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Systematic review and meta-analysis.

M Delgado-Rodríguez1, M Sillero-Arenas2

  • 1Catedrático de Medicina Preventiva y Salud Pública, Universidad de Jaén, Jaén, Spain; Director Científico, CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

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Summary
This summary is machine-generated.

This review outlines systematic review and meta-analysis methods, emphasizing independent study selection and data collection to minimize bias. It details combining binary outcomes and assessing heterogeneity and publication bias using Stata.

Keywords:
HeterogeneidadHeterogeneityMeta-analysisMetaanálisisPublication biasRevisión sistemáticaSesgo de publicaciónSystematic reviews

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Area of Science:

  • Medical research methodology
  • Evidence-based medicine

Background:

  • Systematic reviews and meta-analyses are crucial for synthesizing research findings.
  • Standardized methods are essential for reliable and reproducible results.

Purpose of the Study:

  • To outline the standard methodologies for conducting systematic reviews and meta-analyses.
  • To provide guidance on study selection, data collection, and bias assessment.

Main Methods:

  • Systematic literature searches using multiple web repertories and manual reference checking.
  • Independent study selection and data extraction by two investigators.
  • Quality assessment using validated scales and bias evaluation.

Main Results:

  • Description of common methods for combining binary outcomes (inverse of variance, Mantel-Haenszel, Peto).
  • Illustration of Stata commands for data analysis, heterogeneity assessment, and publication bias detection.

Conclusions:

  • Adherence to rigorous, independent methods enhances the validity of systematic reviews and meta-analyses.
  • Proper assessment of bias and heterogeneity is critical for accurate evidence synthesis.