Diets with high inflammatory potential are suspected to increase risk for pancreatic cancer (PC). Using pooled analyses, we examined whether this association applies to populations from different geographic regions and population subgroups with varying risks for PC, including variation in ABO blood type. Data from six case-control studies (cases, n = 2414; controls, n = 4528) in the Pancreatic Cancer Case-Control Consortium (PanC4) were analyzed, followed by replication in five nested case-control studies (cases, n = 1268; controls, n = 4215) from the Pancreatic Cancer Cohort Consortium (PanScan). Two polymorphisms in the ABO locus (rs505922 and rs8176746) were used to infer participants' blood types. Dietary questionnaire-derived nutrient/food intake was used to compute energy-adjusted dietary inflammatory index (E-DII®) scores to assess inflammatory potential of diet. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using multivariable-adjusted logistic regression. Higher E-DII scores, reflecting greater inflammatory potential of diet, were associated with increased PC risk in PanC4 [ORQ5 versus Q1=2.20, 95% confidence interval (CI) = 1.85-2.61, Ptrend < 0.0001; ORcontinuous = 1.20, 95% CI = 1.17-1.24], and PanScan (ORQ5 versus Q1 = 1.23, 95% CI = 0.92-1.66, Ptrend = 0.008; ORcontinuous = 1.09, 95% CI = 1.02-1.15). As expected, genotype-derived non-O blood type was associated with increased PC risk in both the PanC4 and PanScan studies. Stratified analyses of associations between E-DII quintiles and PC by genotype-derived ABO blood type did not show interaction by blood type (Pinteraction = 0.10 in PanC4 and Pinteraction=0.13 in PanScan). The results show that consuming a pro-inflammatory diet and carrying non-O blood type are each individually, but not interactively, associated with increased PC risk.

Articles from the Value in Cancer Care series are highlighted.

The study by Lacourt reported in a recent issue of Occup Environ Med does not satisfy two fundamental requirements of the design and conduct of a case–control study: these limitations invalidate its results and those of other reports based on the same dataset.[...]

An association between heavy alcohol drinking and gastric cancer risk has been recently reported, but the issue is still open to discussion and quantification. We investigated the role of alcohol drinking on gastric cancer risk in the "Stomach cancer Pooling (StoP) Project," a consortium of epidemiological studies. A total of 9,669 cases and 25,336 controls from 20 studies from Europe, Asia and North America were included. We estimated summary odds-ratios (ORs) and the corresponding 95% confidence intervals (CIs) by pooling study-specific ORs using random-effects meta-regression models. Compared with abstainers, drinkers of up to 4 drinks/day of alcohol had no increase in gastric cancer risk, while the ORs were 1.26 (95% CI, 1.08-1.48) for heavy (>4 to 6 drinks/day) and 1.48 (95% CI 1.29-1.70) for very heavy (>6 drinks/day) drinkers. The risk for drinkers of >4 drinks/day was higher in never smokers (OR 1.87, 95% CI 1.35-2.58) as compared with current smokers (OR 1.14, 95% CI 0.93-1.40). Somewhat stronger associations emerged with heavy drinking in cardia (OR 1.61, 95% CI 1.11-2.34) than in non-cardia (OR 1.28, 95% CI 1.13-1.45) gastric cancers, and in intestinal-type (OR 1.54, 95% CI 1.20-1.97) than in diffuse-type (OR 1.29, 95% CI 1.05-1.58) cancers. The association was similar in strata of H. pylori infected (OR = 1.52, 95% CI 1.16-2.00) and noninfected subjects (OR = 1.69, 95% CI 0.95-3.01). Our collaborative pooled-analysis provides definite, more precise quantitative evidence than previously available of an association between heavy alcohol drinking and gastric cancer risk.

Mediterranean Diet Score was positively associated with normal sperm concentration and total count, but not with semen volume.

Past analyses of mortality data from mesothelioma relied on unspecific codes, such as pleural neoplasms. We calculated temporal trends in age-specific mortality rates in Canada, the United States, Japan, France, Germany, Italy, the Netherlands, Poland, the United Kingdom, and Australia on the basis of the 10th version of the International Classification of Diseases, which includes a specific code for mesothelioma. Older age groups showed an increase (in the United States, a weaker decrease) during the study period, whereas in young age groups, there was a decrease (in Poland, a weaker increase, starting, however, from low rates). Results were consistent between men and women and between pleural and peritoneal mesothelioma, although a smaller number of events in women and for peritoneal mesothelioma resulted in less precise results. The results show the heterogeneous effect of the reduction of asbestos exposure on different age groups; decreasing mortality in young people reflects reduced exposure opportunity, and increasing mortality in the elderly shows the long-term effect of early exposures.

