| 1. |
- Han, Hedong, et al.
(författare)
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Dose-response relationship between dietary magnesium intake, serum magnesium concentration and risk of hypertension : a systematic review and meta-analysis of prospective cohort studies
- 2017
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Ingår i: Nutrition Journal. - : BioMed Central. - 1475-2891 .- 1475-2891. ; 16
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Forskningsöversikt (refereegranskat)abstract
- Background: The findings of prospective cohort studies are inconsistent regarding the association between dietary magnesium intake and serum magnesium concentration and the risk of hypertension. We aimed to review the evidence from prospective cohort studies and perform a dose-response meta-analysis to investigate the relationship between dietary magnesium intake and serum magnesium concentrations and the risk of hypertension.Methods: We searched systematically PubMed, EMBASE and the Cochrane Library databases from October 1951 through June 2016. Prospective cohort studies reporting effect estimates with 95% confidence intervals (CIs) for hypertension in more than two categories of dietary magnesium intake and/or serum magnesium concentrations were included. Random-effects models were used to combine the estimated effects.Results: Nine articles (six on dietary magnesium intake, two on serum magnesium concentration and one on both) of ten cohort studies, including 20,119 cases of hypertension and 180,566 participates, were eligible for inclusion in the meta-analysis. We found an inverse association between dietary magnesium intake and the risk of hypertension [relative risk (RR) = 0.92; 95% CI: 0.86, 0.98] comparing the highest intake group with the lowest. A 100 mg/day increment in magnesium intake was associated with a 5% reduction in the risk of hypertension (RR = 0.95; 95% CI: 0.90, 1.00). The association of serum magnesium concentration with the risk of hypertension was marginally significant (RR = 0.91; 95% CI: 0.80, 1.02).Conclusions: Current evidence supports the inverse dose-response relationship between dietary magnesium intake and the risk of hypertension. However, the evidence about the relationship between serum magnesium concentration and hypertension is limited.
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| 2. |
- Leepe, Khadija Akter, et al.
(författare)
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Acute effect of daily fine particulate matter pollution on cerebrovascular mortality in Shanghai, China : a population-based time series study
- 2019
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Ingår i: Environmental Science and Pollution Research. - : Springer. - 0944-1344 .- 1614-7499. ; 26:25, s. 25491-25499
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Tidskriftsartikel (refereegranskat)abstract
- Numerous studies have investigated the impacts of ambient fine particulate matter (PM2.5) on human health. In this study, we examined the association of daily PM2.5 concentrations with the number of deaths for the cerebrovascular disease on the same day, using the generalized additive model (GAM) controlling for temporal trend and meteorological variables. We used the data between 2012 and 2014 from Shanghai, China, where the adverse health effects of PM2.5 have been of particular concern. Three different approaches (principal component analysis, shrinkage smoothers, and the least absolute shrinkage and selection operator regularization) were used in GAM to handle multicollinear meteorological variables. Our results indicate that the average daily concentration of PM2.5 in Shanghai was high, 55 μg/m3, with an average daily death for cerebrovascular disease (CVD) of 62. There was 1.7% raised cerebrovascular disease deaths per 10 μg/m3 increase in PM2.5 concentration in the unadjusted model. However, PM2.5 concentration was no longer associated with CVD deaths after controlling for meteorological variables. The results were consistent in the three modelling techniques that we used. As a large number of people are exposed to air pollution, further investigation with longer time period including individual-level information is needed to examine the association.
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| 3. |
- Ahl, Rebecka, 1987-, et al.
