Data presentation in rodent stroke studies and the predictive value of confidence intervals
Michael E Sughrue1, Bartosz T Grobelny, Andrew F Ducruet
1Department of Neurological Surgery, University of California at San Francisco, San Francisco, California, USA.
Summary
Preclinical data for neuroprotective agents often overestimates effectiveness, leading to underpowered clinical trials. Many agents show small effect sizes in rodent models, particularly for neurological function, suggesting limited therapeutic potential.
Area of Science:
- Neuroscience
- Pharmacology
- Biostatistics
Background:
- Clinical failures of neuroprotective agents are partly due to statistical issues in preclinical data.
- Overestimation of effect size and underpowered clinical studies are common problems.
Purpose of the Study:
- To analyze the effect size of neuroprotective agents in preclinical rodent models.
- To identify potential biases in statistical reporting that impact clinical translation.
Main Methods:
- Searched for studies using neuroprotective agents in rodent middle cerebral artery occlusion models.
- Identified statistically significant experimental groups and calculated meta-analyses of effect size.
- Determined the lower limits of confidence intervals (LLCI) for effect sizes.
Main Results:
- 73% of experimental groups showed small effect sizes (LLCI < 0.2).
- 48% of agents had small effect sizes for infarct volume, and 61% for neurological function.
- Effect sizes for neurological function were consistently smaller, indicating a more conservative estimate.
Conclusions:
- Preclinical data often inflates the true effect size of neuroprotective drugs.
- Smaller effect sizes, especially for neurological function, suggest limited clinical efficacy.
- Improved statistical reporting in preclinical studies is crucial for successful clinical translation.
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