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Update to: Application of Bayesian decision-making to laboratory testing for Lyme disease and comparison with testing for HIV

Authors Cook MJ , Puri BK 

Received 29 June 2017

Accepted for publication 17 August 2017

Published 11 September 2017 Volume 2017:10 Pages 291—292

DOI https://doi.org/10.2147/IJGM.S145134

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Scott Fraser



Michael J Cook,1 Basant K Puri2

1Independent researcher, Highcliffe, UK; 2Department of Medicine, Hammersmith Hospital, Imperial College London, London, UK

In our recent Bayesian analysis paper, false-negative results were compared between Lyme disease and HIV using a recommended test algorithm.1 When the two-tier test methodology for Lyme disease was compared with HIV two-stage testing, false negatives could be more than 500 times higher for Lyme disease testing.


Disclosure

The authors report no conflicts of interest in this work.

References

1.

Cook MJ, Puri BK. Application of Bayesian decision-making to laboratory testing for Lyme disease and comparison with testing for HIV Application of Bayes to Lyme disease testing. Int J Gen Med. 2017;10:113–123.

2.

Centers for Disease Control and Prevention. Laboratory testing for the diagnosis of HIV infection updated recommendations; 2014:1–68. Available from: http://dx.doi.org/10.15620/cdc.23447. Accessed June 28, 2017.

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