Home / Research Articles Hub / Conducting proportional meta-analysis in different...
🤖 Artificial Intelligence OpenAlex

Conducting proportional meta-analysis in different types of systematic reviews: a guide for synthesisers of evidence

📅 Published: September 20, 2021 👤 Timothy Hugh Barker, Celina Borges Migliavaca, Cinara Stein et al. 📖 BMC Medical Research Methodology 📊 721 citations
AI-Generated Summary

BACKGROUND: Single group data present unique challenges for synthesises of evidence. We provide worked examples of how proportional meta-analyses have been conducted in research syntheses previously and consider the methods, statistical considerations, and presentation of this technique.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Proportional meta-analysis is becoming an increasingly common technique employed for the synthesis of single group data.
  • 2 Proportional meta-analysis shares many similarities with the conduct and reporting of comparative, or pairwise, meta-analysis.
  • 3 While robust and comprehensive methods exist detailing how researchers can conduct a meta-analysis that compares two (or more) groups against a common intervention, there is a scarcity of methodological guidance available to assist synthesisers of evidence in the conduct, interpretation, and importance of proportional meta-analysis in systematic reviews.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

Read Full Paper at OpenAlex
More Artificial Intelligence Papers ← Back to Hub 📚 Learning Hub
Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Sep 20, 2021
Journal BMC Medical Research Methodology
DOI 10.1186/s12874-021-01381-z
Citations 721
Authors Timothy Hugh Barker, Celina Borges Migliavaca, Cinara Stein, Verônica Colpani, Maicon Falavigna