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Related Experiment Videos

Retrieval of missing data for meta-analysis: a practical example.

George A Kelley1, Kristi S Kelley, Zung Vu Tran

  • 1Department of Community Medicine, Robert C Byrd Health Sciences Center, West Virginia University, Morgantown 26506-9190, USA.

International Journal of Technology Assessment in Health Care
|September 28, 2004
PubMed
Summary
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Retrieving missing data for meta-analyses on aerobic exercise and lipids showed moderate success. This effort reduced study exclusions, highlighting the value of data recovery in health research.

Area of Science:

  • Exercise physiology
  • Cardiovascular health
  • Biostatistics

Background:

  • Meta-analyses require comprehensive data for accurate synthesis.
  • Missing outcome data can bias results and reduce study power.
  • Aerobic exercise is known to impact lipids and lipoproteins.

Purpose of the Study:

  • To assess the feasibility of obtaining missing outcome data for meta-analyses.
  • To evaluate the impact of retrieved data on study inclusion rates.
  • To use the effects of aerobic exercise on lipids and lipoproteins as a case study.

Main Methods:

  • Electronic mail requests were sent to 39 studies with missing lipid/lipoprotein data.
  • Binary logistic regression analyzed predictors (publication year, country) of data provision.

Related Experiment Videos

  • Data were requested from a meta-analytic database of 174 eligible studies.
  • Main Results:

    • Usable data were received from 13 out of 39 (33.3%) requested studies.
    • The inclusion of retrieved data reduced the potential study exclusion rate by 33.5%.
    • Publication year and study country did not significantly predict data provision (p > .05).

    Conclusions:

    • Moderate success was achieved in acquiring missing outcome data for aerobic exercise and lipid research.
    • The feasibility of this data retrieval method needs further investigation in other research areas.
    • Efforts to recover missing data can enhance the completeness and reliability of meta-analyses.