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A Novel Graphical Method for Data Presentation in Alcohol Systematic Reviews: The Interactive Harvest Plot.

James Foulds1, Josh Knight2, Jesse T Young3,4,5,6

  • 1Department of Psychological Medicine, University of Otago at Christchurch, Christchurch 8011, New Zealand.

Alcohol and Alcoholism (Oxford, Oxfordshire)
|January 22, 2021
PubMed
Summary
This summary is machine-generated.

Interactive harvest plots offer a novel way to visualize data in systematic reviews, especially for complex alcohol literature. This graphical method aids in exploring trends and biases when meta-analysis is challenging due to varied study designs.

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Area of Science:

  • Bibliometrics
  • Data Visualization
  • Scientific Communication

Background:

  • Systematic reviews in the alcohol literature often face challenges with heterogeneous study designs and outcome measures.
  • Traditional meta-analysis can be difficult or impossible when data is inconsistent across studies.
  • Novel methods are needed to effectively present and explore complex evidence.

Purpose of the Study:

  • To introduce and demonstrate an interactive harvest plot application for presenting and exploring data within systematic reviews.
  • To provide a graphical tool that accommodates diverse study designs and outcome reporting in the alcohol literature.
  • To enhance the accessibility and interpretability of systematic review findings.

Main Methods:

  • Harvest plots were utilized as a graphical method to display evidence patterns from systematic reviews.
  • An interactive online harvest plot application was developed, extending the utility of traditional harvest plots.
  • The application was tested using data from a meta-analysis on personality disorder and alcohol treatment outcomes.

Main Results:

  • The interactive harvest plot effectively visualizes trends across multiple outcomes, including study bias and publication year.
  • Heterogeneity in study designs and outcome definitions, common in alcohol literature, was addressed.
  • Meta-analysis was hindered by inconsistent outcome measurement and incomplete data, highlighting the need for alternative methods like harvest plots.

Conclusions:

  • Interactive harvest plots represent a novel graphical approach for presenting systematic review data.
  • This method can supplement or replace meta-analysis, particularly when dealing with heterogeneous studies and measures in fields like alcohol research.
  • The developed application facilitates deeper exploration of complex datasets within systematic reviews.