0000000000377199
AUTHOR
Ioanna Tzoulaki
showing 8 related works from this author
Dietary fiber and health outcomes: an umbrella review of systematic reviews and meta-analyses
2018
Background Several studies have suggested that higher consumption of dietary fiber is beneficial for a variety of health outcomes. However, many results have been inconclusive and, to our knowledge, there has been no attempt to systematically capture the breadth of outcomes associated with dietary fiber intake or to systematically assess the quality and the strength of the evidence on the associations of dietary fiber intake and different health outcomes or medical conditions. Objective The aim of this study was to describe the diverse health outcomes convincingly associated with dietary fiber consumption. Design This was an umbrella review of systematic reviews with meta-analysis of observ…
Effect of low-dose aspirin on health outcomes: An umbrella review of systematic reviews and meta-analyses.
2020
Aims:\ud \ud This study aimed to use an umbrella review methodology to capture the range of outcomes that were associated with low‐dose aspirin and to systematically assess the credibility of this evidence.\ud \ud Methods:\ud \ud Aspirin is associated with several health outcomes, but the overall benefit/risk balance related to aspirin use is unclear. We searched three major databases up to 15 August 2019 for meta‐analyses of observational studies and randomized controlled trials (RCTs) including low‐dose aspirin compared to placebo or other treatments. Based on random‐effects summary effect sizes, 95% prediction intervals, heterogeneity, small‐study effects and excess significance, signifi…
Additional file 1: of The association of depression and all-cause and cause-specific mortality: an umbrella review of systematic reviews and meta-ana…
2018
Supplementary online text and tables. Search string used; studies excluded, with reasons (Table S1); description of 23 meta-analytic estimates of the associations of depression and mortality across different populations (Table S2); adjustment of individual studies (Table S3); AMSTAR quality assessment (Table S4); evaluation of heterogeneity, small-study effects, and excess significance bias (Table S5); sensitivity analyses using credibility ceilings (Table S6). (DOCX 250Â kb)
Metformin and health outcomes:An umbrella review of systematic reviews with meta-analyses
2021
Background:\ud \ud The objective was to capture the breadth of outcomes that have been associated with metformin use and to systematically assess the quality, strength and credibility of these associations using the umbrella review methodology.\ud \ud Methods:\ud \ud Four major databases were searched until 31 May 2020. Meta‐analyses of observational studies and meta‐analyses of randomized controlled trials (RCTs) (including active and placebo control arms) were included.\ud \ud Results:\ud \ud From 175 eligible publications, we identified 427 different meta‐analyses, including 167 meta‐analyses of observational studies, 147 meta‐analyses of RCTs for metformin vs placebo/no treatment and 11…
The association of depression and all-cause and cause-specific mortality: An umbrella review of systematic reviews and meta-analyses
2018
Background Depression is a prevalent and disabling mental disorder that frequently co-occurs with a wide range of chronic conditions. Evidence has suggested that depression could be associated with excess all-cause mortality across different settings and populations, although the causality of these associations remains unclear. Methods We conducted an umbrella review of systematic reviews and meta-analyses of observational studies. PubMed, PsycINFO, and Embase electronic databases were searched through January 20, 2018. Systematic reviews and meta-analyses that investigated associations of depression and all-cause and cause-specific mortality were selected for the review. The evidence was g…
Additional file 1: of The association of depression and all-cause and cause-specific mortality: an umbrella review of systematic reviews and meta-ana…
2018
Supplementary online text and tables. Search string used; studies excluded, with reasons (Table S1); description of 23 meta-analytic estimates of the associations of depression and mortality across different populations (Table S2); adjustment of individual studies (Table S3); AMSTAR quality assessment (Table S4); evaluation of heterogeneity, small-study effects, and excess significance bias (Table S5); sensitivity analyses using credibility ceilings (Table S6). (DOCX 250Â kb)
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
2016
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation o…
Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts
2018
Source at https://doi.org/10.1186/s13058-018-1073-0. Licensed CC BY-NC-ND 4.0. Background: Few published breast cancer (BC) risk prediction models consider the heterogeneity of predictor variables between estrogen-receptor positive (ER+) and negative (ER-) tumors. Using data from two large cohorts, we examined whether modeling this heterogeneity could improve prediction. Methods: We built two models, for ER+ (ModelER+) and ER- tumors (ModelER-) , respectively, in 281,330 women (51% postmenopausal at recruitment) from the European Prospective Investigation into Cancer and Nutrition cohort. Discrimination (C-statistic) and calibration (the agreement between predicted and observed tumor risks)…