Module
Methods in systematic reviews and meta-analysis of interventions
Teaching conducted in English
This two-day module will be conducted in collaboration with Cochrane France. It will cover methods for systematic reviews and meta-analyses of interventions.
More specifically, we will address the following points:
- formulating the research question (PICO approach), developing the protocol (PRISMA-P), assessing risk of bias (ROB2), synthesising results through meta-analysis, and interpreting results using the GRADE framework.
- the risks and opportunities of AI tools for accelerating review processes.
Practical exercises will be integrated throughout the module, with an introduction to existing software such as Covidence, Revman, and GradePro.
Prerequisites: a basic understanding of research methods and statistics is useful but not required.
Software to be installed in advance: Covidence, Revman and GradePro
Practical information
Teachings
Dates
More info to come
Prices
Programme
Jour 1
- Welcome & Introduction to Systematic Reviews
Isabelle BOUTRON - Protocol Development & PRISMA-P Framework
Formulating the Research Question (PICO Approach)
Carolina GRANA - Search Strategy: Principles and Tools
Introduction to Screening Practical with Covidence
Carolina GRANA - Data Extraction – Concepts & Tools
Lina GHOSN - Risk of Bias Assessment using Practical ROB2
Isabelle BOUTRON, Mauricia DAVIDSON - Innovations in evidence synthesis Wrap-up & Q&A
Isabelle BOUTRON
Jour 2
- Meta-Analysis using RevMan – Hands-on Workshop
Elodie PERRODEAU - Risks and Opportunities of AI Tools in the Review Process
Isabelle BOUTRON - Interpreting Evidence with GRADE Practical with GradePro
Lina GHOSN - Final Discussion & Feedback
Speakers

Isabelle Boutron, MD, PhD, is a professor of epidemiology at Paris Cité University and director of the Centre for Research in Epidemiology and Statistics (CRESS). She is also director of Cochrane France, part of the international Cochrane network dedicated to improving health decision–making through the synthesis of evidence. Professor Boutron is internationally recognised for her work on improving methods for evaluating pharmacological and non-pharmacological interventions. Her methodological expertise covers randomised trials, bias assessment, blinding, placebo effects, external validity, complex interventions and innovative approaches to evidence synthesis, including living systematic reviews. She contributes significantly to international reporting standards as a member of the SPIRIT-CONSORT steering group and recently co-led the CONSORT 2025 update. She is also co-chair of the Cochrane Bias Methods Group. Isabelle led the COVID-NMA initiative, an open-access platform that provides a rolling synthesis of data from clinical trials on COVID-19 treatments and vaccines.
A pioneer in the field of research on research, Professor Boutron’s work explores ways to improve research practices through greater transparency, better reproducibility and reduced bias, particularly through the study of “spin”, or how biased presentation and interpretation of results can mislead readers. She has coordinated and led numerous international projects, including a Marie Skłodowska-Curie-funded doctoral programme on research methods, and is the author of over 200 articles published in renowned peer-reviewed journals.

Lina Ghosn is an epidemiologist at Cochrane France and part of the CRESS Methods team. She is a pharmacist and holds a Master’s degree in Public Health, specialising in comparative effectiveness research, from the University of Paris. She also teaches at the University of Paris, where she coordinates the university diploma in systematic reviews and meta-analyses in health. Lina’s work focuses on improving clinical research methods, with an emphasis on evidence synthesis, transparency in research, and communication of randomised controlled trial results. Her methodological expertise includes systematic reviews, network meta-analyses, and meta-studies evaluating challenges related to compliance with reporting guidelines such as CONSORT and its extensions. She is the author and co-author of several Cochrane reviews and cross-sectional studies, focused on improving the credibility and usability of clinical evidence. At Cochrane France, she coordinates national projects aimed at promoting the use of high-quality evidence in health decision-making. She also plays an active role in training and mentoring students and health professionals in systematic review methodology.

Carolina Grana holds a Doctor of Veterinary Medicine degree, a Master’s degree in Public Health (specialising in epidemiology) and a Master’s degree in Comparative Effectiveness Research. She has developed strong expertise in evidence synthesis, including data extraction, risk of bias assessment and systematic review preparation. During the COVID-19 pandemic, she wrote her first scientific article and co-authored two Cochrane reviews on vaccine effectiveness. Her research focuses primarily on transparency in scientific publishing and the dissemination of research results. She is actively involved in meta-research and methodology projects, contributing as an author and co-author to several publications in this field. In addition to her research work, Carolina teaches as part of the university diploma (DU) on systematic reviews and meta-analyses at Paris Cité University and supervises students working on evidence synthesis and related topics.

Elodie Perrodeau is a biostatistician in the Methods team at CRESS and Cochrane France. She plays a crucial role in conducting statistical analyses for various clinical studies, including randomised clinical trials and observational studies. She has recently taken an interest in exploring innovative approaches in observational studies, such as emulated trials. In addition to her work in the field of statistical analysis, she also teaches in the Master’s programme in Public Health in the Comparative Effectiveness Research programme and the University Diploma in Advanced Methods of Systematic Reviews and Meta-analyses at Paris Cité University.

