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Meta-Analysis: The Holy Grail?

Danielle J W Vos1,2, Hannah H Schulz3,4, Martijn R Meijerink1

  • 1Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

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This summary is machine-generated.

Meta-analysis in interventional oncology (IO) faces challenges but is increasingly used. While not definitive, it

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CA: CryoablationEBM: Evidence-based medicineGRADE: Grading of recommendations assessment, development and evaluationIO: Interventional OncologyIRE: Irreversible electroporationMWA: Microwave ablationPRISMA: Preferred Reporting Items for Systematic Reviews and Meta-AnalysesRCTs: Randomized controlled trialsRFA: Radiofrequency ablationTA(C)E: Trans arterial (chemo) embolizationTARE: Transarterial radioembolization (TARE)

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Area of Science:

  • Interventional Oncology
  • Evidence Synthesis
  • Clinical Research Methodology

Background:

  • Meta-analysis is crucial for evidence synthesis but faces challenges in interventional oncology (IO) due to study heterogeneity and limited randomized trials.
  • This review examines the evidence landscape in IO, highlighting the role of systematic reviews and meta-analyses in clinical decision-making.

Purpose of the Study:

  • To evaluate the current state of evidence within interventional oncology.
  • To assess the role and challenges of systematic reviews and meta-analyses in guiding clinical decisions in IO.

Main Methods:

  • A PubMed search was conducted to identify published article types in interventional oncology over recent decades.
  • Analysis focused on trends in original articles versus systematic reviews and meta-analyses.

Main Results:

  • The volume of original research articles in IO has remained stable over time.
  • There has been a significant increase in the publication of systematic reviews and meta-analyses in IO.

Conclusions:

  • The rise in meta-analyses suggests a shift towards evaluating existing research over generating new prospective studies in IO.
  • Meta-analysis is a valuable methodological tool in IO, but its conclusions are contingent on the quality and relevance of the included studies.
  • The discussion will cover evidence grading (e.g., GRADE), reporting guidelines (e.g., PRISMA), and biases (risk of bias, publication bias).