Pradeep Kumar

About

I am currently working as a Scientist II (Epidemiology) at Clinical Research Unit (CRU), All India Institute of Medical Sciences (AIIMS), New Delhi, India. My research area includes Stroke biomarker discovery, neurogenetics, neuroepidemiology, and neuroimaging.

Employment

• All India Institute of Medical Sciences Scientist II (Epidemiology)
  2022 - Present
• All-India Institute of Medical Sciences Senior Research Officer
  2020 - 2022
• Army Hospital - Research and Referral Research Associate-III
  2016 - 2020
• All India Institute of Medical Sciences Research Fellow
  2010 - 2016

Education

• All India Institute of Medical Sciences PhD
  2011 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (82)

• The Great Recanalization Debate in Acute Ischemic Stroke: Direct Thrombectomy versus Bridging Therapy—A Meta-analysis of Randomized Controlled Trials
  2026 DOI: 10.64898/2026.05.10.26352784
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• Long-Term Outcomes in Antibody-Negative Autoimmune Encephalitis
  Neurology Clinical Practice 2026 DOI: 10.1212/CPJ.0000000000200602
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• Direct oral anticoagulants for stroke prevention in patients with atrial fibrillation: A network meta-analysis of randomized trials
  Indian Heart Journal 2026 DOI: 10.1016/j.ihj.2025.12.002
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• The APOE paradox: divergent genetic influences on hemorrhagic stroke risk-A meta-analysis
  Frontiers in Stroke 2026 DOI: 10.3389/FSTRO.2026.1684121
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• Evolving Epidemiology of Stroke in India: Burden, Inequalities, and Risk Factors from 1990 to 2023 with Projections to 2035
  2026 DOI: 10.64898/2026.05.12.26352992
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• Mechanical Thrombectomy for Distal Medium Vessel Occlusions in Acute Ischemic Stroke: A Systematic review and Meta-Analysis of Randomized Controlled Trials
  2025 DOI: 10.1101/2025.06.26.25330382
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• Direct Oral Anticoagulants for Stroke Prevention in Atrial Fibrillation: A Global Synthesis of Randomized Evidence through Network Meta-Analysis
  2025 DOI: 10.1101/2025.05.18.25327653
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• Subtyping strokes using blood‐based protein biomarkers: A high‐throughput proteomics and machine learning approach
  European Journal of Clinical Investigation 2025 DOI: 10.1111/eci.14372
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• Impact of iron-folic acid supplementation on maternal and neonatal outcomes: A systematic review & meta-analysis
  Nutrition and Health 2025 DOI: 10.1177/02601060241299010
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• Effect of different Iron-Folic acid (IFA) formulations, doses, and frequencies on pregnancy and neonatal outcomes compared to multiple micronutrients (MMN) among pregnant women: a systematic review and meta-analysis
  BMC Pregnancy and Childbirth 2025 DOI: 10.1186/S12884-025-08292-7
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