We present an approach to automatically recognize sign language and translate it into a spoken language. A system to address these tasks is created based on state-of-the-art techniques from statistical machine translation, speech recognition, and ima

We examined nationally representative data from the 2002-2004 South Africa Stress and Health Study, a national household probability sample of 4351 persons aged 18 years and older: 9.1% of respondents reported lifetime suicide ideation, 3.8% a plan and 2.9% an attempt. Among four ethnic groups, the Coloureda group had the highest lifetime prevalence for attempts (7.1%). Those at higher risk of suicide attempts had one or more DSM-IV disorders.

ABSTRACT Importance Reliable estimates of COVID-19 mortality are crucial to aid control strategies and to assess the effectiveness of interventions. Objective Project COVID-19 mortality trends to October 1, 2020, in 12 countries or regions that constitute &gt;90% of the global COVID-19 deaths reported as of April 12, 2020. Design, Setting, and Participants The Global COVID-19 Assessment of Mortality (GCAM) is an open, transparent, and continuously updated ( www.cghr.org/covid ) statistical model that combines actual COVID-19 mortality counts with Bayesian inference to forecast COVID-19 deaths, the date of peak deaths, and the duration of excess mortality. The analyses covered a total of 700 million population above age 20 in 12 countries or regions: USA; Italy; Spain; France; UK; Iran; Belgium; a province of China (Hubei, which accounted for 90% of reported Chinese deaths); Germany; the Netherlands; Switzerland; and Canada; and six US states: New York, New Jersey, Michigan, Louisiana, California, and Washington. Results Forecasted deaths across the 12 current high-burden countries sum 167,000 to 593,000 (median 253,000). The trajectory of US deaths (49,000-249,000 deaths; median 86,000)—over half of which are expected in states beyond the initial six states analysed in this study—will have the greatest impact on the eventual total. Mortality ranges are 25,000-109,000 (median 46,000) in the UK; 23,000-31,000 (median 26,000) in Italy; 21,000-37,000 (median 26,000) in France and 21,000-32,000 (median 25,000) in Spain. Estimates are most precise for Hubei, China—where the epidemic curve is complete—and least precise in California, where it is ongoing. New York has the highest cumulative median mortality rate per million (1135), about 12-fold that of Germany. Mortality trajectories are notably flatter in Germany, California, and Washington State, each of which took physical distancing and testing strategies seriously. Using past country-specific mortality as a guide, GCAM predicts surge capacity needs, reaching more than twice existing capacity in a number of places., In every setting, the results might be sensitive to undercounts of COVID-19 deaths, which are already apparent. Conclusion and Relevance Mortality from COVID-19 will be substantial across many settings, even in the best case scenario. GCAM will provide continually updated and increasingly precise estimates as the pandemic progresses. The coronavirus disease (COVID-19) pandemic has already caused over 115,000 deaths, with global deaths doubling every week. 1-3 Mortality is less biased than case reporting, which is affected by testing policies. However, the daily reporting of COVID-19 deaths is already known to undercount actual deaths, varying over time and place. 4-6 Reliable estimates of total COVID-19 mortality, the date of peak deaths, and of the duration of excess mortality are crucial to aid responses to the current and potential future pandemics. We have developed the Global COVID-19 Assessment of Mortality (GCAM), a statistical model to project COVID-19 mortality trends to October 1 2020 in 12 countries or regions that constitute &gt;90% of the global COVID-19 deaths reported as of April 12 th . We report also on six US states that account for 70% of the American totals to date (Supplementary Appendix). 1 We quantify the COVID-19 mortality trajectory ranges in each setting. A semi-automated website ( www.cghr.org/covid ) provides daily updates. GCAM is open, transparent, and uses a reasonably simple method that employs publicly reported mortality data to make plausible projections. The method is designed to improve as more mortality data become available over longer time periods.

