23 research outputs found

    Substantial variation in therapy for colorectal cancer across Europe: EUROCARE analysis of cancer registry data for 1987

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    To provide a quantitative description of the treatments applied to malignant colorectal cancer across Europe, we analysed all cases (11 333) of colorectal cancer registered in 1987 by 15 Cancer Registries in eight European countries. In a third of cancer registries, therapy was known for all cases, in the others 1-15% of registrations lacked treatment information. Eighty per cent of all patients received surgical resection, ranging from 58% (Estonia) to 92% (Tarn). The proportion of resections decreased with advancing age (85-73% for colon cancer; 85-70% for rectal cancer for 74 years, respectively). Only 4% of colon cancer patients received adjuvant or palliative chemotherapy, range 1-12%. Sixteen per cent of rectal cancer patients received radiotherapy with great inter-registry variability (1-43%). Since the proportion of surgically resected patients correlated positively with the 5-year relative survival probability reported by the recently published EUROCARE study, this may be part of the explanation for the major differences in survival for these cancers among different European populations. The most likely determinant of this correlation is stage at diagnosis, but, quality of, and access to surgery, as well as access to endoscopy, may differ among countries and registry areas, and these may also contribute to inter-country survival differences. Copyrigh

    Hospital-treated infectious diseases and the risk of dementia : a large, multicohort, observational study with a replication cohort

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    Background Infections have been hypothesised to increase the risk of dementia. Existing studies have included a narrow range of infectious diseases, relied on short follow-up periods, and provided little evidence for whether the increased risk is limited to specific dementia subtypes or attributable to specific microbes rather than infection burden. We aimed to compare the risk of Alzheimer's disease and other dementias across a wide range of hospital-treated bacterial and viral infections in two large cohorts with long follow-up periods. Methods In this large, multicohort, observational study, the analysis was based on a primary cohort consisting of pooled individual-level data from three prospective cohort studies in Finland (the Finnish Public Sector study, the Health and Social Support study, and the Still Working study) and an independent replication cohort from the UK Biobank. Community-dwelling adults (>= 18 years) with no dementia at study entry were included. Follow-up was until Dec 31, 2012, in the Health and Social Support study, Dec 31, 2016, in the public sector study and the Still Working study, and Feb 7, 2018, in the replication cohort. Through record linkage to national hospital inpatient registers, we ascertained exposure to 925 infectious diseases (using the International Classification of Diseases 10th Revision codes) before dementia onset, and identified incident dementia from hospital records, medication reimbursement entitlements, and death certificates. Hazard ratios (HRs) for the associations of each infectious disease or disease group (index infection) with incident dementia were assessed by use of Cox proportional hazards models. We then repeated the analysis after excluding incident dementia cases that occurred during the first 10 years after initial hospitalisation due to the index infection. Findings From March 1, 1986, to an 1, 2005, 260 490 people were included in the primary cohort, and from Dec 19, 2006, to Oct 1, 2010, 485 708 people were included in the replication cohort. In the primary cohort analysis based on 3 947 046 person-years at risk (median follow-up 15.4 years [IQR 9- 8-21- 0]), 77108 participants had at least one hospital-treated infection before dementia onset and 2768 developed dementia. Hospitalisation for any infectious disease was associated with increased dementia risk in the primary cohort (adjusted HR laHRI 1.48 [95% CI 1. 37-1- 60]) and replication cohort (2.60 [2. 38-2- 83]). The association remained when analyses were restricted to new dementia cases that occurred more than 10 years after infection (aHR 1.22 [95% CI 1.09-1.36] in the primary cohort, the replication cohort had insufficient follow-up data for this analysis), and when comorbidities and other dementia risk factors were considered. There was evidence of a dose-response association between the number of episodes of hospital-treated infections and dementia risk in both cohorts (p(trend) =0- 0007). Although the greatest dementia risk was seen for central nervous system (CNS) infections versus no infection (aHR 3.01 [95% CI 2- 07-4 center dot 37]), excess risk was also evident for extra-CNS infections (1.47 [1.36-1.59]). Although we found little difference in the infection-dementia association by type of infection, associations were stronger for vascular dementia than for Alzheimer's disease (aHR 2.09 [95% CI 1- 59-2- 75] versus aHR 1.20 [1.08-1.33] in the primary cohort and aHR 3.28 [2- 65-4 center dot 04] versus aHR 1.80 [1.53-2-13] in the replication cohort). Interpretation Severe infections requiring hospital treatment are associated with long-term increased risk of dementia, including vascular dementia and Alzheimer's disease. This association is not limited to CNS infections, suggesting that systemic effects are sufficient to affect the brain. The absence of infection specificity combined with evidence of dose-response relationships between infectious disease burden and dementia risk support the hypothesis that increased dementia risk is driven by general inflammation rather than specific microbes. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.Peer reviewe

