What's Right and Wrong in Preclinical Science: A Matter of Principled Investigation

Laura N Smith1,2

  • 1Department of Neuroscience and Experimental Therapeutics, Texas A&M University Health Science Center, Bryan, TX, United States.

Insights

Preclinical studies in neuroscience are hampered by positive bias, jeopardizing the discovery of effective treatments for neuropsychiatric conditions. Systemic changes are needed to prioritize robust methodology over statistical significance.

Area of Science:

  • Neuroscience
  • Psychiatry
  • Clinical Trials

Background:

  • The discovery of treatments for neuropsychiatric conditions is hindered by systemic issues in scientific research.
  • Preclinical studies, particularly in neuroscience, exhibit a significant positive bias in reported results.
  • Existing efforts to mitigate bias have been largely ineffective due to insufficient attention and systemic pressures.

Purpose of the Study:

  • To highlight the detrimental impact of positive bias in preclinical research on the development of neuropsychiatric treatments.
  • To advocate for fundamental changes in the scientific system to address pervasive bias.
  • To propose specific reforms that promote research integrity and improve the reliability of findings.

Main Methods:

  • Analysis of the current scientific system and its contribution to research bias.
  • Identification of key factors driving positive bias in preclinical studies.
  • Proposal of systemic reforms focusing on research methodology and reporting standards.

Main Results:

  • A strong positive bias in preclinical neuroscience studies contributes to clinical trial failures.
  • Current scientific and competitive pressures incentivize biased reporting rather than bias mitigation.
  • Lack of meaningful change despite recognition of bias indicates a need for systemic intervention.

Conclusions:

  • Urgent systemic changes are required to counteract positive bias in scientific discovery.
  • Shifting focus from statistical significance and clean narratives to a priori power calculations is crucial.
  • Individual scientists must adopt responsible practices in research planning, analysis, and presentation to reinforce these systemic changes.

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