scholarly journals Chained Risk Assessment for Life-Long Disease Burden of Early Exposures–Demonstration of Concept Using Prenatal Maternal Smoking

2020 ◽  
Vol 17 (5) ◽  
pp. 1472 ◽  
Author(s):  
Isabell K. Rumrich ◽  
Kirsi Vähäkangas ◽  
Matti Viluksela ◽  
Otto Hänninen
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Maternal Smoking ◽  
Disease Burden ◽  
Communicable Disease ◽  
Meta Analysis ◽  
Intermediate Risk ◽  
Traditional Risk Factors ◽  
Prenatal Maternal Smoking ◽  
Meta Analyses

Traditional risk factors and environmental exposures only explain less than half of the disease burden. The developmental origin of the health and disease (DOHaD) concept proposes that prenatal and early postnatal exposures increase disease susceptibility throughout life. The aim of this work is to demonstrate the application of the DOHaD concept in a chained risk assessment and to provide an estimate of later in life burden of disease related to maternal smoking. We conducted three systematic literature searches for meta-analysis and reviewed the literature reporting meta-analyses of long-term health outcomes associated with maternal smoking and intermediate risk factors (preterm birth, low birth weight, childhood overweight). In the chained model the three selected risk factors explained an additional 2% (34,000 DALY) of the total non-communicable disease burden (1.4 million DALY) in 2017. Being overweight in childhood was the most important risk factor (28,000 DALY). Maternal smoking was directly associated with 170 DALY and indirectly via the three intermediate risk factors 1000 DALY (1200 DALY in total). The results confirm the potential to explain a previously unattributed part of the non-communicable diseases by the DOHAD concept. It is likely that relevant outcomes are missing, resulting in an underestimation of disease burden.

Incident myocardial infarction associated with major types of arthritis in the general population: a systematic review and meta-analysis

2017 ◽  
Vol 76 (8) ◽  
pp. 1396-1404 ◽  
Author(s):  
Orit Schieir ◽  
Cedomir Tosevski ◽  
Richard H Glazier ◽  
Sheilah Hogg-Johnson ◽  
Elizabeth M Badley
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Meta Analysis ◽  
Population Based ◽  
Case Control Studies ◽  
Increased Risk ◽  
Traditional Risk Factors ◽  
Meta Analyses ◽  
Review Criteria ◽  
Age And Sex

ObjectiveTo synthesise, quantify and compare risks for incident myocardial infarction (MI) across five major types of arthritis in population-based studies.MethodsA systematic search was performed in MEDLINE, EMBASE and CINAHL databases with additional manual/hand searches for population-based cohort or case-control studies published in English of French between January 1980 and January 2015 with a measure of effect and variance for associations between incident MI and five major types of arthritis: rheumatoid arthritis (RA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), gout or osteoarthritis (OA), adjusted for at least age and sex. All search screening, data abstraction quality appraisals were performed independently by two reviewers. Where appropriate, random-effects meta-analysis was used to pool results from studies with a minimum of 10 events.ResultsWe identified a total of 4, 285 articles; 27 met review criteria and 25 criteria for meta-analyses. In studies adjusting for age and sex, MI risk was significantly increased in RA (pooled relative risk (RR): 1.69, 95% CI 1.50 to 1.90), gout (pooled RR: 1.47, 95% CI 1.24 to 1.73), PsA (pooled RR: 1.41, 95% CI 1.17 to 1.69), OA (pooled RR: 1.31, 95% CI 1.01 to 1.71) and tended towards increased risk in AS (pooled RR: 1.24, 95% CI 0.93 to 1.65). Traditional risk factors were more prevalent in all types of arthritis. MI risk was attenuated for each type of arthritis in studies adjusting for traditional risk factors and remained significantly increased in RA, PsA and gout.ConclusionsMI risk was consistently increased in multiple types of arthritis in population-based studies, and was partially explained by a higher prevalence of traditional risk factors in all types of arthritis. Findings support more integrated cardiovascular (CV) prevention strategies for arthritis populations that target both reducing inflammation and enhancing management of traditional CV risk factors.

