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Related Experiment Videos

Sensitivity analyses allowed more appropriate and reliable meta-analysis conclusions for multiple outcomes when

Richard D Riley1, Alex J Sutton, Keith R Abrams

  • 1Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, Princess Road West, Leicester LE1 6TP, United Kingdom. rdr3@leicester.ac.uk

Journal of Clinical Epidemiology
|October 27, 2004
PubMed
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Meta-analysis of MYC-N in neuroblastoma is challenged by missing data and dissemination bias. Sensitivity analyses suggest potential overestimation but confirm MYC-N as a significant prognostic marker.

Area of Science:

  • Biostatistics
  • Oncology
  • Medical Research Methodology

Background:

  • Meta-analyses face challenges with incomplete data from published and unpublished studies.
  • Dissemination bias, affecting outcome reporting, contributes to data unavailability in meta-analyses.
  • This impacts the reliability of conclusions drawn from systematic reviews.

Purpose of the Study:

  • To illustrate problems of missing data and dissemination bias in meta-analysis.
  • To present sensitivity analyses for more reliable conclusions in meta-analysis.
  • To assess the prognostic value of MYC-N in neuroblastoma.

Main Methods:

  • Conducted a systematic review and meta-analysis on the prognostic marker MYC-N in neuroblastoma.
  • Extracted data for overall survival (OS) and disease-free survival (DFS) from available studies.

Related Experiment Videos

  • Employed sensitivity analyses, predicting missing estimates based on related outcomes and assessing dissemination bias.

    • Main Results:

    • Sensitivity analyses indicated that pooled effect-sizes for OS and DFS might be overestimated.
    • Despite potential overestimation, the analyses strengthened the evidence for MYC-N as a prognostic marker.
    • The study highlights the impact of missing data on meta-analysis outcomes.

    Conclusions:

    • Sensitivity analyses are crucial for drawing reliable conclusions in meta-analyses with missing data.
    • Addressing dissemination bias is essential for robust systematic reviews.
    • The findings support the role of MYC-N as a significant prognostic marker in neuroblastoma.