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Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
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3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue
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Statistical Power in Musculoskeletal Research: A Meta-Review of 266 Randomised Controlled Trials.

Chris Bleakley1, Natalie Klempel2, Jente Wagemans3

  • 1School of Health Sciences, Ulster University, Belfast, Northern Ireland. c.bleakley@ulster.ac.uk.

Sports Medicine - Open
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PubMed
Summary

Most randomized controlled trials (RCTs) in musculoskeletal injury research lack adequate statistical power, limiting their clinical usefulness. Improving study design and methodology is crucial for reliable research findings.

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Area of Science:

  • Orthopedics and Sports Medicine
  • Clinical Research Methodology
  • Biostatistics

Background:

  • Underpowered study designs reduce the reliability of experimental research.
  • Concerns exist regarding the statistical power of randomized controlled trials (RCTs) used in musculoskeletal injury management.

Purpose of the Study:

  • To assess the statistical power and sample size calculations of RCTs in musculoskeletal injury research.
  • To identify factors contributing to low statistical power in this field.

Main Methods:

  • Systematic search of meta-analyses of RCTs comparing conservative interventions for musculoskeletal injury.
  • Estimation of statistical power using meta-analytic and conventional approaches.
  • Screening of RCT manuscripts and registry entries for sample size planning details.

Main Results:

  • Analysis of 266 RCTs within 41 meta-analyses revealed a median statistical power of 42%.
  • Fewer than one-third of RCTs had ≥80% power to detect their meta-analysis summary effect.
  • Only 7.9% of RCTs had adequate power for small effect sizes; 0% for small effects.
  • Sample size calculations were reported in only 25% of RCTs, with most overestimating effect sizes.

Conclusions:

  • Low statistical power is prevalent in musculoskeletal injury research, diminishing the clinical utility of many RCTs.
  • Underlying causes of low power are multifactorial, extending beyond sample size calculations.
  • Enhancing study power necessitates methodological improvements, including robust planning, multi-center collaboration, and valid outcome measures.