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Related Experiment Video

Updated: Oct 3, 2025

Author Spotlight: Development of a Minimally Invasive Large-Animal Model for Reliable and Reproducible Cardiovascular Research
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Weaknesses in Experimental Design and Reporting Decrease the Likelihood of Reproducibility and Generalization of

John L Williams1, Hsini Cindy Chu1, Marissa K Lown1

  • 1College of Osteopathic Medicine, University of New England, Biddeford, USA.

Cureus
|February 14, 2022
PubMed
Summary

Reproducibility in cardiovascular research is low due to poor reporting and low statistical power. Implementing checklists and increasing study power can improve the reliability of preclinical and clinical findings.

Keywords:
arrivebiascardiovascular researchchecklistirreproducibilitypowerpreclinical researchreproducibilitystatistical power

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Area of Science:

  • Cardiovascular Research
  • Scientific Reproducibility
  • Biomedical Science

Background:

  • Growing evidence highlights a reproducibility crisis in clinical and preclinical research.
  • Key factors contributing to irreproducibility include flawed study design, insufficient statistical power, bias, and inadequate reporting.

Purpose of the Study:

  • To evaluate the quality of published cardiovascular research in three leading journals.
  • To assess statistical power and adherence to the augmented ARRIVE guidelines (Animal Research: Reporting of In Vivo Experiments).
  • To determine if a mandatory reporting checklist enhances research quality.

Main Methods:

  • Analysis of statistical power for unpaired t-tests.
  • Assessment of adherence to 40 categories within the augmented ARRIVE guidelines using a 0-2 scale.
  • Comparison of reporting quality with and without a mandatory checklist.

Main Results:

  • Average median statistical power was low for detecting small changes (0.27 ± 0.06 for 20% change).
  • Significant deficiencies were found in reporting key elements like primary/secondary outcomes, power calculations, randomization, blinding, and bias assessment.
  • A checklist improved reporting compliance and quality, but critical areas remained inadequate.

Conclusions:

  • The low probability of reproducibility in cardiovascular research stems from incomplete reporting, insufficient statistical power, and a lack of bias-mitigation practices.
  • Recommendations include increasing sample sizes to enhance power, utilizing detailed checklists, and enforcing adherence through editorial monitoring.
  • These interventions are crucial for improving the reliability and reproducibility of scientific findings.