    Hospital-treated infectious diseases and the risk of dementia: a large, multicohort, observational study with a replication cohort

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    Background Infections have been hypothesised to increase the risk of dementia. Existing studies have included a narrow range of infectious diseases, relied on short follow-up periods, and provided little evidence for whether the increased risk is limited to specific dementia subtypes or attributable to specific microbes rather than infection burden. We aimed to compare the risk of Alzheimer's disease and other dementias across a wide range of hospital-treated bacterial and viral infections in two large cohorts with long follow-up periods.Methods In this large, multicohort, observational study, the analysis was based on a primary cohort consisting of pooled individual-level data from three prospective cohort studies in Finland (the Finnish Public Sector study, the Health and Social Support study, and the Still Working study) and an independent replication cohort from the UK Biobank. Community-dwelling adults (>= 18 years) with no dementia at study entry were included. Follow-up was until Dec 31, 2012, in the Health and Social Support study, Dec 31, 2016, in the public sector study and the Still Working study, and Feb 7, 2018, in the replication cohort. Through record linkage to national hospital inpatient registers, we ascertained exposure to 925 infectious diseases (using the International Classification of Diseases 10th Revision codes) before dementia onset, and identified incident dementia from hospital records, medication reimbursement entitlements, and death certificates. Hazard ratios (HRs) for the associations of each infectious disease or disease group (index infection) with incident dementia were assessed by use of Cox proportional hazards models. We then repeated the analysis after excluding incident dementia cases that occurred during the first 10 years after initial hospitalisation due to the index infection.Findings From March 1, 1986, to an 1, 2005, 260 490 people were included in the primary cohort, and from Dec 19, 2006, to Oct 1, 2010, 485 708 people were included in the replication cohort. In the primary cohort analysis based on 3 947 046 person-years at risk (median follow-up 15.4 years [IQR 9- 8-21- 0]), 77108 participants had at least one hospital-treated infection before dementia onset and 2768 developed dementia. Hospitalisation for any infectious disease was associated with increased dementia risk in the primary cohort (adjusted HR laHRI 1.48 [95% CI 1. 37-1- 60]) and replication cohort (2.60 [2. 38-2- 83]). The association remained when analyses were restricted to new dementia cases that occurred more than 10 years after infection (aHR 1.22 [95% CI 1.09-1.36] in the primary cohort, the replication cohort had insufficient follow-up data for this analysis), and when comorbidities and other dementia risk factors were considered. There was evidence of a dose-response association between the number of episodes of hospital-treated infections and dementia risk in both cohorts (p(trend) =0- 0007). Although the greatest dementia risk was seen for central nervous system (CNS) infections versus no infection (aHR 3.01 [95% CI 2- 07-4 center dot 37]), excess risk was also evident for extra-CNS infections (1.47 [1.36-1.59]). Although we found little difference in the infection-dementia association by type of infection, associations were stronger for vascular dementia than for Alzheimer's disease (aHR 2.09 [95% CI 1- 59-2- 75] versus aHR 1.20 [1.08-1.33] in the primary cohort and aHR 3.28 [2- 65-4 center dot 04] versus aHR 1.80 [1.53-2-13] in the replication cohort).Interpretation Severe infections requiring hospital treatment are associated with long-term increased risk of dementia, including vascular dementia and Alzheimer's disease. This association is not limited to CNS infections, suggesting that systemic effects are sufficient to affect the brain. The absence of infection specificity combined with evidence of dose-response relationships between infectious disease burden and dementia risk support the hypothesis that increased dementia risk is driven by general inflammation rather than specific microbes. </p

