0.93, a 21 % decrease for each one percent increase in GDP). No relationship was detected between SMR and a country’s childhood diabetes incidence rate or GDP.
Conclusions: Excess mortality in childhood-/adolescent diagnosed Type 1 diabetes is apparent across countries worldwide. Excesses were less marked in more recent studies and in countries with lower infant mortality and higher health expenditure.
