Face to face lectures in the Laboratory of Biomathematics of the Department and the auditorium
MANDATORY PRESENCE: NO
In each course, laboratory exercises are carried out on a computer
Use of ICT 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:
This course introduces the principles of Evidence-Based Medicine and the methodology of Meta-Analysis to assist students in evaluating and interpreting results.
published clinical studies with the ultimate goal of their application in clinical practice.
Upon successful completion of the course, the student will be able to:
ü Understand the types of clinical studies
ü Systematically search for clinical studies from information sources (e.g. Cochrane Library, etc.)
ü To methodologically evaluate clinical studies and their meta-analyses
ü To process and extract clinical study data
ü To meta-analyze the results of clinical studies, present them and interpret them
ü To evaluate and meta-analyze the data of diagnostic studies
ü To become familiar with the decision-making process based on statistical data
General Abilities
Search, 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 pyramid of indications.
Search for clinical studies and sources of clinical information (e.g. Cochrane Library, etc.).
Critical methodological/statistical evaluation of clinical studies.
Clinical Review Methodology 1: checking for the existence of published reviews, formulating the clinical question and developing the systematic review protocol and designing the search method and conducting a literature search.
Clinical Review Methodology 2. Study selection, data extraction and interpretation of results
Meta-analysis 1: Synthesis of clinical trial results when there is no heterogeneity between studies.
Meta-analysis 2. Calculation and investigation of heterogeneity between studies..
Meta-analysis 3: Synthesis of the results of clinical studies when there is heterogeneity between studies.
Meta-analysis 4: Checking for errors,
Assessing the quality of 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:
The teaching notes are distributed:
Zintzaras Elias (2015) “Methodology of meta-analyses”,
Postgraduate Course “Biomedical Research Methodology, Biostatistics and Clinical Bioinformatics”,
Department of Medicine, University of Thessaly
Zintzaras Elias and Doxani Chrysoula (2015) “Evidence-Based and Translational Medicine”,
Postgraduate Program “Biomedical Research Methodology, Biostatistics and Clinical Bioinformatics”
Department of Medicine, University of Thessaly
In addition, the following bibliography is indicated as an indication
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
English 
Greek