Diabetes in Danish Bank Voles (M. glareolus): Survivorship, Influence on Weight, and Evaluation of Polydipsia as a Screening Tool for Hyperglycaemia
2011

Danish Bank Voles as a Model for Type 1 Diabetes

Sample size: 459 publication 10 minutes Evidence: moderate

Author Information

Author(s): Schønecker Bryan, Freimanis Tonny, Sørensen Irene Vejgaard

Primary Institution: Department of Biology, University of Copenhagen, Copenhagen, Denmark

Hypothesis

Can polydipsia in Danish bank voles be used as a non-invasive screening tool for hyperglycaemia and evaluate their survivorship and weight in relation to diabetes?

Conclusion

Danish bank voles can survive for a median of at least 91 days after the onset of polydipsia, and their weight does not differ from non-polydipsic voles.

Supporting Evidence

  • Median survival after onset of polydipsia is at least 91 days.
  • The development of polydipsia does not influence the weight of Danish bank voles.
  • Polydipsia can be used as a non-invasive screening tool for hyperglycaemia with a sensitivity of 68% and specificity of 97%.
  • Positive predictive value of the method is 89%.
  • Negative predictive value of the method is also 89%.

Takeaway

This study shows that bank voles can live for a long time with diabetes and that measuring how much water they drink can help tell if they are sick without hurting them.

Methodology

Retrospective analysis of data from two colonies of Danish bank voles to estimate survivorship after onset of polydipsia, evaluate weight differences, and assess the accuracy of polydipsia as a screening tool for hyperglycaemia.

Potential Biases

There may be biases related to the housing conditions and the selection criteria for voles included in the analysis.

Limitations

The study is limited by the retrospective nature of the data and potential biases in the selection of voles.

Participant Demographics

Danish bank voles from two separate colonies, with a total of 459 voles analyzed.

Statistical Information

P-Value

p<0.0001

Confidence Interval

25/75 percentiles = 57/134 days

Statistical Significance

p<0.0001

Digital Object Identifier (DOI)

10.1371/journal.pone.0022893

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