(författare)
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β-Blockade in Rectal Cancer Surgery : A Simple Measure of Improving Outcomes
- 2020
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Ingår i: Annals of Surgery. - : Lippincott Williams & Wilkins. - 0003-4932 .- 1528-1140. ; 271:1, s. 140-146
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: To ascertain whether regular β-blocker exposure can improve short- and long-term outcomes after rectal cancer surgery.BACKGROUND: Surgery for rectal cancer is associated with substantial morbidity and mortality. There is increasing evidence to suggest that there is a survival benefit in patients exposed to β-blockers undergoing non-cardiac surgery. Studies investigating the effects on outcomes in patients subjected to surgery for rectal cancer are lacking.METHODS: All adult patients undergoing elective abdominal resection for rectal cancer over a 10-year period were recruited from the prospectively collected Swedish Colorectal Cancer Registry. Patients were subdivided according to preoperative β-blocker exposure status. Outcomes of interest were 30-day complications, 30-day cause-specific mortality, and 1-year all-cause mortality. The association between β-blocker use and outcomes were analyzed using Poisson regression model with robust standard errors for 30-day complications and cause-specific mortality. One-year survival was assessed using Cox proportional hazards regression model.RESULTS: A total of 11,966 patients were included in the current study, of whom 3513 (29.36%) were exposed to regular preoperative β-blockers. A significant decrease in 30-day mortality was detected (incidence rate ratio = 0.06, 95% confidence interval: 0.03-0.13, P < 0.001). Deaths of cardiovascular nature, respiratory origin, sepsis, and multiorgan failure were significantly lower in β-blocker users, as were the incidences in postoperative infection and anastomotic failure. The β-blocker positive group had significantly better survival up to 1 year postoperatively with a risk reduction of 57% (hazard ratio = 0.43, 95% confidence interval: 0.37-0.52, P < 0.001).CONCLUSIONS: Preoperative β-blocker use is strongly associated with improved survival and morbidity after abdominal resection for rectal cancer.
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| 4. |
- Cao, Yang, Associate Professor, 1972-, et al.
(författare)
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A Comparative Study of Machine Learning Algorithms in Predicting Severe Complications after Bariatric Surgery
- 2019
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Ingår i: Journal of Clinical Medicine. - : MDPI. - 2077-0383. ; 8:5
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Tidskriftsartikel (refereegranskat)abstract
- Background: Severe obesity is a global public health threat of growing proportions. Accurate models to predict severe postoperative complications could be of value in the preoperative assessment of potential candidates for bariatric surgery. So far, traditional statistical methods have failed to produce high accuracy. We aimed to find a useful machine learning (ML) algorithm to predict the risk for severe complication after bariatric surgery.Methods: We trained and compared 29 supervised ML algorithms using information from 37,811 patients that operated with a bariatric surgical procedure between 2010 and 2014 in Sweden. The algorithms were then tested on 6250 patients operated in 2015. We performed the synthetic minority oversampling technique tackling the issue that only 3% of patients experienced severe complications.Results: Most of the ML algorithms showed high accuracy (>90%) and specificity (>90%) in both the training and test data. However, none of the algorithms achieved an acceptable sensitivity in the test data. We also tried to tune the hyperparameters of the algorithms to maximize sensitivity, but did not yet identify one with a high enough sensitivity that can be used in clinical praxis in bariatric surgery. However, a minor, but perceptible, improvement in deep neural network (NN) ML was found.Conclusion: In predicting the severe postoperative complication among the bariatric surgery patients, ensemble algorithms outperform base algorithms. When compared to other ML algorithms, deep NN has the potential to improve the accuracy and it deserves further investigation. The oversampling technique should be considered in the context of imbalanced data where the number of the interested outcome is relatively small.
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| 5. |
- Fang, Xin, et al.
(författare)
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Comparison of Frequentist and Bayesian Generalized Additive Models for Assessing the Association between Daily Exposure to Fine Particles and Respiratory Mortality : A Simulation Study
- 2019
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Ingår i: International Journal of Environmental Research and Public Health. - Basel, Switzerland : MDPI. - 1661-7827 .- 1660-4601. ; 16:5
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To compare the performance of frequentist and Bayesian generalized additive models (GAMs) in terms of accuracy and precision for assessing the association between daily exposure to fine particles and respiratory mortality using simulated data based on a real time-series study.Methods: In our study, we examined the estimates from a fully Bayesian GAM using simulated data based on a genuine time-series study on fine particles with a diameter of 2.5 m or less (PM2.5) and respiratory deaths conducted in Shanghai, China. The simulation was performed by multiplying the observed daily death with a random error. The underlying priors for Bayesian analysis are estimated using the real world time-series data. We also examined the sensitivity of Bayesian GAM to the choice of priors and to true parameter.Results: The frequentist GAM and Bayesian GAM show similar means and variances of the estimates of the parameters of interest. However, the estimates from Bayesian GAM show relatively more fluctuation, which to some extent reflects the uncertainty inherent in Bayesian estimation.Conclusions: Although computationally intensive, Bayesian GAM would be a better solution to avoid potentially over-confident inferences. With the increasing computing power of computers and statistical packages available, fully Bayesian methods for decision making may become more widely applied in the future.
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| 6. |
- Fang, Xin, et al.
