Dr. Antonio Steardo, a pharmacologist with international experience in clinical trial evaluation and methodological analysis, supports professionals and institutions in designing robust, reproducible research studies that comply with regulatory standards. Thanks to advanced expertise in methodology, statistics, and clinical trial management, he offers comprehensive support for developing effective protocols and correctly interpreting scientific evidence.
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Introduction to study design and research methods
Research methodologies
Gaining an in-depth understanding of the main approaches used in clinical and healthcare research, evaluating when and why each method is appropriate. This allows for the setup of solid, consistent studies in line with scientific standards.
Strengths and weaknesses of study models
Critical analysis of different study designs to identify advantages, limitations, potential biases, and methodological risks. Accurate evaluation allows for choosing the most robust model for the research objectives.
Appropriateness of study design
Verifying the consistency between the research question, population, outcomes, and the chosen model. The goal is to ensure that the study is truly capable of answering the clinical question.
Choice of methodological approaches
Recognizing when an approach is suitable or inappropriate relative to the clinical or experimental context. This avoids conceptual errors and improves the overall quality of the study.
Basic statistical analysis
Using key statistical tools to correctly interpret data, understand the significance of results, and assess the strength of conclusions.
Methodologies for evaluating healthcare interventions
span class="testo">Application of the most common methods to investigate the efficacy, safety, and impact of healthcare interventions, from controlled trials to observational studies.
Statistical approaches in clinical methodologies
Knowledge of the analytical methods best suited to different types of studies, ensuring consistency between design and analysis.
Statistical analysis for each study design
Understanding which statistical tools to use based on the structure of the clinical study, improving the quality of data interpretation.
Research protocol development
Defining the essential elements of an effective protocol: objectives, methodology, inclusion criteria, outcomes, and analytical plan.
Elements of an effective protocol
Identifying the aspects that make a protocol clear, reproducible, and compliant with international guidelines.
Clinical protocol preparation
Drafting complete and structured protocols, following validated strategies and good clinical research practices.
The structure of clinical trials and experimental therapies
Analytical and quantitative methods
Knowledge of the methods most used to analyze clinical and experimental data, with a focus on their practical application in innovative therapies.
Application of Good Clinical Practice
Translating methodological knowledge into correct trial execution, ensuring quality, safety, and data integrity.
span class="titolo">Translational medicine
The link between preclinical research, clinical experimentation, and institutional application, facilitating the transition from evidence to the patient.
Critical evaluation of publications
Competent analysis of published clinical studies, with the ability to identify limitations, bias, and methodological robustness.
Evidence-based< practice
Applying the principles of evidence-based healthcare to improve clinical decisions and quality of care.
Formulating the clinical question
Constructing clear and relevant clinical questions according to EBM criteria to guide the search for evidence.
Efficient evidence searching
Rapid and accurate identification of the most relevant publications using advanced search strategies.
Interpretation of different study types
Evaluation of RCTs, systematic reviews, diagnostic, prognostic, and qualitative studies, understanding their structure and limitations.
Translating evidence into practice
Practical application of research results to daily clinical practice, improving the effectiveness of interventions.
Clinical trial management
Clinical Trial Units study models
Understanding the various operational models used by CTUs and identifying their advantages, limitations, and applications.
Classification of clinical studies
Correct identification of the study type and the associated regulatory framework, essential for regulatory compliance.
Trial protocol development
Drafting complete protocols compliant with current regulations, integrating methodological, ethical, and operational aspects.
Trial life cycle
span class="testo">Management of all trial phases: approvals, project plans, statistical analysis, data management, risk-based monitoring, and corrective actions.
The role of Clinical Trial Units
Understanding the functions, responsibilities, and processes of units dedicated to clinical trial management within institutions.