Endemic Cryptosporidium infection and drinking water source: a systematic review and meta-analyses

2006 ◽  
Vol 54 (3) ◽  
pp. 231-238 ◽  
Author(s):  
F.A.S. Gualberto ◽  
L. Heller
Keyword(s):  
Risk Factors ◽  
Drinking Water ◽  
Meta Analysis ◽  
Water Source ◽  
Drinking Water Source ◽  
Cryptosporidium Infection ◽  
Water Users ◽  
Increased Risk ◽  
Unsafe Water ◽  
Meta Analyses

Cryptosporidium is a well-known cause of diarrhoea in humans. Little is known about risk factors associated with endemic cryptosporidiosis, which constitutes the majority of cases. We carried out meta-analyses to verify if drinking water is also associated with endemic infection and to assess the magnitude of the associations. The global meta-analysis suggests that there is an increased risk of Cryptosporidium infection among unsafe water users (OR 1.40 [1.15, 1.72]). Studies were stratified, according to the exposure to different sources of safe drinking water, due to the heterogeneity presented. The consumption of non-well and unboiled water was associated with an increased chance of endemic cryptosporidiosis, though only the latter was significant (OR 1.45 [0.95, 2.20]; OR 1.61 [1.09, 2.38]). Drinking non-bottled water did not present a risk factor associated with endemic cryptosporidiosis (OR 0.87 [0.72, 1.05]). These meta-analyses present results that could be useful to clarify the epidemiology of Cryptosporidium. We recommend that other risk factors could also be studied by this approach.

Abstract 17059: Re-Use of Clinical Trial Data From the NHLBI Data Repository (BioLINCC) for Patient-Level Meta-Analyses of Cardiovascular Outcomes: Challenges and Opportunities

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_1) ◽  
Author(s):  
Helena Sviglin ◽  
Gauri Dandi ◽  
Eileen Navarro Almario ◽  
Tejas Patel ◽  
Colin O Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Meta Analysis ◽  
Cardiovascular Outcomes ◽  
Data Repository ◽  
Common Data Elements ◽  
Patient Level Data ◽  
Patient Level ◽  
Level Data ◽  
Data Elements ◽  
Meta Analyses

Introduction: An objective of the Meta-AnalyTical Interagency Group (MATIG) is to conduct patient-level meta-analyses of cardiovascular outcomes using data from publicly available repositories. We describe challenges with data re-use from a seminal trial, provide a systematic approach to identify and curate data elements for hypothesis generation, and establish stackable trials to support these analyses. Methods: We used data from the ACCORD trial to assess risk factors and their gender specific differences for the event of hospitalization or death due to heart failure (hdHF), in patients with type 2 diabetes*. We identified the data elements needed to answer the research questions, reviewed the trial protocol to verify definitions, extracted patient-level data, performed quality assessment and statistical analysis. The results showed a gender difference in the effect of intensive vs. standard glucose-lowering therapy on hdHF. To validate the findings, we sought additional trials in BioLINCC to develop a compendium for meta-analysis, and repeated these steps for each trial. Results: Challenges for reusing the ACCORD trial included access to complete patient-level data and metadata. The compendium, developed to evaluate the stackability** of data across trials, identified differences in trial designs, patient populations, study interventions, and data elements that may impact the feasibility and interpretation of meta-analysis. An example of compendium components is shown in Table 1. Conclusion: High-quality metadata facilitate re-use of trial repository data. This compendium standardizes common data elements for gender, racial and age-group specific outcome assessment in major clinical trials. It provides the framework to assess the fitness of trials for patient-level meta-analyses. Efforts are underway by MATIG to expand the compendium to include risk factors and major cardiovascular outcomes across multiple large trials for meta-analysis.