(författare)
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Dose-response relationship between dietary magnesium intake and cardiovascular mortality : A systematic review and dose-based meta-regression analysis of prospective studies
- 2016
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Ingår i: Journal of Trace Elements in Medicine and Biology. - Jena, Germany : Elsevier. - 0946-672X .- 1878-3252. ; 38, s. 64-73
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Forskningsöversikt (refereegranskat)abstract
- Background: Although epidemiology studies have reported the relationship, including a dose-response relationship, between dietary magnesium intake and risk of cardiovascular disease (CVD), the risk for CVD mortality is inconclusive and the evidence for a dose-response relationship has not been summarized.Objective: We conducted a systematic review and meta-analysis of prospective studies to summarize the evidence regarding the association of dietary magnesium intake with risk of CVD mortality and describe their dose-response relationship.Design: We identified relevant studies by searching major scientific literature databases and grey literature resources from their inception to August 2015, and reviewed references lists of retrieved articles. We included population-based studies that reported mortality risks, i.e. relative risks (RRs), odds ratios (ORs) or hazard ratios (HRs) of CVD mortality or cause-specific CVD death. Linear dose-response relationships were assessed using random-effects meta-regression. Potential nonlinear associations were evaluated using restricted cubic splines.Results: Out of 3002 articles, 9 articles from 8 independent studies met the eligibility criteria. These studies comprised 449,748 individuals and 10,313 CVD deaths. Compared with the lowest dietary magnesium consumption group in the population, the risk of CVD mortality was reduced by 16% in women and 8% in men. No significant linear dose-response relationship was found between increment in dietary magnesium intake and CVD mortality across all the studies. After adjusting for age and BMI, the risk of CVD mortality was reduced by 24-25% per 100 mg/d increment in dietary magnesium intake in women of all the participants and in all the US participants.Conclusion: Although the combined data confirm the role of dietary magnesium intake in reducing CVD mortality, the dose-response relationship was only found among women and in US population.
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| 7. |
- Fang, Xin, et al.
(författare)
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Relationship between fine particulate matter, weather condition and daily non-accidental mortality in Shanghai, China : A Bayesian approach
- 2017
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Ingår i: PLOS ONE. - : Public Library of Science. - 1932-6203. ; 12:11
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Tidskriftsartikel (refereegranskat)abstract
- There are concerns that the reported association of ambient fine particulate matter (PM2.5) with mortality might be a mixture of PM2.5 and weather conditions. We evaluated the effects of extreme weather conditions and weather types on mortality as well as their interactions with PM2.5 concentrations in a time series study. Daily non-accidental deaths, individual demographic information, daily average PM2.5 concentrations and meteorological data between 2012 and 2014 were obtained from Shanghai, China. Days with extreme weather conditions were identified. Six synoptic weather types (SWTs) were generated. The generalized additive model was set up to link the mortality with PM2.5 and weather conditions. Parameter estimation was based on Bayesian methods using both the Jeffreys' prior and an informative normal prior in a sensitivity analysis. We estimate the percent increase in non-accidental mortality per 10 mu g/m(3) increase in PM2.5 concentration and constructed corresponding 95% credible interval (CrI). In total, 336,379 non-accidental deaths occurred during the study period. Average daily deaths were 307. The results indicated that per 10 mu g/m(3) increase in daily average PM2.5 concentration alone corresponded to 0.26-0.35% increase in daily non-accidental mortality in Shanghai. Statistically significant positive associations between PM2.5 and mortality were found for favorable SWTs when considering the interaction between PM2.5 and SWTs. The greatest effect was found in hot dry SWT (percent increase = 1.28, 95% CrI: 0.72, 1.83), followed by warm humid SWT (percent increase = 0.64, 95% CrI: 0.15, 1.13). The effect of PM2.5 on non-accidental mortality differed under specific extreme weather conditions and SWTs. Environmental policies and actions should take into account the interrelationship between the two hazardous exposures.
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| 8. |
- Fang, Xin, et al.
