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Ioanna Tzoulaki
Researcher at Imperial College London
Publications - 296
Citations - 26795
Ioanna Tzoulaki is an academic researcher from Imperial College London. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 68, co-authored 257 publications receiving 20323 citations. Previous affiliations of Ioanna Tzoulaki include Health Protection Agency & University of Edinburgh.
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Journal ArticleDOI
Endogenous sex steroid hormones and colorectal cancer risk: a systematic review and meta-analysis
Emmanouil Bouras,Christopher Papandreou,Ioanna Tzoulaki,Ioanna Tzoulaki,Konstantinos K. Tsilidis,Konstantinos K. Tsilidis +5 more
TL;DR: In this paper, a systematic review and meta-analysis was conducted to investigate the associations between endogenous concentrations of sex hormones and colorectal cancer risk, and no associations were found for endogenous sex steroid hormones in men or post-menopausal women with CRC risk.
Journal ArticleDOI
Greece giving up on tobacco control.
TL;DR: The Greek government has announced plans to introduce a smoke-free law for cigarettes and tobacco products in the country, aimed at reducing the risk of secondhand smoke and promoting healthy smoking.
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Associations of Cardiovascular and Non-Cardiovascular Comorbidities with Dementia Risk in Patients with Diabetes: Results from a Large UK Cohort Study
Gang Zheng,Bowen Su,Chinedu T. Udeh-Momoh,Geraint Price,Ioanna Tzoulaki,Eszter P. Vamos,A Majeed,Elio Riboli,Sara Ahmadi-Abhari,Lefkos T. Middleton +9 more
TL;DR: Time-varying Cox regressions showed T2D patients with stroke, peripheral vascular disease, atrial fibrillation, heart failure or hypertension were at higher risk of dementia compared to those without such comorbidities, and a range of cardiovascular and non-cardiovascular comorbbidities were associated with further increases of dementia risk in T1D patients.
Journal ArticleDOI
Finding Correspondence between Metabolomic Features in Untargeted Liquid Chromatography–Mass Spectrometry Metabolomics Datasets
R. Climaco Pinto,Ibrahim Karaman,Matthew R. Lewis,Jenny Hällqvist,Manuja Kaluarachchi,Gonçalo Graça,Elena Chekmeneva,Brenan R. Durainayagam,Mohsen Ghanbari,M. Arfan Ikram,Henrik Zetterberg,Julian L. Griffin,Paul Elliott,Ioanna Tzoulaki,Abbas Dehghan,David M. Herrington,Timothy M. D. Ebbels +16 more
TL;DR: This work presents a method to find feature correspondence between two similar LC–MS metabolomics experiments or batches using only the features’ RT, m/z, and FI, and demonstrates the method on both real and synthetic datasets, using six orthogonal validation strategies.
Posted ContentDOI
Drug repurposing of metformin for Alzheimer’s disease: Combining causal inference in medical records data and systems pharmacology for biomarker identification
Marie-Laure Charpignon,Bella Vakulenko-Lagun,B. Zhang,C. Magdomo,Bowen Su,Kyle Evans,Steven Rodriguez,A. Sololov,Sarah A. Boswell,Yi-Han Sheu,M. Somai,Lefkos T. Middleton,B. T. Hyman,Rebecca A. Betensky,S. N. Finkelstein,R. E. Welsch,Ioanna Tzoulaki,Ioanna Tzoulaki,Deborah Blacker,Saumya Das,Mark W. Albers +20 more
TL;DR: In this paper, the authors used a competing risks approach and carefully grounded that within a causal inference emulated trial framework to identify candidate biomarkers of metformin's actions in the brain that might mediate reduced dementia risk.