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Author

Agnė Šatrauskienė

Observed names: A Satrauskiene, A. Satrauskiene, A. Šatrauskiene
Institution: Vilnius University
ORCID: 0009-0004-8809-9355
Observed ORCID: 0009-0004-8809-9355
OpenAlex ID: A5030718480
Safety Evaluation of α-Lipoic Acid Supplementation: A Systematic Review and Meta-Analysis of Randomized Placebo-Controlled Clinical Studies
2020 · Federica Fogacci, Manfredi Rizzo, et al. · Antioxidants · 84
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Mir-1, miR-122, miR-132, and miR-133 Are Related to Subclinical Aortic Atherosclerosis Associated with Metabolic Syndrome
2021 · Agnė Šatrauskienė, Rokas Navickas, et al. · International Journal of Environmental Research and Public Health · 28
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Pathophysiology of Circulating Biomarkers and Relationship With Vascular Aging: A Review of the Literature From VascAgeNet Group on Circulating Biomarkers, European Cooperation in Science and Technology Action 18216
2021 · Kristina R. Gopcevic, Eugenia Gkaliagkousi, et al. · Frontiers in Physiology · 22
The Ultrasound Window Into Vascular Ageing: A Technology Review by the VascAgeNet COST Action
2023 · Elisabetta Bianchini, Andrea Guala, et al. · Journal of Ultrasound in Medicine · 20
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Efficacy and Safety of Armolipid Plus®: An Updated PRISMA Compliant Systematic Review and Meta-Analysis of Randomized Controlled Clinical Trials
2021 · Arrigo F. G. Cicero, Cormac Kennedy, et al. · Nutrients · 20
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Navigating the Landscape of Cardiovascular Risk Scores: A Comparative Analysis of Eight Risk Prediction Models in a High-Risk Cohort in Lithuania
2024 · Petras Navickas, Laura Lukavičiūtė, et al. · Journal of Clinical Medicine · 7
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A Rare Case of Primary Purulent Pericarditis Caused by Streptococcus constellatus
2023 · Medeinė Kapačinskaitė, Dovilė Gabartaitė, et al. · Medicina · 7
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PREVENT Equation: The Black Sheep among Cardiovascular Risk Scores? A Comparative Agreement Analysis of Nine Prediction Models in High-Risk Lithuanian Women
2024 · Petras Navickas, Laura Lukavičiūtė, et al. · Medicina · 5
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Identifying differential miR and gene consensus patterns in peripheral blood of patients with cardiovascular diseases from literature data
2017 · Agnė Šatrauskienė, Rokas Navickas, et al. · BMC Cardiovascular Disorders · 5
Risky business: exploring statin eligibility across nine cardiovascular risk prediction models
2025 · P Navickas, L Lukaviciute-Navickiene, et al. · European Journal of Preventive Cardiology · 1
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Effects of Slow Deep Breathing on Short-term Changes in Blood Pressure, Heart Rate and O2 Saturation at Altitude
2019 · E. Polychronopoulou, M. Berney, et al. · Journal of Hypertension · 1
Beyond Arterial Markers: Can Micrornas Enhance Early Atherosclerosis Detection?
2026 · Agnė Šatrauskienė, Rokas Navickas, et al. · Atherosclerosis
The Role of Cardiovascular Risk Prediction Model Selection in Primary Prevention: An Observational Study of Statin Eligibility Agreement Across Nine Scores in a Lithuanian Primary-Prevention Cohort
2026 · Petras Navickas, Sigita Glaveckaitė, et al. · Medicina
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Efficacy and safety of armolipid Plus®: An updated prisma compliant systematic review and meta-analysis
2021 · A.F.G. Cicero, C. Kennedy, et al. · Atherosclerosis
Additional file 1: of Identifying differential miR and gene consensus patterns in peripheral blood of patients with cardiovascular diseases from literature data
2017 · Agnė Šatrauskienė, Navickas, Rokas, et al. · Figshare
An exploratory enalysis of the relation between metabolic syndrome factors and microRNA data
2016 · Rūta Užupytė, Tomas Krilavičius, et al.
Works count: 17
Citation count: 200
H-index: 7
I10-index: 5
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