Related Experiment Video
Updated: Jul 2, 2026

Aseptic Laboratory Techniques: Volume Transfers with Serological Pipettes and Micropipettors
Published on: May 31, 2012
Good laboratory practice: preventing introduction of bias at the bench
Malcolm R Macleod1, Marc Fisher, Victoria O'Collins
1Centre for Clinical Brain Sciences, University of Edinburgh, UK.
Background And Purpose:
As a research community, we have failed to demonstrate that drugs which show substantial efficacy in animal models of cerebral ischemia can also improve outcome in human stroke. Summary of Review- Accumulating evidence suggests this may be due, at least in part, to problems in the design, conduct and reporting of animal experiments which create a systematic bias resulting in the overstatement of neuroprotective efficacy.
Conclusions:
Here, we set out a series of measures to reduce bias in the design, conduct and reporting of animal experiments modeling human stroke.
Insights
Research into neuroprotective drugs for cerebral ischemia has failed to translate from animal models to human stroke patients. This is likely due to systematic bias in animal study design, conduct, and reporting, overstating drug efficacy.
Area of Science:
- Neuroscience
- Pharmacology
- Translational Medicine
Background:
- Clinical translation of neuroprotective drugs from animal models of cerebral ischemia to human stroke has been unsuccessful.
- Evidence suggests systematic bias in animal experimental design, conduct, and reporting overstates drug efficacy.
Purpose of the Study:
- To identify and propose measures to mitigate bias in animal models of human stroke.
- To improve the reliability and translatability of preclinical research in stroke.
Main Methods:
- Review of existing literature on bias in preclinical stroke research.
- Development of a framework for reducing bias in experimental design, conduct, and reporting.
Main Results:
- Identification of key sources of systematic bias in animal stroke models.
- Proposed methodological improvements to enhance the validity of preclinical stroke studies.
Conclusions:
- Implementing standardized measures to reduce bias is crucial for improving the success rate of neuroprotective drugs in human stroke.
- Enhanced rigor in animal research is essential for advancing stroke treatment.
Related Concept Videos
Bias in Epidemiological Studies
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Controls in Experiments
Contaminants and Errors
Another key consideration is determining the appropriate number of samples required to...
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Blind Procedures

