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Introduction: Childhood brain tumours (CBTs) are the second most common type of cancer in individuals aged 0-24 years globally and cause significant morbidity and mortality. CBT aetiology remains poorly understood, however previous studies found higher CBT incidence in high-income countries (HIC) compared to low-middle income countries (LMIC), suggesting a positive relationship between incidence and wealth., Materials & Methods: Aggregated data from Cancer Incidence in Five Continents (CI5) were used to explore CBT epidemiology. Incidence rate ratios (IRR) compared CBT rates between twenty-five geographically and economically diverse countries. The relationship between incidence and economic development was explored using linear regression models and Spearman's rank correlation tests. Trends in CBT incidence between 1978 and 2012 were investigated using average annual percentage changes (AAPC)., Results: CBT incidence was highest in North America and lowest in Africa. CBT incidence rates increased significantly with increasing GDP per capita (p = 0.006). Gini index was significantly negatively associated with CBT incidence. Incidence decreased with increasing income inequality within countries, indicated by higher Gini indices (p = 0.040). Increasing and decreasing CBT incidence trends were observed within individual countries, although only Italy (p = 0.02) and New Zealand (p < 0.005) experienced statistically significant changes over time., Conclusions: The excess disease found in HIC may be explained by environmental risk factor exposure increasing CBT risk in wealthy populations. However, systematic limitations of substandard cancer detection and reporting in LMIC may mean incidence disparities result from misinformation bias rather than genuine differences in risk factor exposure. Further research is required to comprehensively describe CBT epidemiology and explain study findings., (Crown Copyright © 2021. Published by Elsevier Ltd. All rights reserved.)