scholarly journals Prevalence of and risk factors for Plasmodium spp. co-infection with hepatitis B virus: a systematic review and meta-analysis

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Kwuntida Uthaisar Kotepui ◽  
Manas Kotepui
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Hepatitis B Virus ◽  
Meta Analysis ◽  
Infection Group ◽  
Pooled Prevalence ◽  
B Virus ◽  
The Difference ◽  
Meta Analyses

Abstract Background Plasmodium spp. and hepatitis B virus (HBV) are among the most common infectious diseases in underdeveloped countries. This study aimed to determine the prevalence of Plasmodium spp. and HBV co-infection in people living in endemic areas of both diseases and to assess the risk factors related to this co-infection. Methods The PubMed, Web of Science, and Scopus databases were searched. Observational cross-sectional studies and retrospective studies assessing the prevalence of Plasmodium species and HBV co-infection were examined. The methodological quality of the included studies was assessed with the Newcastle-Ottawa Scale (NOS), a tool for assessing the quality of nonrandomized studies in meta-analyses, and heterogeneity among the included studies was assessed with Cochran's Q test and the I2 (inconsistency) statistic. The pooled prevalence of the co-infection and its 95% confidence interval (CI) were estimated using the random-effects model, depending on the amount of heterogeneity there was among the included studies. The pooled odds ratio (OR) represented the difference in qualitative variables, whereas the pooled mean difference (MD) represented the difference in quantitative variables. Meta-analyses of the potential risk factors for Plasmodium spp. and HBV co-infection, including patient age and gender, were identified and represented as pooled odds ratios (OR) and 95% CIs. Publication bias among the included studies was assessed by visual inspection of a funnel plot to search for asymmetry. Results Twenty-two studies were included in the present systematic review and meta-analysis. Overall, the pooled prevalence estimate of Plasmodium spp. and HBV co-infection was 6% (95% CI 4–7%, Cochran's Q statistic < 0.001, I2: 95.8%), with prevalences of 10% in Gambia (95% CI: 8–12%, weight: 4.95%), 8% in Italy (95% CI 5–12%, weight: 3.8%), 7% in Nigeria (95% CI 4–10%, weight: 53.5%), and 4% in Brazil (95% CI 2–5%, weight: 19.9%). The pooled prevalence estimate of Plasmodium spp. and HBV co-infection was higher in studies published before 2015 (7%, 95% CI 4–9%, Cochran's Q statistic < 0.001, I2: 96%) than in those published since 2015 (3%, 95% CI 1–5%, Cochran's Q statistic < 0.001, I2: 81.3%). No difference in age and risk of Plasmodium spp. and HBV co-infection group was found between the Plasmodium spp. and HBV co-infection and the Plasmodium monoinfection group (p: 0.48, OR: 1.33, 95% CI 0.60–2.96). No difference in gender and risk of Plasmodium spp. and HBV co-infection group was found between the Plasmodium spp. and HBV co-infection and HBV co-infection group and the Plasmodium monoinfection group (p: 0.09, OR: 2.79, 95% CI 0.86–9.10). No differences in mean aspartate aminotransferase (AST), mean alanine aminotransferase (ALT), or mean total bilirubin levels were found (p > 0.05) between the Plasmodium spp. and HBV co-infection group and the Plasmodium monoinfection group. Conclusions The present study revealed the prevalence of Plasmodium spp. and HBV co-infection, which will help in understanding co-infection and designing treatment strategies. Future studies assessing the interaction between Plasmodium spp. and HBV are recommended.

scholarly journals Almond Consumption and Risk Factors for Cardiovascular Disease: A Systematic Review and Meta-analysis of Randomized Controlled Trials