    Cancer survival in the elderly: Effects of socio-economic factors and health care system features (ELDCARE project)

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    The purpose of the ELDCARE project is to study differences in cancer survival for elderly patients by country, taking into account the socio-economic conditions and the characteristics of health care systems at the ecological level. Fifty-three European cancer registries, from 19 countries, participating in the EUROCARE 3 programme, collected information to compute relative survival on patients aged 65-84 years, diagnosed over the period 1990-1994. National statistics offices provided the macro-economic and labour force indicators (gross domestic product, total health expenditure, and proportion of people employed in the agriculture sector) as well as the features of national health care systems. Survival for several of the cancer sites had high positive Pearson's correlations (r) with the affluence indicators (usually r > 0.7), but survival for the poor prognosis cancers (lung, ovary, stomach) and for cervix uteri was not so well correlated. Among the medical resources considered, the number of computed tomography scanners was the variable most related to survival in the elderly; the number of total health practitioners in the country did not show any relationship. Survival was related to the marital status of elderly women more strongly than for men and younger people. The highest correlations of survival with the percentage of married elderly women in the population were for cancers of the rectum (r = 0.79) and breast (r = 0.66), while survival correlated negatively with the proportion of widows for most cancers. Being married or widowed is for elderly people, in particular elderly women, an important factor influencing psychological status, life habits and social relationships. Social conditions could play a major role in determining health outcomes, particularly in the elderly, by affecting access to health care and delay in diagnosis

    Impacts of the Finnish service screening programme on breast cancer rates

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    <p>Abstract</p> <p>Background</p> <p>The aim of the current study was to examine impacts of the Finnish breast cancer (BC) screening programme on the population-based incidence and mortality rates. The programme has been historically targeted to a rather narrow age band, mainly women of ages 50–59 years.</p> <p>Methods</p> <p>The study was based on the information on breast cancer during 1971–2003 from the files of the Finnish Cancer Registry. Incidence, cause-specific mortality as well as incidence-based (refined) mortality from BC were analysed with Poisson regression. Age-specific incidence and routine cause-specific mortality were estimated for the most recent five-year period available; incidence-based mortality, respectively, for the whole steady state of the programme, 1992–2003.</p> <p>Results</p> <p>There was excess BC incidence with actual screening ages; incidence in ages 50–69 was increased 8% (95 CI 2.9–13.4). There was an increasing temporal tendency in the incidence of localised BC; and, respectively, a decrease in that of non-localised BC. The latter was most consistent in age groups where screening had been on-going several years or eventually after the last screen. The refined mortality rate from BC diagnosed in ages 50–69 was decreased with -11.1% (95% CI -19.4, -2.1).</p> <p>Conclusions</p> <p>The current study demonstrates that BC screening in Finland is effective in reducing mortality rates from breast cancers, even though the impact on the population level is smaller than expected based on the results from randomised trials among women screened in age 50 to 69. This may be explained by the rather young age group targeted in our country. Consideration whether to targeted screening up to age 69 is warranted.</p

    DNA methylation signatures of aggression and closely related constructs : A meta-analysis of epigenome-wide studies across the lifespan

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    DNA methylation profiles of aggressive behavior may capture lifetime cumulative effects of genetic, stochastic, and environmental influences associated with aggression. Here, we report the first large meta-analysis of epigenome-wide association studies (EWAS) of aggressive behavior (N = 15,324 participants). In peripheral blood samples of 14,434 participants from 18 cohorts with mean ages ranging from 7 to 68 years, 13 methylation sites were significantly associated with aggression (alpha = 1.2 x 10(-7); Bonferroni correction). In cord blood samples of 2425 children from five cohorts with aggression assessed at mean ages ranging from 4 to 7 years, 83% of these sites showed the same direction of association with childhood aggression (r = 0.74, p = 0.006) but no epigenome-wide significant sites were found. Top-sites (48 at a false discovery rate of 5% in the peripheral blood meta-analysis or in a combined meta-analysis of peripheral blood and cord blood) have been associated with chemical exposures, smoking, cognition, metabolic traits, and genetic variation (mQTLs). Three genes whose expression levels were associated with top-sites were previously linked to schizophrenia and general risk tolerance. At six CpGs, DNA methylation variation in blood mirrors variation in the brain. On average 44% (range = 3-82%) of the aggression-methylation association was explained by current and former smoking and BMI. These findings point at loci that are sensitive to chemical exposures with potential implications for neuronal functions. We hope these results to be a starting point for studies leading to applications as peripheral biomarkers and to reveal causal relationships with aggression and related traits.Peer reviewe

