Thomas Trikalinos

About

Thomas Trikalinos is a Professor of Health Services, Policy and Practice at Brown University and serves as the Director of the Center for Evidence Synthesis in Health (CESH). He studied medicine in Greece and has a research focus on developing novel methodologies for comparative effectiveness research, emphasizing evidence synthesis through systematic review and meta-analysis, as well as evidence contextualization via decision and economic analysis. His work aims to modernize and optimize evidence-synthesis processes by integrating methodologies from computer science and applied mathematics. His current research concentrates on decision making under deep uncertainty, contributing to the advancement of evidence-based medicine and health policy.

Research topics

• Medicine
• Political Science
• Computer Science
• Internal medicine
• Psychiatry
• Statistics
• Psychotherapist
• Mathematics
• Clinical psychology
• Nursing

Selected publications

• Forecasting COVID-19 and Analyzing the Effect of Government Interventions

  medRxiv (Cold Spring Harbor Laboratory) · 2020 · 53 citations

  One key question in the ongoing COVID-19 pandemic is understanding the impact of government interventions, and when society can return to normal. To this end, we develop DELPHI, a novel epidemiological model that captures the effect of under-detection and government intervention. We applied DELPHI across 167 geographical areas since early April, and recorded 6% and 11% two-week out-of-sample Median Absolute Percentage Error on cases and deaths respectively. Furthermore, DELPHI successfully predi…

  PublisherOA PDFDOI

• Treatment of Obsessive-Compulsive Disorder in Children and Youth: A Meta-Analysis

  PEDIATRICS · 2024-12-06 · 10 citations

  articleOpen access

  CONTEXT: Treatments for obsessive-compulsive disorder (OCD) in children and adolescents. OBJECTIVE: Evaluate the comparative efficacy of behavioral and pharmacologic treatments. DATA SOURCES: Six databases and ClinicalTrials.gov registry; search last updated on 5/15/2024. STUDY SELECTION: Dual screening augmented by Abstrackr machine learning algorithm. DATA EXTRACTION/ANALYSIS: Participant characteristics, intervention details and risk of bias. RESULTS: 71 randomized controlled trials (RCTs). I…

  PublisherDOI

• Strategies and Outcomes of Age-Friendly Health System Implementation in Outpatient Settings: A Systematic Review

  INQUIRY The Journal of Health Care Organization Provision and Financing · 2025-01-01 · 8 citations

  reviewOpen access

  The Age-Friendly Health System (AFHS) movement has spread widely in recent years, with nearly 5000 healthcare organizations across the country recognized as Age-Friendly. Despite this broad recognition, there is little focus on how AFHS are implemented and the impact of implementation. The objectives of this study were to describe the strategies employed to support AFHS implementation in outpatient settings and to identify the measures used to evaluate implementation and effectiveness. We conduc…

  PublisherDOI

• Brief Assessment Tools for Obsessive-Compulsive Disorders in Children: A Systematic Review

  PEDIATRICS · 2024-12-06 · 5 citations

  reviewOpen access

  CONTEXT: Children and adolescents with suspected obsessive-compulsive disorder (OCD). OBJECTIVE: To estimate the comparative performance of brief diagnostic assessment tools. DATA SOURCES: PubMed, the Cochrane Register of Clinical Trials, the Cochrane Database of Systematic Reviews, Embase, CINAHL, PsycINFO, and ERIC, and for unpublished studies with reported results in ClinicalTrials.gov through May 15, 2024. STUDY SELECTION: Studies of children (up to age 21) with a clinical suspicion of OCD t…

  PublisherDOI

• Machine Learning Tools To (Semi-)Automate Evidence Synthesis: A Rapid Review and Evidence Map

  2025-07-10 · 3 citations

  reviewSenior author

  Introduction. Tools that leverage machine learning, a subset of artificial intelligence, are becoming increasingly important for conducting evidence synthesis as the volume and complexity of primary literature expands exponentially. In response, we have created a living rapid review and evidence map to understand existing research and identify available tools. Methods. We searched PubMed, Embase, and the ACM Digital Library from January 1, 2021, to April 3, 2024, with update searches on October…

  PublisherDOI

Recent grants

• NIH Grant R01HS018494

  NIH · $1.2M · 2013

• Population Modeling of Bladder Cancer Detection and Control

  NIH · $3.4M · 2021–2026

• Develop Patient Centered Outcomes Scholars for Comparative Effectiveness Research

  NIH · $2.6M · 2014–2020

Frequent coauthors

• Ethan M. Balk

  Brown University

  302 shared

• Mei Chung

  Tufts University

  260 shared

• Gowri Raman

  Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

  240 shared

• Issa J Dahabreh

  221 shared

• John P. A. Ioannidis

  Stanford University

  207 shared

• Stanley Ip

  184 shared

• Alice H. Lichtenstein

  United States Department of Agriculture

  180 shared

• Joseph Lau

  176 shared

Education

• M.D.

  Greece

Similar researchers at Brown University

• Christopher Schmidh-151
• Constantine Gatsonish-91
• George Papandonatosh-70