Face to face lectures in the Laboratory of Biomathematics of the Department and the auditorium
MANDATORY PRESENCE: NO
Lectures in powerpoint (ppt) format
In each session, laboratory exercises are carried out on a computer
Use of Computer technology in communication with students (website, e-mail, etc.)
STUDENT EVALUATION
The evaluation of the students is performed in Greek with written exercise.
Objective Objectives/Desired Results:
The general purpose of the course is to introduce students to the principles of Evidence-Based Medicine and the methodology of Meta-Analyses and to enable them to evaluate and interpret the results of published clinical studies with the ultimate goal of applying them in clinical practice.
The specific objectives of the course are specialized in the following intended learning outcomes:
Upon successful completion of the course, the student will be able to:
He/she will be able to use the acquired knowledge in order to:
To understand the types of clinical trials
To systematically search for clinical studies from information sources (e.g. Cochrane Library, etc.)
To methodologically evaluate clinical studies as well as their meta-analyses
To process and extract clinical trial data
To meta-analyze the results of clinical studies, to present and interpret them
To evaluate and meta-analyze the data of diagnostic studies
To become familiar with the decision-making process based on statistical data
General Abilities
Research, analysis and synthesis of data and information, using the necessary technologies
Decision making
Autonomous work
Teamwork
Working in an international environment
Promoting free, creative and inductive thinking
Course URL :
http://biomath.med.uth.gr
Course Description:
Categories of medical research and the hierarchy of evidence.
Search for clinical studies and sources of clinical information (eg Cochrane Library, etc.).
Critical methodological/statistical evaluation of clinical studies.
Clinical Review Methodology 1: checking for published reviews, formulating the clinical question and developing the systematic review protocol and planning the search and conducting a literature search.
Clinical Review Methodology 2. Selection of studies, data extraction and interpretation of results
Meta-analysis 1: Synthesis of results of clinical studies when there is no heterogeneity between studies.
Meta-analysis 2. Calculation and investigation of heterogeneity between studies.
Meta-analysis 3: Synthesis of results of clinical studies when there is heterogeneity between studies.
Meta-analysis 4: Checking for errors,
Evaluation of the quality of the studies with the CONSORT, STROBE and PRISMA tools.
Decision making with a statistical approach.
Diagnostic studies 1: diagnostic indicators and assessment of study quality based on the STARD questionnaire.
Diagnostic studies 2: systematic review and meta-analysis
Recommended reading:
Teaching notes are distributed:
Elias Zintzaras (2015) “Methodology of Meta-Analysis”
Postgraduate Programme (MSc) «Research Methodology in Biomedicine, Biostatistics and Clinical Bioinformatics at University of Thessaly»
Elias Zintzaras and Chrysoula Doxani (2015) “Evidence-based Medicine and Translational Medicine”
Postgraduate Programme (MSc) «Research Methodology in Biomedicine, Biostatistics and Clinical Bioinformatics at University of Thessaly»
In addition, the following bibliography is indicated
Anne Whitehead, Meta-Analysis Of Controlled Clinical Trials, Wiley, 2013
Cochrane Handbook for Systematic Reviews of Interventions version 6.2 The Cochrane Collaboration. Cochrane, 2021