0:00 / 0:00
Cochrane Early Career Professionals lecture series: cross-sectional studies
Cochrane
14K subscribers • 30 videos on Rounds • Health institution
- Published by Cochrane, one of the health institutions Rounds lists. Nobody has recommended it in the communities yet, so it ranks below community picks.
- Presented by Dr. Guilherme, Chief Resident in Internal Medicine at the University of São Paulo, as the video describes them
Aimed at clinicians, students or researchers. Education, not medical advice.
97 views2 months ago
Evidence and public healthReading studiesMedical training and practice
Dr. Guilherme explains how to evaluate prevalence, structure research questions using PEO frameworks, and recognize the limitations of cross-sectional studies.
In this lecture, Dr. Guilherme (Chief Resident in Internal Medicine at the University of São Paulo, Brasil) walks us through cross-sectional studies, explaining how to evaluate prevalence, structure appropriate research questions using PEO frameworks, and recognize key methodological advantages and limitations. This series is a project led by the Cochrane Early Career Professionals Network, designed to build foundational skills in evidence-based healthcare for undergraduate students, early-career researchers, and health professionals worldwide. In this session, you will learn: • How to define the purpose and utility of cross-sectional study designs • How to measure and interpret prevalence (and why prevalence differs from incidence and risk) • How to structure a PEO (population, exposure, outcome) research question instead of PICO • Practical clinical applications using a real-world diabetic kidney disease vignette • Major methodological limitations (e.g. reverse causality, confounding, and spurious associations) • How to evaluate study quality using the STROBE statement ⏱️ Timestamps: - Introduction & overview of the Cochrane Early Career Professionals Network - Speaker introduction: Dr. Guilherme - Session objectives - Clinical vignette: evaluating albuminuria in diabetes - Matching clinical questions to the right study design - Defining outcomes & understanding prevalence - Pre-test probability: clinical examples - The "snapshot in time" concept - When to use a cross-sectional design - Descriptive vs. analytical vs. serial cross-sectional studies - Assessing quality: the STROBE statement - Key limitations: association vs. causality & confounding - Formulating the research question (PEO framework) - Key takeaways - Q&AWhy it's here
From a health institutionCochrane is on Rounds' list of health institutions, and this upload is one of its most-watched lectures or explainers. Nobody has recommended it in the communities yet, so it ranks below community picks.