2019 ◽  
Vol 10 (6) ◽  
pp. 1076-1088 ◽  
Author(s):  
Michelle A Lee-Bravatti ◽  
Jifan Wang ◽  
Esther E Avendano ◽  
Ligaya King ◽  
Elizabeth J Johnson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Body Weight ◽  
Randomized Controlled Trials ◽  
Meta Analysis ◽  
Controlled Trials ◽  
Randomized Controlled ◽  
Meta Analyses

ABSTRACT Evidence suggests that eating nuts may reduce the risk of cardiovascular disease (CVD). We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) evaluating almond consumption and risk factors for CVD. MEDLINE, Cochrane Central, Commonwealth Agricultural Bureau, and previous systematic reviews were searched from 1990 through June 2017 for RCTs of ≥3 wk duration that evaluated almond compared with no almond consumption in adults who were either healthy or at risk for CVD. The most appropriate stratum was selected with an almond dose closer to 42.5 g, with a control most closely matched for macronutrient composition, energy intake, and similar intervention duration. The outcomes included risk factors for CVD. Random-effects model meta-analyses and subgroup meta-analyses were performed. Fifteen eligible trials analyzed a total of 534 subjects. Almond intervention significantly decreased total cholesterol (summary net change: −10.69 mg/dL; 95% CI: −16.75, −4.63 mg/dL), LDL cholesterol (summary net change: −5.83 mg/dL; 95% CI: −9.91, −1.75 mg/dL); body weight (summary net change: −1.39 kg; 95% CI: −2.49, −0.30 kg), HDL cholesterol (summary net change: −1.26 mg/dL; 95% CI: −2.47, −0.05 mg/dL), and apolipoprotein B (apoB) (summary net change: −6.67 mg/dL; 95% CI: −12.63, −0.72 mg/dL). Triglycerides, systolic blood pressure, apolipoprotein A1, high-sensitivity C-reactive protein, and lipoprotein (a) showed no difference between almond and control in the main and subgroup analyses. Fasting blood glucose, diastolic blood pressure, and body mass index significantly decreased with almond consumption of >42.5 g compared with ≤42.5 g. Almond consumption may reduce the risk of CVD by improving blood lipids and by decreasing body weight and apoB. Substantial heterogeneity in eligible studies regarding almond interventions and dosages precludes firmer conclusions.

Lifestyle and sociodemographic risk factors for gastroschisis: a systematic review and meta-analysis

2020 ◽  
Vol 105 (8) ◽  
pp. 756-764 ◽  
Author(s):  
Silvia Baldacci ◽  
Michele Santoro ◽  
Alessio Coi ◽  
Lorena Mezzasalma ◽  
Fabrizio Bianchi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Genetic Risk ◽  
Illicit Drugs ◽  
Meta Analysis ◽  
Genetic Risk Factors ◽  
Epidemiological Studies ◽  
Black Mothers ◽  
Increased Risk ◽  
Sociodemographic Risk ◽  
Meta Analyses

BackgroundGastroschisis is strongly associated with young maternal age. This association suggests the need for further investigations on non-genetic risk factors. Identifying these risk factors is a public health priority in order to develop prevention strategies aimed at reducing the prevalence and health consequences in offspring.ObjectiveTo systematically assess and quantitatively synthesise the available epidemiological studies to evaluate the association between non-genetic risk factors and gastroschisis.MethodsLiterature from PubMed, EMBASE and Scopus was searched for the period 1990–2018. Epidemiological studies reporting risk estimates between lifestyle and sociodemographic risk factors and gastroschisis were included. Two pairs of reviewers independently extracted information on study characteristics following Preferred Reporting Items for Systematic Reviews and Meta-Analyses and MOOSE (Meta-analysis Of Oservational Studies in Epidemiology) guidelines. Relative risk (RR) estimates were calculated across the studies and meta-analysis was performed using random-effects model.ResultsWe identified 58 studies. Meta-analyses were conducted on 29 studies. Maternal smoking (RR 1.56, 95% CI 1.40 to 1.74), illicit drug use (RR 2.14, 95% CI 1.48 to 3.07) and alcohol consumption (RR 1.40, 95% CI 1.13 to 1.70) were associated with an increased risk of gastroschisis. A decreased risk among black mothers compared with non-Hispanic white mothers (RR 0.49, 95% CI 0.38 to 0.63) was found. For Hispanic mothers no association was observed.ConclusionsExposure to smoking, illicit drugs and alcohol during pregnancy is associated with an increased risk of gastroschisis. A significantly decreased risk for black mothers was observed. Further epidemiological studies to assess the potential role of other environmental factors are strongly recommended.PROSPERO registration numberCRD42018104284.

