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Related Concept Videos

Protein Networks02:26

Protein Networks

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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,...
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Directing Effect of Substituents: meta-Directing Groups01:09

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Substituents on the benzene ring that direct an incoming electrophile to undergo substitution at the meta position are called meta directors. All meta directors either have a positive charge on the atom directly bonded to the ring or a partial positive charge. These groups function by withdrawing electrons from the ring through inductive and resonance effects. Consider the carbocation intermediates formed upon the addition of an electrophile on nitrobenzene at the...
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Network Covalent Solids02:18

Network Covalent Solids

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Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
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Predator-Prey Interactions02:39

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Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
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meta-Directing Deactivators: –NO2, –CN, –CHO, –⁠CO2R, –COR, –CO2H01:13

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All meta-directing substituents are deactivating groups. These substituents withdraw electrons from the aromatic ring, making the ring less reactive toward electrophilic substitution. For example, the nitration of nitrobenzene is 100,000 times slower than that of benzene because of the deactivating effect of the nitro group. The first step in an electrophilic aromatic substitution is the addition of an electrophile to form a resonance-stabilized carbocation. The energy diagrams for...
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Related Experiment Video

Updated: Jan 21, 2026

Behavioral and Network Pharmacology-Based Analyses for the Traditional Mongolian Medicine Zadi-5 in a Rat Model of Depression
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MetaInsight: An interactive web-based tool for analyzing, interrogating, and visualizing network meta-analyses using

Rhiannon K Owen1, Naomi Bradbury2, Yiqiao Xin3

  • 1NIHR Complex Reviews Support Unit, Department of Health Sciences, College of Life Sciences, University of Leicester, George Davies Centre, Leicester, UK.

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|July 27, 2019
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Summary

A new web tool, MetaInsight, simplifies network meta-analysis (NMA) for researchers. This accessible tool enables easier identification of optimal treatments, enhancing healthcare decision-making.

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Area of Science:

  • Health Services Research
  • Biostatistics
  • Medical Informatics

Background:

  • Network meta-analysis (NMA) is crucial for identifying optimal treatments in healthcare decision-making.
  • Existing NMA software requires significant statistical programming expertise, limiting researcher accessibility.
  • There is a need for user-friendly tools to democratize NMA.

Purpose of the Study:

  • To develop an intuitive, web-based tool for conducting network meta-analyses.
  • To enable users with standard internet browsers to perform NMAs via a point-and-click interface.
  • To facilitate the visual presentation of NMA results.

Main Methods:

  • The MetaInsight tool was developed using R packages: netmeta for analysis and Shiny for the user interface.
  • The tool provides a web-based platform accessible through standard internet browsers.
  • An illustrative example was used to demonstrate the tool's application.

Main Results:

  • A functional package for conducting network meta-analysis was successfully created.
  • The MetaInsight tool meets the objective of providing an accessible NMA solution.
  • The tool's application is demonstrated, showcasing its capabilities.

Conclusions:

  • MetaInsight empowers researchers and decision-makers to conduct and scrutinize NMAs visually and in real-time.
  • The tool enhances the relevance of statistical analyses in healthcare decision-making by increasing capacity among non-specialists.
  • It is anticipated that MetaInsight will inspire the development of similar tools for other advanced analytical methods.