Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Introduction to Epidemiology01:26

Introduction to Epidemiology

1.2K
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
1.2K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

544
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
544
Protein Networks02:26

Protein Networks

4.2K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.2K
Protein Networks02:26

Protein Networks

2.5K
2.5K
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

2.7K
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
2.7K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

854
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
854

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Blood pressure management in reperfused ischemic stroke.

The Cochrane database of systematic reviews·2026
Same author

[Experience with Percutaneous Placement of an Intra-Aortic Balloon Pump in the Left Axillary Artery as a Bridge to Heart Transplantation: A Case Series].

Revista medica de Chile·2026
Same author

Quality of reporting of systematic reviews with meta-analysis of diagnostic test accuracy of rapid antigen tests for SARS-CoV-2 according to PRISMA-DTA: A meta-epidemiological survey.

Medwave·2026
Same author

Impact of matrix-construction assumptions on quantitative overlap assessment in overviews: A meta-research study.

Research synthesis methods·2026
Same author

Denervation surgery of the hand and wrist: A scoping review.

Journal of hand and microsurgery·2025
Same author

Aligning research funding and the production of useful evidence to reduce research waste.

BMJ evidence-based medicine·2025

Related Experiment Video

Updated: Oct 27, 2025

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

819

Introduction to network meta-analysis for evidence synthesis.

Catalina Gracia González-Xuriguera1, Laura Vergara-Merino2, Luis Garegnani3

  • 1Escuela de Medicina, Universidad de Valparaíso, Viña del Mar, Chile. ORCID: 0000-0002-8116-0529.

Medwave
|July 22, 2021
PubMed
Summary

Network meta-analysis systematically compares multiple treatments, ranking their effectiveness and safety using direct and indirect evidence. This method aids in selecting the best therapeutic option by analyzing complex treatment networks.

Keywords:
systematic reviews as topicnetwork meta-analysis

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

785
Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
09:50

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke

Published on: February 12, 2015

11.3K

Related Experiment Videos

Last Updated: Oct 27, 2025

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

819
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

785
Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
09:50

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke

Published on: February 12, 2015

11.3K

Area of Science:

  • Biostatistics
  • Clinical Epidemiology
  • Health Research Methodology

Background:

  • Clinical questions often involve comparing multiple therapeutic alternatives.
  • Choosing the optimal treatment requires ranking interventions by effectiveness and safety.
  • Systematic reviews are crucial for synthesizing evidence on treatment comparisons.

Purpose of the Study:

  • To present fundamental concepts of systematic reviews for multiple treatment comparisons using network meta-analysis.
  • To explain how network meta-analysis ranks treatment effectiveness and safety.
  • To introduce the modified Grading of Recommendation, Assessment, Development, and Evaluation (GRADE) approach for network meta-analysis.

Main Methods:

  • Network meta-analysis simultaneously analyzes direct and indirect treatment comparisons.
  • Network geometry visually represents the network structure and assesses comparison strength.
  • The transitivity assumption is a key validity check, ensuring no systematic differences beyond interventions.

Main Results:

  • Network meta-analysis enables the relative effectiveness assessment of all intervention pairs within a network.
  • It provides a ranking of interventions based on their comparative efficacy and safety.
  • A modified GRADE approach can assess evidence certainty and intervention ranking.

Conclusions:

  • Network meta-analysis is a powerful tool for comparing multiple treatments in systematic reviews.
  • It facilitates evidence-based decision-making by ranking interventions.
  • The modified GRADE approach enhances the evaluation of evidence quality in network meta-analyses.