Background: Studies have shown marked improvements in survival between 1981 and 2000 for Ewing sarcoma patients but not for osteosarcoma. This study aimed to explore socio-economic patterning in early mortality rates for both tumours., Procedure: The study analysed all 2432 osteosarcoma and 1619 Ewing sarcoma cases, aged 0-49 years, diagnosed in Great Britain 1985-2008 and followed to 31/12/2009. Logistic regression models were used to calculate risk of dying within three months, six months, one year, three years and five years after diagnosis. Associations with Townsend deprivation score and its components were examined at small-area level. Urban/rural status was studied at larger regional level., Results: For osteosarcoma, after age adjustment, mortality at three months, six months and one year was associated with higher area unemployment, OR = 1.05 (95% CI 1.00, 1.10), OR = 1.04 (95% CI 1.01, 1.08) and OR = 1.04 (95% CI 1.02, 1.06) respectively per 1% increase in unemployment. Mortality at six months was associated with greater household non-car ownership, OR = 1.02 (95% CI 1.00, 1.03). For Ewing sarcoma, there were no significant associations between mortality and overall Townsend score, nor its components for any time period. For both tumours increasing mortality was associated with less urban and more remote rural areas., Conclusions: This study found that for osteosarcoma, early mortality was associated with residence at diagnosis in areas of higher unemployment, suggesting risk of early death may be socio-economically determined. For both tumours, distance from urban centres may lead to greater risk of early death., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Background: Despite strong evidence of a social gradient in cancer survival among UK adults, studies in children and young people remain inconclusive and have not included renal tumours. This study investigated the relationship between socioeconomic status and survival from renal tumours among children and young people., Procedure: Kaplan-Meier estimation and Cox regression were used to analyse survival for all 209 renal tumours in children and young people (0-24 years) diagnosed 1968-2012 and registered by a specialist population-based registry. Sociodemographic and clinicopathologic variables, including paternal occupation at birth, were also analysed., Results: No significant disparity in overall renal tumour and Wilms tumour (WT) survival was observed according to paternal social class [p=0.988 and 0.808, respectively]. The strongest predictor of survival was stage, with late stage (III-IV) disease having a 4-fold higher risk of death compared to early stage (I-II) disease [p<0.001]. Similarly, high mortality-risk was seen for late stage WT in children aged 0-14 years (Hazard Ratio=6.37; 95% CI=2.60-15.59)., Conclusions: This study did not detect a significant social gradient in renal tumour survival. The identification of tumour stage as a strong predictor of survival irrespective of age, necessitates the development of appropriate public health interventions that target early diagnosis and treatment., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Previously excesses in incident cases of leukaemia and non-Hodgkin lymphoma have been observed amongst young people born or resident in Seascale, Cumbria. These excesses have not been seen more recently. It is postulated that the former apparent increased risk was related to 'unusual population mixing', which is not present in recent years. This study investigated changes in measures of population mixing from 1951-2001. Comparisons were made between three specified areas. Area-based measures were calculated (migration, commuting, deprivation, population density). All areas have become more affluent, although Seascale was consistently the most affluent. Seascale has become less densely populated, with less migration into the ward and less diversity with respect to migrants' origin. There have been marked changes in patterns of population mixing throughout Cumbria. Lesser population mixing has been observed in Seascale in recent decades. Changes in pattern and nature of population mixing may explain the lack of recent excesses., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Purpose: Most people with epilepsy (PWE) in low-income countries are not treated. We identified risk factors for the epilepsy treatment gap in rural Tanzania., Methods: We identified adult PWE in a community-based prevalence study. Factors associated with failure to access or default from medical care were identified using logistic regression modelling., Results: A total of 291 PWE were included, of whom 253 (86.9%) had presented to medical services. Failure to present was positively associated with using alcohol (odds ratio (OR) 4.20; 95% confidence interval (CI) 1.63 to 10.82) or attending traditional healers (OR 2.62; CI 1.00 to 6.83) and inversely associated with having completed primary education (OR 0.33; CI 0.11 to 0.96). Default from treatment was associated with being male (OR 3.35; CI 1.39 to 8.09), having a seizure-related injury (OR 2.64; CI 1.12 to 6.19), believing in a supernatural cause for epilepsy (OR 5.44; CI 1.48 to 19.94) or having no expressed knowledge of cause (OR 5.29; CI 1.60 to 17.52). Cases less likely to default had a duration of epilepsy greater than 10 years (OR 0.28; CI 0.09 to 0.90) or had previously received a seizure-related diagnosis (OR 0.25; CI 0.09 to 0.65). Of all 291 PWE included, 118 denied taking AEDs; the epilepsy treatment gap in this population was therefore 40.5% (95% CI 34.9 to 46.2)., Conclusion: Interventions to improve access to education and to support formal diagnoses may promote access to, and retention under, medical care for PWE in rural Tanzania and in other low-income countries., (Crown Copyright © 2016. Published by Elsevier Ltd. All rights reserved.)

Purpose: Previous research from developed countries has shown a marked increase in the incidence of testicular cancer in the past 50 years. This has also been demonstrated in northern England, along with improving 5-year survival. The present study aims to determine if socioeconomic factors may play a role in both etiology and survival from non-seminoma testicular cancer., Materials and Methods: We extracted all 214 cases of non-seminoma testicular cancer diagnosed in teenage and young adult men aged between 15 and 24 years during 1968 to 2006 from the Northern Region Young Persons' Malignant Disease Registry, which is a population-based specialist regional registry. Negative binomial regression was used to examine the relationship between incidence and both the Townsend deprivation score (and component variables) and small-area population density. Cox regression was used to analyze the relationship between survival and both deprivation and population density., Results: Decreased incidence was associated with living in areas of higher household overcrowding for young adults aged between 20 and 24 years (relative risk per 1% increase in household overcrowding = 0.79; 95% CI: 0.66-0.94) but no association was detected for young people aged between 15 and 19 years. Community-level household unemployment was associated with worse survival (hazard ratio per 1% increase in household unemployment = 1.04; 95% CI: 1.00-1.08)., Conclusions: This study has shown that increased risk of non-seminoma testicular cancer in teenage and young adult men may be associated with some aspect of more advantaged living. In contrast, greater deprivation is linked with worse survival prospects. The study was ecological by design and so these area-based results may not necessarily apply to individuals., (Copyright © 2015 Elsevier Inc. All rights reserved.)