(författare)
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Sex Hormones, Gonadotropins, and Sex Hormone-binding Globulin in Infants Fed Breast Milk, Cow Milk Formula, or Soy Formula
- 2017
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Ingår i: Scientific Reports. - : Nature Publishing Group. - 2045-2322. ; 7
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Tidskriftsartikel (refereegranskat)abstract
- Measurement of endogenous hormones in early life is important to investigate the effects of hormonally active environmental compounds. To assess the possible hormonal effects of different feeding regimens in different sample matrices of infants, 166 infants were enrolled from two U.S hospitals between 2006 and 2009. The children were classified into exclusive soy formula, cow milk formula or breast milk regimens. Urine, saliva and blood samples were collected over the first 12 months of life. Estradiol, estrone, testosterone, luteinizing hormone (LH), follicle-stimulating hormone (FSH) and sex hormone-binding globulin (SHBG) levels were measured in the three matrices. Lower estradiol and LH levels were found in urine and saliva samples of soy formula-fed boys compared to cow formula-fed boys. Higher LH level was found in urine samples of soy formula-fed girls compared to cow formula-fed girls. However, we found neither a neonatal testosterone rise in the boys nor a gender-specific difference in testosterone levels, which suggests that urinary testosterone levels may not accurately reflect blood levels during mini-puberty. Nevertheless, our study shows that blood, urine and saliva samples are readily collectible and suitable for multi-hormone analyses in children and allow examination of hypotheses concerning endocrine effects from dietary compounds.
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| 9. |
- Kuria, Angelica, et al.
(författare)
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Does dietary intake of selenium protect against cancer? A systematic review and meta-analysis of population-based prospective studies
- 2020
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Ingår i: Critical reviews in food science and nutrition. - : Taylor & Francis. - 1040-8398 .- 1549-7852. ; 60:4, s. 684-694
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Forskningsöversikt (refereegranskat)abstract
- Current evidence on selenium and its effects on cancer is conflicting. This study aimed at assessing the association between dietary intake of selenium and incidence of cancers by performing systematic review and meta-analysis of population-based prospective studies. We systematically searched for articles in Medline (Ovid), Embase, Web of Science (Thomson Reuters), China National Knowledge Infrastructure, Wanfang Database and VIP Chinese Scientific Journals. Analysis was performed in Stata version 14.2. Of the 2,564 articles obtained from the databases, 39 met our inclusion criteria, 37 were included in the final analysis. Selenium at recommended daily allowance levels of ≥55 μg/day decreased the risk of cancer [relative risk (RR) = 0.94, 95% confidence interval (CI): 0.90-0.98]. A protective effect was found in men at levels ≥55 μg/day (RR = 0.97, 95% CI: 0.94-0.99). Extra selenium intake from supplements was protective at levels ≥55 μg/day (RR = 0.89, 95% CI: 0.82-0.97). There was an inverse relationship (p value = 0.020) between selenium intake and overall cancer risk after adjusting for age, body mass index, and smoking but there was no evidence of nonlinear relationship (p value = 0.261). The findings in this study suggest that selenium is protective against cancer however the effects vary with different cancers.
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| 10. |
- Luo, Kai, et al.
(författare)
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Acute Effects of Nitrogen Dioxide on Cardiovascular Mortality in Beijing : An Exploration of Spatial Heterogeneity and the District-specific Predictors
- 2016
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Ingår i: Scientific Reports. - London, United Kingdom : Nature Publishing Group. - 2045-2322. ; 6:2
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Tidskriftsartikel (refereegranskat)abstract
- The exploration of spatial variation and predictors of the effects of nitrogen dioxide (NO2) on fatal health outcomes is still sparse. In a multilevel case-crossover study in Beijing, China, we used mixed Cox proportional hazard model to examine the citywide effects and conditional logistic regression to evaluate the district-specific effects of NO2 on cardiovascular mortality. District-specific predictors that could be related to the spatial pattern of NO2 effects were examined by robust regression models. We found that a 10 μg/m(3) increase in daily mean NO2 concentration was associated with a 1.89% [95% confidence interval (CI): 1.33-2.45%], 2.07% (95% CI: 1.23-2.91%) and 1.95% (95% CI: 1.16-2.72%) increase in daily total cardiovascular (lag03), cerebrovascular (lag03) and ischemic heart disease (lag02) mortality, respectively. For spatial variation of NO2 effects across 16 districts, significant effects were only observed in 5, 4 and 2 districts for the above three outcomes, respectively. Generally, NO2 was likely having greater adverse effects on districts with larger population, higher consumption of coal and more civilian vehicles. Our results suggested independent and spatially varied effects of NO2 on total and subcategory cardiovascular mortalities. The identification of districts with higher risk can provide important insights for reducing NO2 related health hazards.
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