Factor V Leiden Is Associated with Premature Myocardial Infarction.

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 1817-1817
Author(s):  
Flora Peyvandi ◽  
Marta Spreafico ◽  
Luisa Foco ◽  
Luisa Bernardinelli ◽  
Stefano Duga ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Meta Analysis ◽  
Large Population ◽  
Factor V Leiden ◽  
Coagulation Factor ◽  
Factor V ◽  
Gain Of Function ◽  
Increased Risk ◽  
Meta Analyses

Abstract Plasma levels of haemostatic proteins involved in coagulation and fibrinolysis may represent an important intermediate phenotype for cardiovascular diseases (because increased levels of these proteins have been associated with an increased/reduced risk of thrombosis). However, investigation in arterial diseases of gain-of-function polymorphisms of genes encoding coagulation factor V (F5 G1691A) and prothrombin (F2 G20210A), established risk factors for venous thrombosis, have generally indicated weak or no associations in a number of conflicting and inconclusive reports [Ye et al., Lancet2006;367:651–8]. These negative results might be due to the sample size, too small to reliably assess relatively small genetic effects. Recently, a meta-analysis of 4,944 patients and 7,090 controls on the association of the F2 G20210A and ischemic heart disease [Burzotta et al, Heart2004;90:82–6], and a meta-analysis of 66,155 cases and 91,307 controls on the association of haemostatic genetic variants and coronary artery disease (CAD) [Ye et al, Lancet2006;367:651–8], found that either F2 G20210A and F5 G1691A polymorphisms were associated with a moderately increased risk of CAD. Results from these meta-analyses, large but based respectively upon 19 and 100 different studies all of rather small size, should be taken cautiously. Considering that genetic factors play a particularly important role in CAD occurring in the young, with usually less coronary atherosclerosis and a high prevalence of normal or near-normal coronary angiograms, we chose to replicate the meta-analysis results by investigating an adequately large population of 1,864 Italian patients who developed myocardial infarction (MI) before the age of 45 yrs (1,655 men and 209 women) and 1,864 age- and sex-matched controls. Genotyping was performed by Sequenom MassARRAY platform. Statistical analysis was performed fitting a conditional logistic model with STATA 9.2 software. Our results showed that the minor A allele of F5 G1691A (2.6% frequency in cases and 1.7% in controls) was associated with a moderately increased risk of MI (OR:1.59; 95% CI:1.14–2.20; P=0.006). The association remained statistically significant after adjustment for traditional risk factors, including diabetes, smoking, hypertension, and hypercholesterolemia (OR:1.81; 95% CI:1.14–2.87; P=0.012). The minor A allele of F2 G20210A (2.4% frequency in cases and 1.9% in controls) was not associated with the risk of MI (OR:1.27; 95% CI:0.93–1.74; P=0.133), even after adjustment (OR:1.19; 95% CI:0.77–1.85; P=0.429). In conclusion, results of the previous meta-analyses are replicated only partially in this cohort of young MI patients, the largest investigated so far, as only the gain-of-function variant F5 G1691A (but not F2 G20210A) was associated with an increased risk of MI. Our results suggest that anticoagulant drugs might be considered for secondary prophylaxis of MI in patients with the F5 gene variant, who carry a procoagulant phenotype.

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