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We find that the percentage of papers reporting the sex and age of mice has increased over the past two decades: however, only about 50% of the papers published in 2014 reported these two variables.

We also compared the quality of reporting in six preclinical research areas and found evidence for different levels of sex-bias in these areas: the strongest male-bias was observed in cardiovascular disease models and the strongest female-bias was found in infectious disease models.

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However, the translation of scientific findings from animal models to humans is far from straightforward, and more than 80% of potential therapeutics fail in human clinical trials after being successful in animal models (Perrin, 2014).

There is a clear need, therefore, for animal research to become more reliable and reproducible (van der Worp et al., 2010).

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The accurate reporting of experimental methods and materials, including the sex and age of animals, is essential so that other researchers can build on the results of such studies.

Here we use text mining to study 15,311 research papers in which mice were the focus of the study.


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