    The Forward Physics Facility at the High-Luminosity LHC

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    Estimating multilevel regional variation in excess mortality of cancer patients using integrated nested Laplace approximation

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    Abstract Models of excess mortality with random effects were used to estimate regional variation in relative or net survival of cancer patients. Statistical inference for these models based on the Markov chain Monte Carlo (MCMC) methods is computationally intensive and, therefore, not feasible for routine analyses of cancer register data. This study assessed the performance of the integrated nested Laplace approximation (INLA) in monitoring regional variation in cancer survival. Poisson regression model of excess mortality including both spatially correlated and unstructured random effects was fitted to the data of patients diagnosed with ovarian and breast cancer in Finland during 1955–2014 with follow up from 1960 through 2014 by using the period approach with five‐year calendar time windows. We estimated standard deviations associated with variation (i) between hospital districts and (ii) between municipalities within hospital districts. Posterior estimates based on the INLA approach were compared to those based on the MCMC simulation. The estimates of the variation parameters were similar between the two approaches. Variation within hospital districts dominated in the total variation between municipalities. In 2000–2014, the proportion of the average variation within hospital districts was 68% (95% posterior interval: 35–93%) and 82% (60–98%) out of the total variation in ovarian and breast cancer, respectively. In the estimation of regional variation, the INLA approach was accurate, fast, and easy to implement by using the R‐INLA package

    Assessment of body composition by dual-energy X-ray absorptiometry, bioimpedance analysis and anthropometrics in children: the Physical Activity and Nutrition in Children study Summary Correspondence Accepted for publication

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    Objective and methods: We compared InBody 720 segmental multifrequency bioimpedance analysis (SMF-BIA) with Lunar Prodigy Advance dual-energy X-ray absorptiometry (DXA) in assessment of body composition among 178 predominantly prepubertal children. Segmental agreement analysis of body compartments was carried out, and inter-relationships of anthropometric and other measures of body composition were defined. Moreover, the relations of different reference criteria for excess body fat were evaluated. Results: The prevalence of excess body fat varies greatly according to the used criteria. Intraclass and Pearson&apos;s correlations between SMF-BIA and DXA were &gt;0Á92 in total body and &gt;0Á74 in regional measures. SMF-BIA underestimated percentage body fat (%BF) and fat mass (FM), and overestimated lean mass (LM) and percentage LM with significant offset trend bias. Higher adiposity increased offsets, and overall agreement was poorer in girls. On average, %BF offsets (girls/boys) and limits of agreement (LA) were 3Á9/1Á6% [(À)1Á4-9Á2%/(À)3Á4-6Á7%]. Interestingly percentage offsets of fat content (%BF: 18Á9/10Á1%, FM: 18Á8/ 11Á1%) showed no significant bias trends indicating that the corresponding absolute methodological offset depends on the amount of fat content. The smallest percentage offset was found with LM: 4Á3/0Á1%, referring offset (LA) of 0Á88/ 0Á03 kg (AE2Á05/AE1Á71 kg). Correspondingly, segmental LM had poorer agreement than total body LM. All anthropometrics except for the waist-to-hip ratio showed strong correlations (r = 0Á76-0Á95) with abdominal and total body fat. Conclusion: Segmental multifrequency bioimpedance analysis is precise enough for total-LM analysis and had also sufficient trueness for total body composition analysis to be used in epidemiological purposes. There is need to generate scientifically and clinically relevant criteria and reference values for excess body fat
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