The aetiology of primary biliary cirrhosis (PBC) is not well established. Previously we found evidence of space-time clustering and seasonal variation in the date of diagnosis, suggesting a possible role for a transient or seasonally varying environmental factor. We examined whether a temporally varying environmental agent may be involved by analysing population-based PBC data from northeast England over 1987-2003. Using an adaptation of a method proposed by Potthoff and Whittinghill, we found significant temporal variation by date of diagnosis at the level of aggregation of one year. However, there was no evidence for general irregular (non-seasonal) temporal clustering within periods less than a year. These results provide little support for the involvement of agents occurring in geographically widespread mini-epidemics, but--taken together with studies of spatial and spatio-temporal clustering--do not preclude the role of more localised sporadic mini-epidemics. Future research should seek to elicit putative environmental agents., (Copyright © 2015 Elsevier Ltd. All rights reserved.)

Previous studies have found marked increases in melanoma incidence. The increase among young people in northern England was especially apparent among females. However, overall 5-year survival has greatly improved. The present study aimed to determine whether socioeconomic factors may be involved in both etiology and survival. All 224 cases of malignant melanoma diagnosed in patients aged 10-24 years during 1968-2003 were extracted from a specialist population-based regional registry. Negative binomial regression was used to examine the relationship between incidence and area-based measures of socioeconomic deprivation and small-area population density. Cox regression was used to analyze the relationship between survival and deprivation and population density. There was significantly decreased risk associated with living in areas of higher unemployment (relative risk per 1% increase in unemployment=0.93; 95% confidence interval (CI) 0.90-0.96, P<0.001). Survival was better in less deprived areas (hazard ratio (HR) per tertile of household overcrowding=1.52; 95% CI 1.05-2.20; P=0.026), but this effect was reduced in the period 1986-2003 (HR=0.61; 95% CI 0.40-0.92; P=0.018). This study found that increased risk of melanoma was linked with some aspects of greater affluence. In contrast, worse survival was associated with living in a more deprived area.

The SHIELD program for Hodgkin lymphoma in patients 60 years of age or older, prospectively evaluated clinical features and outcome in a large patient cohort (n = 175). The central element was a phase 2 study of VEPEMB chemotherapy (n = 103, median age 73 years) incorporating comorbidity assessment. A total of 72 other patients were treated off-study but registered prospectively and treated concurrently with: ABVD (n = 35); CLVPP (n = 19), or other (n = 18). Of VEPEMB patients, 31 had early-stage disease (stage 1A/2A) and received VEPEMB 3 times plus radiotherapy. Median follow-up was 36 months. Complete remission (CR) rate (intention-to-treat) was 74% and 3-year overall survival (OS) and progression-free survival (PFS) were 81% and 74%, respectively. A total of 72 patients had advanced-stage disease (stage 1B/2B/3 or 4) and received VEPEMB 6 times. CR rate was 61% with 3-year OS and PFS of 66% and 58%, respectively. Of patients achieving CR, 13% with early-stage and 5% with advanced-stage disease progressed. Overall treatment-related mortality was 7%. In patients treated with curative intent with VEPEMB, ABVD, and CLVPP (n = 157), CR linked to several factors in univariate analysis. In a Cox regression model only, obtaining CR remained significant for OS and CR plus comorbidity and age for PFS. RS-EBV status had no significant effect on outcome.

Purpose: The etiology of congenital cerebral palsy is unclear. Recent studies have suggested that maternal infection is involved. Indirect, but supportive, evidence for an infectious hypothesis would be provided by the finding of space-time clustering., Methods: We analyzed all 906 cases born during the period 1991-2003 using a population-based registry from Northern England. We applied the K-function method for testing global space-time clustering and used residential addresses at the time of birth. The Knox method was used to determine the spatio-temporal range over which global clustering occurred. Tests were repeated using nearest neighbor thresholds to allow for variable population density. Additionally, Kulldorff's scan statistic identified specific space-time clusters., Results: There was statistically significant evidence of global space-time clustering (p