Cigar and pipe smoking are considered risk factors for head and neck cancers, but the magnitude of effect estimates for these products has been imprecisely estimated. By using pooled data from the International Head and Neck Cancer Epidemiology (INHANCE) Consortium (comprising 13,935 cases and 18,691 controls in 19 studies from 1981 to 2007), we applied hierarchical logistic regression to more precisely estimate odds ratios and 95% confidence intervals for cigarette, cigar, and pipe smoking separately, compared with reference groups of those who had never smoked each single product. Odds ratios for cigar and pipe smoking were stratified by ever cigarette smoking. We also considered effect estimates of smoking a single product exclusively versus never having smoked any product (reference group). Among never cigarette smokers, the odds ratio for ever cigar smoking was 2.54 (95% confidence interval (CI): 1.93, 3.34), and the odds ratio for ever pipe smoking was 2.08 (95% CI: 1.55, 2.81). These odds ratios increased with increasing frequency and duration of smoking (Ptrend ≤ 0.0001). Odds ratios for cigar and pipe smoking were not elevated among ever cigarette smokers. Head and neck cancer risk was elevated for those who reported exclusive cigar smoking (odds ratio = 3.49, 95% CI: 2.58, 4.73) or exclusive pipe smoking (odds ratio = 3.71, 95% CI: 2.59, 5.33). These results suggest that cigar and pipe smoking are independently associated with increased risk of head and neck cancers.

Data was obtained from an anonymous, Internet-based sample, and thus may not be generalizable to all youth with TTM.

Recent studies suggest an association between placental abruption and increased plasma homocysteine levels—a marker of impaired folate status and also an independent risk factor for premature vascular disease. Folic acid and vitamin B12 supplements can lower homocysteine levels, but it is not clear that they lessen the risk of abruption or other adverse pregnancy outcomes. This population-based study examined the association, if any, between multivitamin or folate supplementation and placental abruption in 280,127 singleton births registered in Norway in the years 1999–2004. Odds ratios (ORs) were adjusted for maternal age, marital status, parity, smoking, pregestational diabetes, and chronic hypertension. The use of folic acid and/or multivitamin supplements at any time before or during pregnancy was reported by 44% of women who did not have an abruption and 36% of those who did. The incidence of placental abruption was 0.38% overall, and about half of all abruptions occurred before 37 weeks’ gestation. Multiple logistic regression analysis showed that women who took folic acid and/or multivitamin supplements before or at any time during pregnancy had a 26% reduction in the risk of placental abruption [adjusted OR = 0.74; 95% confidence interval (CI): 0.65–0.84]. Compared to women who did not take multivitamins or folic acid, women taking only folic acid had an adjusted OR for abruption of 0.81 (95% CI: 0.68–0.98), multivitamin users had an adjusted OR of 0.72 (95% CI: 0.57–0.91), and women taking both folic acid and multivitamin supplements had an adjusted OR of 0.68 (95% CI: 0.56–0.83). The association between vitamin use and placental abruption was slightly stronger for women who smoked while pregnant (OR 0.67; 95% CI: 0.53–0.85) than for those who did not smoke (OR = 0.78; 95% CI: 0.67–0.92). This study, the first large-scale attempt to examine the association of folic acid and multivitamin supplements with placental abruption, suggests that women who use supplements are significantly less likely than nonusers to have placental abruption.

<title>Abstract</title> Background Physical activity (PA) has been recognized as a protective factor against several types of cancer, though robust evidence related to Gastric Cancer (GC) are lacking. This study aimed to establish whether leisure-time PA can prevent GC using data from a large pooled analysis of case-control studies within the Stomach cancer Pooling (StoP) Project.Methods Five case-control studies from StoP project collected data on PA, for a total of 2,415 cases and 9,722 controls. Subjects were classified into three leisure-time PA categories, either none/low, intermediate or high, based on study-specific tertiles. We used a two-stage approach. Firstly, we applied multivariable logistic regression models to obtain study-specific odds ratios (ORs) and corresponding 95% confidence intervals (CIs). Afterwards, we used a random-effect models for estimating pooled effect estimates. Heterogeneity across studies was assessed using Q and I 2 statistics. We performed stratified analyses according to demographic, lifestyle and clinical covariates.Results The pooled ORs for GC risk were 0.90 (95% CI: 0.72, 1.13) for intermediate, and 0.72 (95% CI: 0.57, 0.91) for high levels of leisure-time PA. There was no evidence of significant heterogeneity in outcome estimates ( I 2 = 49.7%; p=0.094 for intermediate; I 2 = 42.9%, p=0.135 for high levels of exposure). GC risk estimates did not differ across strata of selected covariates.Conclusions Our study is the largest pooled analysis that provides insights about protective effects of high levels of recreational PA on GC risk. Although our results should be confirmed from large cohort studies, the implications have relevant public health significance.