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Related Experiment Videos

Why it is important to include unpublished data in systematic reviews.

C Trespidi1, C Barbui, A Cipriani

  • 1Section of Psychiatry and Clinical Psychology, Department of Public Health and Community Medicine, University of Verona, Piazzale L.A. Scuro, 10-37134 Verona, Italy.

Epidemiology and Psychiatric Sciences
|July 1, 2011
PubMed
Summary
This summary is machine-generated.

Publication bias means studies with significant results are more likely published. This paper explores methods to find unpublished study data, crucial for comprehensive evidence synthesis.

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Area of Science:

  • Medical Research
  • Clinical Trials
  • Evidence-Based Medicine

Background:

  • Statistically significant study results increase publication likelihood, leading to publication bias.
  • Unpublished studies or data may skew systematic reviews and meta-analyses.
  • Incomplete data retrieval poses a challenge for accurate research synthesis.

Purpose of the Study:

  • To explore methodologies for retrieving unpublished study evidence.
  • To address the challenge of publication bias in scientific literature.
  • To improve the completeness of data used in research.

Main Methods:

  • Literature search strategies targeting unpublished data.
  • Exploration of regulatory agency databases.
  • Analysis of clinical trial registries for completion status.

Main Results:

  • Identification of key strategies for accessing unpublished study findings.
  • Demonstration of the prevalence of unpublished data.
  • Highlighting the importance of diverse data sources.

Conclusions:

  • Retrieving unpublished evidence is essential for robust scientific conclusions.
  • Proactive methods are needed to mitigate publication bias.
  • Comprehensive data retrieval enhances the reliability of research outcomes.