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Updated: Jul 2, 2026

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials
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The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

Published on: April 19, 2024

From Five-Number Summary to Absolute Heterogeneity: Recent Methodological Advances in Meta-Analysis With Continuous

Ke Yang1, Jiandong Shi2, Jianxin Pan3

  • 1Department of Statistics and Data Science, Beijing University of Technology, Beijing, China.

Journal of Evidence-Based Medicine
|July 1, 2026
PubMed
Summary
This summary is machine-generated.

This review addresses challenges in meta-analysis for continuous outcomes. It details methods for estimating means and standard deviations from five-number summaries and introduces absolute heterogeneity statistics for robust analysis.

Keywords:
absolute heterogeneitycontinuous outcomesfive‐number summarymeanmeta‐analysisstandard deviation

Related Experiment Videos

Last Updated: Jul 2, 2026

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials
08:36

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

Published on: April 19, 2024

Area of Science:

  • Biostatistics
  • Medical Research Methodology

Background:

  • Meta-analysis for continuous outcomes faces challenges with non-standard data reporting (five-number summaries) and heterogeneity quantification.
  • Existing methods struggle to integrate studies lacking sample means and standard deviations (SD).

Purpose of the Study:

  • To review recent advances in estimating sample means and SDs from five-number summaries.
  • To discuss methods for quantifying between-study heterogeneity, including limitations of I-squared and the utility of absolute heterogeneity statistics.

Main Methods:

  • Summarizing recent estimation methods for sample mean and SD from five-number summaries (median, interquartile range, range).
  • Reviewing skewness tests to assess normality assumptions for estimators.
  • Discussing relative heterogeneity (I-squared) and absolute heterogeneity (IA-squared) statistics.

Main Results:

  • Recent methods allow for estimation of means and SDs from five-number summaries, with skewness tests guiding estimator choice.
  • Absolute heterogeneity statistics (IA-squared) offer sample-size-invariant quantification of population-level variation, complementing I-squared.

Conclusions:

  • This review provides practical guidelines and tools for integrating studies with five-number summaries into meta-analysis.
  • The methods discussed enhance the rigor and transparency of meta-analytic practice for continuous outcomes, especially with nonstandard data and varying heterogeneity.